Introducing RagaAI AgentNeo: Evaluate all stages of Agentic AI workflows and deploy with confidence. Explore AgentNeo
Introducing RagaAI AgentNeo: Evaluate all stages of Agentic AI workflows and deploy with confidence. Explore AgentNeo
Introducing RagaAI AgentNeo: Evaluate all stages of Agentic AI workflows and deploy with confidence. Explore AgentNeo
Introducing RagaAI AgentNeo: Evaluate all stages of Agentic AI workflows and deploy with confidence. Explore AgentNeo
Introducing RagaAI AgentNeo: Evaluate all stages of Agentic AI workflows and deploy with confidence. Explore AgentNeo
Introducing RagaAI AgentNeo: Evaluate all stages of Agentic AI workflows and deploy with confidence. Explore AgentNeo
Introducing RagaAI AgentNeo: Evaluate all stages of Agentic AI workflows and deploy with confidence. Explore AgentNeo
Introducing RagaAI AgentNeo: Evaluate all stages of Agentic AI workflows and deploy with confidence
Explore AgentNeo
Introducing RagaAI AgentNeo: Evaluate all stages of Agentic AI workflows and deploy with confidence. Explore AgentNeo
Introducing RagaAI AgentNeo: Evaluate all stages of Agentic AI workflows and deploy with confidence. Explore AgentNeo
Introducing RagaAI AgentNeo: Evaluate all stages of Agentic AI workflows and deploy with confidence
Explore AgentNeo
Introducing RagaAI AgentNeo: Evaluate all stages of Agentic AI workflows and deploy with confidence. Explore AgentNeo
Address LLM Hallucinations and Optimize Costs
Address LLM Hallucinations and Optimize Costs
Address LLM Hallucinations and Optimize Costs
Address LLM Hallucinations and Optimize Costs
Address LLM Hallucinations and Optimize Costs
Address LLM Hallucinations and Optimize Costs
Address LLM Hallucinations and Optimize Costs
Address LLM Hallucinations and Optimize Costs
Address LLM Hallucinations and Optimize Costs
Address LLM Hallucinations and Optimize Costs
Address LLM Hallucinations and Optimize Costs
Address LLM Hallucinations and Optimize Costs
Address LLM Hallucinations and Optimize Costs
Powering Secure, Reliable, and Cost-Efficient GenAI Solutions for Enterprises
RagaAI® is Trusted by AI leaders globally
RagaAI® is Trusted by AI leaders globally
RagaAI® is Trusted by AI leaders globally
Bridging the gap from Prototype to Production
Bridging the gap from Prototype to Production
Bridging the gap from Prototype to Production
Bridging the gap from Prototype to Production
Bridging the gap from Prototype to Production
Bridging the gap from Prototype to Production
Bridging the gap from Prototype to Production
Bridging the gap from Prototype to Production
Bridging the gap from Prototype to Production
Bridging the gap from Prototype to Production
Bridging the gap from Prototype to Production
Bridging the gap from Prototype to Production
Bridging the gap from Prototype to Production
GenAI applications face a host of challenges when deployed in production environments
GenAI applications face a host of challenges when deployed in production environments
GenAI applications face a host of challenges when deployed in production environments
GenAI applications face a host of challenges when deployed in production environments
GenAI applications face a host of challenges when deployed in production environments
GenAI applications face a host of challenges when deployed in production environments
GenAI applications face a host of challenges when deployed in production environments
GenAI applications face a host of challenges when deployed in production environments
GenAI applications face a host of challenges when deployed in production environments
GenAI applications face a host of challenges when deployed in production environments
GenAI applications face a host of challenges when deployed in production environments
GenAI applications face a host of challenges when deployed in production environments
GenAI applications face a host of challenges when deployed in production environments
Reliability
Reliability
Reliability
Unreliable AI can lead to misguided decisions based on irrelevant information, risking financial loss and strategic errors
Unreliable AI can lead to misguided decisions based on irrelevant information, risking financial loss and strategic errors
Unreliable AI can lead to misguided decisions based on irrelevant information, risking financial loss and strategic errors
Unreliable AI can lead to misguided decisions based on irrelevant information, risking financial loss and strategic errors
Unreliable AI can lead to misguided decisions based on irrelevant information, risking financial loss and strategic errors
Unreliable AI can lead to misguided decisions based on irrelevant information, risking financial loss and strategic errors
Unreliable AI can lead to misguided decisions based on irrelevant information, risking financial loss and strategic errors
Unreliable AI can lead to misguided decisions based on irrelevant information, risking financial loss and strategic errors
Unreliable AI can lead to misguided decisions based on irrelevant information, risking financial loss and strategic errors
Unreliable AI can lead to misguided decisions based on irrelevant information, risking financial loss and strategic errors
Unreliable AI can lead to misguided decisions based on irrelevant information, risking financial loss and strategic errors
Unreliable AI can lead to misguided decisions based on irrelevant information, risking financial loss and strategic errors
Unreliable AI can lead to misguided decisions based on irrelevant information, risking financial loss and strategic errors
Hallucination
Unchecked hallucinations can undermine your credibility, spread misinformation, and lead to costly errors. Mitigating this risk is crucial to maintaining the reliability and integrity of AI-driven applications.
Misinformation
Fabrication
Incoherence
Hallucination
Unchecked hallucinations can undermine your credibility, spread misinformation, and lead to costly errors. Mitigating this risk is crucial to maintaining the reliability and integrity of AI-driven applications.
Misinformation
Fabrication
Incoherence
Hallucination
Unchecked hallucinations can undermine your credibility, spread misinformation, and lead to costly errors. Mitigating this risk is crucial to maintaining the reliability and integrity of AI-driven applications.
Misinformation
Fabrication
Incoherence
Hallucination
Unchecked hallucinations can undermine your credibility, spread misinformation, and lead to costly errors. Mitigating this risk is crucial to maintaining the reliability and integrity of AI-driven applications.
Misinformation
Fabrication
Incoherence
Hallucination
Unchecked hallucinations can undermine your credibility, spread misinformation, and lead to costly errors. Mitigating this risk is crucial to maintaining the reliability and integrity of AI-driven applications.
Misinformation
Fabrication
Incoherence
Hallucination
Unchecked hallucinations can undermine your credibility, spread misinformation, and lead to costly errors. Mitigating this risk is crucial to maintaining the reliability and integrity of AI-driven applications.
Misinformation
Fabrication
Incoherence
Hallucination
Unchecked hallucinations can undermine your credibility, spread misinformation, and lead to costly errors. Mitigating this risk is crucial to maintaining the reliability and integrity of AI-driven applications.
Misinformation
Fabrication
Incoherence
Hallucination
Unchecked hallucinations can undermine your credibility, spread misinformation, and lead to costly errors. Mitigating this risk is crucial to maintaining the reliability and integrity of AI-driven applications.
Misinformation
Fabrication
Incoherence
Hallucination
Unchecked hallucinations can undermine your credibility, spread misinformation, and lead to costly errors. Mitigating this risk is crucial to maintaining the reliability and integrity of AI-driven applications.
Misinformation
Fabrication
Incoherence
Hallucination
Unchecked hallucinations can undermine your credibility, spread misinformation, and lead to costly errors. Mitigating this risk is crucial to maintaining the reliability and integrity of AI-driven applications.
Misinformation
Fabrication
Incoherence
Hallucination
Unchecked hallucinations can undermine your credibility, spread misinformation, and lead to costly errors. Mitigating this risk is crucial to maintaining the reliability and integrity of AI-driven applications.
Misinformation
Fabrication
Incoherence
Hallucination
Unchecked hallucinations can undermine your credibility, spread misinformation, and lead to costly errors. Mitigating this risk is crucial to maintaining the reliability and integrity of AI-driven applications.
Misinformation
Fabrication
Incoherence
Hallucination
Unchecked hallucinations can undermine your credibility, spread misinformation, and lead to costly errors. Mitigating this risk is crucial to maintaining the reliability and integrity of AI-driven applications.
Misinformation
Fabrication
Incoherence
Answer Reliably with RagaAI Catalyst
Don't let AI hallucinations derail your deployments. RagaAI Catalyst empowers you to proactively detect, monitor, and mitigate these risks, ensuring your AI-powered applications deliver reliable results.
Accurate
Relevant
Complete
Answer Reliably with RagaAI Catalyst
Don't let AI hallucinations derail your deployments. RagaAI Catalyst empowers you to proactively detect, monitor, and mitigate these risks, ensuring your AI-powered applications deliver reliable results.
Accurate
Relevant
Complete
Answer Reliably with RagaAI Catalyst
Don't let AI hallucinations derail your deployments. RagaAI Catalyst empowers you to proactively detect, monitor, and mitigate these risks, ensuring your AI-powered applications deliver reliable results.
Accurate
Relevant
Complete
Answer Reliably with RagaAI Catalyst
Don't let AI hallucinations derail your deployments. RagaAI Catalyst empowers you to proactively detect, monitor, and mitigate these risks, ensuring your AI-powered applications deliver reliable results.
Accurate
Relevant
Complete
Answer Reliably with RagaAI Catalyst
Don't let AI hallucinations derail your deployments. RagaAI Catalyst empowers you to proactively detect, monitor, and mitigate these risks, ensuring your AI-powered applications deliver reliable results.
Accurate
Relevant
Complete
Answer Reliably with RagaAI Catalyst
Don't let AI hallucinations derail your deployments. RagaAI Catalyst empowers you to proactively detect, monitor, and mitigate these risks, ensuring your AI-powered applications deliver reliable results.
Accurate
Relevant
Complete
Answer Reliably with RagaAI Catalyst
Don't let AI hallucinations derail your deployments. RagaAI Catalyst empowers you to proactively detect, monitor, and mitigate these risks, ensuring your AI-powered applications deliver reliable results.
Accurate
Relevant
Complete
Answer Reliably with RagaAI Catalyst
Don't let AI hallucinations derail your deployments. RagaAI Catalyst empowers you to proactively detect, monitor, and mitigate these risks, ensuring your AI-powered applications deliver reliable results.
Accurate
Relevant
Complete
Answer Reliably with RagaAI Catalyst
Don't let AI hallucinations derail your deployments. RagaAI Catalyst empowers you to proactively detect, monitor, and mitigate these risks, ensuring your AI-powered applications deliver reliable results.
Accurate
Relevant
Complete
Answer Reliably with RagaAI Catalyst
Don't let AI hallucinations derail your deployments. RagaAI Catalyst empowers you to proactively detect, monitor, and mitigate these risks, ensuring your AI-powered applications deliver reliable results.
Accurate
Relevant
Complete
Answer Reliably with RagaAI Catalyst
Don't let AI hallucinations derail your deployments. RagaAI Catalyst empowers you to proactively detect, monitor, and mitigate these risks, ensuring your AI-powered applications deliver reliable results.
Accurate
Relevant
Complete
Answer Reliably with RagaAI Catalyst
Don't let AI hallucinations derail your deployments. RagaAI Catalyst empowers you to proactively detect, monitor, and mitigate these risks, ensuring your AI-powered applications deliver reliable results.
Accurate
Relevant
Complete
Answer Reliably with RagaAI Catalyst
Don't let AI hallucinations derail your deployments. RagaAI Catalyst empowers you to proactively detect, monitor, and mitigate these risks, ensuring your AI-powered applications deliver reliable results.
Accurate
Relevant
Complete
Safety
LLMs can inadvertently expose sensitive personal information, leading to identity theft, fraud, and irreparable harm
LLMs can inadvertently expose sensitive personal information, leading to identity theft, fraud, and irreparable harm
LLMs can inadvertently expose sensitive personal information, leading to identity theft, fraud, and irreparable harm
LLMs can inadvertently expose sensitive personal information, leading to identity theft, fraud, and irreparable harm
LLMs can inadvertently expose sensitive personal information, leading to identity theft, fraud, and irreparable harm
LLMs can inadvertently expose sensitive personal information, leading to identity theft, fraud, and irreparable harm
LLMs can inadvertently expose sensitive personal information, leading to identity theft, fraud, and irreparable harm
LLMs can inadvertently expose sensitive personal information, leading to identity theft, fraud, and irreparable harm
LLMs can inadvertently expose sensitive personal information, leading to identity theft, fraud, and irreparable harm
LLMs can inadvertently expose sensitive personal information, leading to identity theft, fraud, and irreparable harm
LLMs can inadvertently expose sensitive personal information, leading to identity theft, fraud, and irreparable harm
LLMs can inadvertently expose sensitive personal information, leading to identity theft, fraud, and irreparable harm
LLMs can inadvertently expose sensitive personal information, leading to identity theft, fraud, and irreparable harm
PII Leakage
LLMs can inadvertently expose biased or sensitive personal information. Deploying discriminatory or harmful AI models can result in consequences ranging from regulatory penalties to irreversible damage to your brand's image.
Toxicity
PII Leakage
Bias
PII Leakage
LLMs can inadvertently expose biased or sensitive personal information. Deploying discriminatory or harmful AI models can result in consequences ranging from regulatory penalties to irreversible damage to your brand's image.
Toxicity
PII Leakage
Bias
PII Leakage
LLMs can inadvertently expose biased or sensitive personal information. Deploying discriminatory or harmful AI models can result in consequences ranging from regulatory penalties to irreversible damage to your brand's image.
Toxicity
PII Leakage
Bias
PII Leakage
LLMs can inadvertently expose biased or sensitive personal information. Deploying discriminatory or harmful AI models can result in consequences ranging from regulatory penalties to irreversible damage to your brand's image.
Toxicity
PII Leakage
Bias
PII Leakage
LLMs can inadvertently expose biased or sensitive personal information. Deploying discriminatory or harmful AI models can result in consequences ranging from regulatory penalties to irreversible damage to your brand's image.
Toxicity
PII Leakage
Bias
PII Leakage
LLMs can inadvertently expose biased or sensitive personal information. Deploying discriminatory or harmful AI models can result in consequences ranging from regulatory penalties to irreversible damage to your brand's image.
Toxicity
PII Leakage
Bias
PII Leakage
LLMs can inadvertently expose biased or sensitive personal information. Deploying discriminatory or harmful AI models can result in consequences ranging from regulatory penalties to irreversible damage to your brand's image.
Toxicity
PII Leakage
Bias
PII Leakage
LLMs can inadvertently expose biased or sensitive personal information. Deploying discriminatory or harmful AI models can result in consequences ranging from regulatory penalties to irreversible damage to your brand's image.
Toxicity
PII Leakage
Bias
PII Leakage
LLMs can inadvertently expose biased or sensitive personal information. Deploying discriminatory or harmful AI models can result in consequences ranging from regulatory penalties to irreversible damage to your brand's image.
Toxicity
PII Leakage
Bias
PII Leakage
LLMs can inadvertently expose biased or sensitive personal information. Deploying discriminatory or harmful AI models can result in consequences ranging from regulatory penalties to irreversible damage to your brand's image.
Toxicity
PII Leakage
Bias
PII Leakage
LLMs can inadvertently expose biased or sensitive personal information. Deploying discriminatory or harmful AI models can result in consequences ranging from regulatory penalties to irreversible damage to your brand's image.
Toxicity
PII Leakage
Bias
PII Leakage
LLMs can inadvertently expose biased or sensitive personal information. Deploying discriminatory or harmful AI models can result in consequences ranging from regulatory penalties to irreversible damage to your brand's image.
Toxicity
PII Leakage
Bias
PII Leakage
LLMs can inadvertently expose biased or sensitive personal information. Deploying discriminatory or harmful AI models can result in consequences ranging from regulatory penalties to irreversible damage to your brand's image.
Toxicity
PII Leakage
Bias
Answer Safely with RagaAI Catalyst
Our platform provides comprehensive monitoring and guardrails to detect and mitigate harmful biases and unsafe outputs in real-time. Safeguard your AI's integrity and ensure your applications uphold the highest ethical standards.
Compliant
Fortified
Proactive
Answer Safely with RagaAI Catalyst
Our platform provides comprehensive monitoring and guardrails to detect and mitigate harmful biases and unsafe outputs in real-time. Safeguard your AI's integrity and ensure your applications uphold the highest ethical standards.
Compliant
Fortified
Proactive
Answer Safely with RagaAI Catalyst
Our platform provides comprehensive monitoring and guardrails to detect and mitigate harmful biases and unsafe outputs in real-time. Safeguard your AI's integrity and ensure your applications uphold the highest ethical standards.
Compliant
Fortified
Proactive
Answer Safely with RagaAI Catalyst
Our platform provides comprehensive monitoring and guardrails to detect and mitigate harmful biases and unsafe outputs in real-time. Safeguard your AI's integrity and ensure your applications uphold the highest ethical standards.
Compliant
Fortified
Proactive
Answer Safely with RagaAI Catalyst
Our platform provides comprehensive monitoring and guardrails to detect and mitigate harmful biases and unsafe outputs in real-time. Safeguard your AI's integrity and ensure your applications uphold the highest ethical standards.
Compliant
Fortified
Proactive
Answer Safely with RagaAI Catalyst
Our platform provides comprehensive monitoring and guardrails to detect and mitigate harmful biases and unsafe outputs in real-time. Safeguard your AI's integrity and ensure your applications uphold the highest ethical standards.
Compliant
Fortified
Proactive
Answer Safely with RagaAI Catalyst
Our platform provides comprehensive monitoring and guardrails to detect and mitigate harmful biases and unsafe outputs in real-time. Safeguard your AI's integrity and ensure your applications uphold the highest ethical standards.
Compliant
Fortified
Proactive
Answer Safely with RagaAI Catalyst
Our platform provides comprehensive monitoring and guardrails to detect and mitigate harmful biases and unsafe outputs in real-time. Safeguard your AI's integrity and ensure your applications uphold the highest ethical standards.
Compliant
Fortified
Proactive
Answer Safely with RagaAI Catalyst
Our platform provides comprehensive monitoring and guardrails to detect and mitigate harmful biases and unsafe outputs in real-time. Safeguard your AI's integrity and ensure your applications uphold the highest ethical standards.
Compliant
Fortified
Proactive
Answer Safely with RagaAI Catalyst
Our platform provides comprehensive monitoring and guardrails to detect and mitigate harmful biases and unsafe outputs in real-time. Safeguard your AI's integrity and ensure your applications uphold the highest ethical standards.
Compliant
Fortified
Proactive
Answer Safely with RagaAI Catalyst
Our platform provides comprehensive monitoring and guardrails to detect and mitigate harmful biases and unsafe outputs in real-time. Safeguard your AI's integrity and ensure your applications uphold the highest ethical standards.
Compliant
Fortified
Proactive
Answer Safely with RagaAI Catalyst
Our platform provides comprehensive monitoring and guardrails to detect and mitigate harmful biases and unsafe outputs in real-time. Safeguard your AI's integrity and ensure your applications uphold the highest ethical standards.
Compliant
Fortified
Proactive
Answer Safely with RagaAI Catalyst
Our platform provides comprehensive monitoring and guardrails to detect and mitigate harmful biases and unsafe outputs in real-time. Safeguard your AI's integrity and ensure your applications uphold the highest ethical standards.
Compliant
Fortified
Proactive
Cost
Overheads for maintenance, continuous fine-tuning, and massive data requirements commonly overrun projections.
High Compute Costs
Traditional LLM development can be a costly endeavor, burdened by soaring API expenses and limited flexibility. Overheads for maintenance, continuous fine-tuning, and massive data requirements commonly overrun projections.
Inflexible
Opaque
Unpredictable
High Compute Costs
Traditional LLM development can be a costly endeavor, burdened by soaring API expenses and limited flexibility. Overheads for maintenance, continuous fine-tuning, and massive data requirements commonly overrun projections.
Inflexible
Opaque
Unpredictable
High Compute Costs
Traditional LLM development can be a costly endeavor, burdened by soaring API expenses and limited flexibility. Overheads for maintenance, continuous fine-tuning, and massive data requirements commonly overrun projections.
Inflexible
Opaque
Unpredictable
High Compute Costs
Traditional LLM development can be a costly endeavor, burdened by soaring API expenses and limited flexibility. Overheads for maintenance, continuous fine-tuning, and massive data requirements commonly overrun projections.
Inflexible
Opaque
Unpredictable
High Compute Costs
Traditional LLM development can be a costly endeavor, burdened by soaring API expenses and limited flexibility. Overheads for maintenance, continuous fine-tuning, and massive data requirements commonly overrun projections.
Inflexible
Opaque
Unpredictable
High Compute Costs
Traditional LLM development can be a costly endeavor, burdened by soaring API expenses and limited flexibility. Overheads for maintenance, continuous fine-tuning, and massive data requirements commonly overrun projections.
Inflexible
Opaque
Unpredictable
High Compute Costs
Traditional LLM development can be a costly endeavor, burdened by soaring API expenses and limited flexibility. Overheads for maintenance, continuous fine-tuning, and massive data requirements commonly overrun projections.
Inflexible
Opaque
Unpredictable
High Compute Costs
Traditional LLM development can be a costly endeavor, burdened by soaring API expenses and limited flexibility. Overheads for maintenance, continuous fine-tuning, and massive data requirements commonly overrun projections.
Inflexible
Opaque
Unpredictable
High Compute Costs
Traditional LLM development can be a costly endeavor, burdened by soaring API expenses and limited flexibility. Overheads for maintenance, continuous fine-tuning, and massive data requirements commonly overrun projections.
Inflexible
Opaque
Unpredictable
High Compute Costs
Traditional LLM development can be a costly endeavor, burdened by soaring API expenses and limited flexibility. Overheads for maintenance, continuous fine-tuning, and massive data requirements commonly overrun projections.
Inflexible
Opaque
Unpredictable
High Compute Costs
Traditional LLM development can be a costly endeavor, burdened by soaring API expenses and limited flexibility. Overheads for maintenance, continuous fine-tuning, and massive data requirements commonly overrun projections.
Inflexible
Opaque
Unpredictable
High Compute Costs
Traditional LLM development can be a costly endeavor, burdened by soaring API expenses and limited flexibility. Overheads for maintenance, continuous fine-tuning, and massive data requirements commonly overrun projections.
Inflexible
Opaque
Unpredictable
High Compute Costs
Traditional LLM development can be a costly endeavor, burdened by soaring API expenses and limited flexibility. Overheads for maintenance, continuous fine-tuning, and massive data requirements commonly overrun projections.
Inflexible
Opaque
Unpredictable
Answer Cost-Effectively with RagaAI Catalyst
Our platform optimizes costs and boosts efficiency through intelligent routing and caching mechanisms, maximizing the value of your AI investments. Experience unparalleled control and flexibility while aligning with your unique requirements.
Customizable
Intelligent
Observable
Answer Cost-Effectively with RagaAI Catalyst
Our platform optimizes costs and boosts efficiency through intelligent routing and caching mechanisms, maximizing the value of your AI investments. Experience unparalleled control and flexibility while aligning with your unique requirements.
Customizable
Intelligent
Observable
Answer Cost-Effectively with RagaAI Catalyst
Our platform optimizes costs and boosts efficiency through intelligent routing and caching mechanisms, maximizing the value of your AI investments. Experience unparalleled control and flexibility while aligning with your unique requirements.
Customizable
Intelligent
Observable
Answer Cost-Effectively with RagaAI Catalyst
Our platform optimizes costs and boosts efficiency through intelligent routing and caching mechanisms, maximizing the value of your AI investments. Experience unparalleled control and flexibility while aligning with your unique requirements.
Customizable
Intelligent
Observable
Answer Cost-Effectively with RagaAI Catalyst
Our platform optimizes costs and boosts efficiency through intelligent routing and caching mechanisms, maximizing the value of your AI investments. Experience unparalleled control and flexibility while aligning with your unique requirements.
Customizable
Intelligent
Observable
Answer Cost-Effectively with RagaAI Catalyst
Our platform optimizes costs and boosts efficiency through intelligent routing and caching mechanisms, maximizing the value of your AI investments. Experience unparalleled control and flexibility while aligning with your unique requirements.
Customizable
Intelligent
Observable
Answer Cost-Effectively with RagaAI Catalyst
Our platform optimizes costs and boosts efficiency through intelligent routing and caching mechanisms, maximizing the value of your AI investments. Experience unparalleled control and flexibility while aligning with your unique requirements.
Customizable
Intelligent
Observable
Answer Cost-Effectively with RagaAI Catalyst
Our platform optimizes costs and boosts efficiency through intelligent routing and caching mechanisms, maximizing the value of your AI investments. Experience unparalleled control and flexibility while aligning with your unique requirements.
Customizable
Intelligent
Observable
Answer Cost-Effectively with RagaAI Catalyst
Our platform optimizes costs and boosts efficiency through intelligent routing and caching mechanisms, maximizing the value of your AI investments. Experience unparalleled control and flexibility while aligning with your unique requirements.
Customizable
Intelligent
Observable
Answer Cost-Effectively with RagaAI Catalyst
Our platform optimizes costs and boosts efficiency through intelligent routing and caching mechanisms, maximizing the value of your AI investments. Experience unparalleled control and flexibility while aligning with your unique requirements.
Customizable
Intelligent
Observable
Answer Cost-Effectively with RagaAI Catalyst
Our platform optimizes costs and boosts efficiency through intelligent routing and caching mechanisms, maximizing the value of your AI investments. Experience unparalleled control and flexibility while aligning with your unique requirements.
Customizable
Intelligent
Observable
Answer Cost-Effectively with RagaAI Catalyst
Our platform optimizes costs and boosts efficiency through intelligent routing and caching mechanisms, maximizing the value of your AI investments. Experience unparalleled control and flexibility while aligning with your unique requirements.
Customizable
Intelligent
Observable
Answer Cost-Effectively with RagaAI Catalyst
Our platform optimizes costs and boosts efficiency through intelligent routing and caching mechanisms, maximizing the value of your AI investments. Experience unparalleled control and flexibility while aligning with your unique requirements.
Customizable
Intelligent
Observable
Built for The Enterprise
Built for The Enterprise
Built for The Enterprise
Our platform provides comprehensive monitoring and guardrails to detect and mitigate harmful biases and unsafe outputs in real-time. Safeguard your AI's integrity and ensure your applications uphold the highest ethical standards.
Our platform provides comprehensive monitoring and guardrails to detect and mitigate harmful biases and unsafe outputs in real-time. Safeguard your AI's integrity and ensure your applications uphold the highest ethical standards.
Our platform provides comprehensive monitoring and guardrails to detect and mitigate harmful biases and unsafe outputs in real-time. Safeguard your AI's integrity and ensure your applications uphold the highest ethical standards.
Playground
Experiment with LLMs,RAGs and Agentic applications
Evaluate as you prototype
Integrate with 50+ data sources
Evaluation
Realtime evaluation and user feedback
Setup custom monitors
Instant alerts
Gateway
Optimize cost with intelligent routing
Firewall with real time evals and guardrails
Ensure scalability and reliability
Book A Call
Book A Call
Book A Call
RagaAI® Impact
Measure improvements and performance meticulously, enable confident deployments of your AI systems.
Measure improvements and performance meticulously, enable confident deployments of your AI systems.
Measure improvements and performance meticulously, enable confident deployments of your AI systems.
Measure improvements and performance meticulously, enable confident deployments of your AI systems.
Measure improvements and performance meticulously, enable confident deployments of your AI systems.
Measure improvements and performance meticulously, enable confident deployments of your AI systems.
Measure improvements and performance meticulously, enable confident deployments of your AI systems.
Measure improvements and performance meticulously, enable confident deployments of your AI systems.
Measure improvements and performance meticulously, enable confident deployments of your AI systems.
Measure improvements and performance meticulously, enable confident deployments of your AI systems.
Measure improvements and performance meticulously, enable confident deployments of your AI systems.
Measure improvements and performance meticulously, enable confident deployments of your AI systems.
90% Reduction in AI Failures
90% Reduction in AI Failures
90% Reduction in AI Failures
90% Reduction in AI Failures
90% Reduction in AI Failures
Reduce AI risk exposure across cloud or edge deployments.
Reduce AI risk exposure across cloud or edge deployments.
Reduce AI risk exposure across cloud or edge deployments.
Reduce AI risk exposure across cloud or edge deployments.
Reduce AI risk exposure across cloud or edge deployments.
50% Reduction in Cost
50% Reduction in Cost
50% Reduction in Cost
50% Reduction in Cost
50% Reduction in Cost
Optimize MLOps costs with intelligent recommendations.
Optimize MLOps costs with intelligent recommendations.
Optimize MLOps costs with intelligent recommendations.
Optimize MLOps costs with intelligent recommendations.
Optimize MLOps costs with intelligent recommendations.
3X Faster Time to Market
3X Faster Time to Market
3X Faster Time to Market
3X Faster Time to Market
3X Faster Time to Market
Accelerate AI development with comprehensive testing.
Accelerate AI development with comprehensive testing.
Accelerate AI development with comprehensive testing.
Accelerate AI development with comprehensive testing.
Accelerate AI development with comprehensive testing.
The only AI platform with major compliances
What Our Partners Say
“Having worked extensively in AI and LLMs, I recognize the significance of robust LLM evaluation tools. RagaAI Evaluation and Guardrail Suite for LLMs and RAG Applications is a key step forward with its comprehensiveness & open source while enterprise ready offering and emphasis on reliability and bias evaluation. A top choice for AI developers and enterprises."
"Leading the Geometric Media Lab at ASU, I'm constantly exploring new methodologies in Generative AI and LLMs. RagaAI’s open source offering for LLMs and RAG Applications aligns seamlessly with our research and developer goals, offering a robust framework for evaluating complex AI systems. A must-have tool for any serious researcher and open source community." Views are personal & don't represent the organization.
Professor and Director at School of Arts, Media and Engineering, Arizona State University
"In this era of exponential AI advancement, I've witnessed that there is a crucial gap in the testing of AI. RagaAI now fills that gap, utilizing the best practices from software development and testing processes combined with ground breaking innovations to address this issue with AI testing. This transformation sets a gold standard for comprehensive AI testing, ensuring robustness and reliability of AI."
Ankit Bhati
Co-Founder, OLA & Amnic
"Satsure is a pioneer in Earth Observation and geospatial imaging. Issues such as Labelling quality have been a challenging problem in building high quality AI models. RagaAI’s automated suite of tests has enabled us to solve our data and AI models issues and improve our model accuracy significantly."
Divya Sharma
Vice President & Head of Data Science, Satsure
"In my experience, AI failures are more widespread than commonly acknowledged. RagaAI uniquely offers a comprehensive and multimodal testing platform supporting Language Learning Models (LLMs), computer vision, and tabular data—precisely meeting the industry's needs to address these prevalent challenges."
Anand Gopalan
CEO & Co-Founder, Vayu Robotics
"As a company who provides video telematics solution to vehicles at scale, we need to ensure that our AI is working optimally and without issues across the whole spectrum of vehicles. RagaAI has been instrumental in helping us do this. Their wide range of offerings including A/B testing, pipeline testing, etc. at scale along with the committed support is accelerating us as a company to achieve the above goals."
Mithun Uliyar
Co-Founder & Head of Data Science, LightMetrics
“Having worked extensively in AI and LLMs, I recognize the significance of robust LLM evaluation tools. RagaAI Evaluation and Guardrail Suite for LLMs and RAG Applications is a key step forward with its comprehensiveness & open source while enterprise ready offering and emphasis on reliability and bias evaluation. A top choice for AI developers and enterprises."
"Leading the Geometric Media Lab at ASU, I'm constantly exploring new methodologies in Generative AI and LLMs. RagaAI’s open source offering for LLMs and RAG Applications aligns seamlessly with our research and developer goals, offering a robust framework for evaluating complex AI systems. A must-have tool for any serious researcher and open source community." Views are personal & don't represent the organization.
Professor and Director at School of Arts, Media and Engineering, Arizona State University
"In this era of exponential AI advancement, I've witnessed that there is a crucial gap in the testing of AI. RagaAI now fills that gap, utilizing the best practices from software development and testing processes combined with ground breaking innovations to address this issue with AI testing. This transformation sets a gold standard for comprehensive AI testing, ensuring robustness and reliability of AI."
Ankit Bhati
Co-Founder, OLA & Amnic
"Satsure is a pioneer in Earth Observation and geospatial imaging. Issues such as Labelling quality have been a challenging problem in building high quality AI models. RagaAI’s automated suite of tests has enabled us to solve our data and AI models issues and improve our model accuracy significantly."
Divya Sharma
Vice President & Head of Data Science, Satsure
"In my experience, AI failures are more widespread than commonly acknowledged. RagaAI uniquely offers a comprehensive and multimodal testing platform supporting Language Learning Models (LLMs), computer vision, and tabular data—precisely meeting the industry's needs to address these prevalent challenges."
Anand Gopalan
CEO & Co-Founder, Vayu Robotics
"As a company who provides video telematics solution to vehicles at scale, we need to ensure that our AI is working optimally and without issues across the whole spectrum of vehicles. RagaAI has been instrumental in helping us do this. Their wide range of offerings including A/B testing, pipeline testing, etc. at scale along with the committed support is accelerating us as a company to achieve the above goals."
Mithun Uliyar
Co-Founder & Head of Data Science, LightMetrics
“Having worked extensively in AI and LLMs, I recognize the significance of robust LLM evaluation tools. RagaAI Evaluation and Guardrail Suite for LLMs and RAG Applications is a key step forward with its comprehensiveness & open source while enterprise ready offering and emphasis on reliability and bias evaluation. A top choice for AI developers and enterprises."
"Leading the Geometric Media Lab at ASU, I'm constantly exploring new methodologies in Generative AI and LLMs. RagaAI’s open source offering for LLMs and RAG Applications aligns seamlessly with our research and developer goals, offering a robust framework for evaluating complex AI systems. A must-have tool for any serious researcher and open source community." Views are personal & don't represent the organization.
Professor and Director at School of Arts, Media and Engineering, Arizona State University
"In this era of exponential AI advancement, I've witnessed that there is a crucial gap in the testing of AI. RagaAI now fills that gap, utilizing the best practices from software development and testing processes combined with ground breaking innovations to address this issue with AI testing. This transformation sets a gold standard for comprehensive AI testing, ensuring robustness and reliability of AI."
Ankit Bhati
Co-Founder, OLA & Amnic
"Satsure is a pioneer in Earth Observation and geospatial imaging. Issues such as Labelling quality have been a challenging problem in building high quality AI models. RagaAI’s automated suite of tests has enabled us to solve our data and AI models issues and improve our model accuracy significantly."
Divya Sharma
Vice President & Head of Data Science, Satsure
"In my experience, AI failures are more widespread than commonly acknowledged. RagaAI uniquely offers a comprehensive and multimodal testing platform supporting Language Learning Models (LLMs), computer vision, and tabular data—precisely meeting the industry's needs to address these prevalent challenges."
Anand Gopalan
CEO & Co-Founder, Vayu Robotics
"As a company who provides video telematics solution to vehicles at scale, we need to ensure that our AI is working optimally and without issues across the whole spectrum of vehicles. RagaAI has been instrumental in helping us do this. Their wide range of offerings including A/B testing, pipeline testing, etc. at scale along with the committed support is accelerating us as a company to achieve the above goals."
Mithun Uliyar
Co-Founder & Head of Data Science, LightMetrics
“Having worked extensively in AI and LLMs, I recognize the significance of robust LLM evaluation tools. RagaAI Evaluation and Guardrail Suite for LLMs and RAG Applications is a key step forward with its comprehensiveness & open source while enterprise ready offering and emphasis on reliability and bias evaluation. A top choice for AI developers and enterprises."
"Leading the Geometric Media Lab at ASU, I'm constantly exploring new methodologies in Generative AI and LLMs. RagaAI’s open source offering for LLMs and RAG Applications aligns seamlessly with our research and developer goals, offering a robust framework for evaluating complex AI systems. A must-have tool for any serious researcher and open source community." Views are personal & don't represent the organization.
Professor and Director at School of Arts, Media and Engineering, Arizona State University
"In this era of exponential AI advancement, I've witnessed that there is a crucial gap in the testing of AI. RagaAI now fills that gap, utilizing the best practices from software development and testing processes combined with ground breaking innovations to address this issue with AI testing. This transformation sets a gold standard for comprehensive AI testing, ensuring robustness and reliability of AI."
Ankit Bhati
Co-Founder, OLA & Amnic
"Satsure is a pioneer in Earth Observation and geospatial imaging. Issues such as Labelling quality have been a challenging problem in building high quality AI models. RagaAI’s automated suite of tests has enabled us to solve our data and AI models issues and improve our model accuracy significantly."
Divya Sharma
Vice President & Head of Data Science, Satsure
"In my experience, AI failures are more widespread than commonly acknowledged. RagaAI uniquely offers a comprehensive and multimodal testing platform supporting Language Learning Models (LLMs), computer vision, and tabular data—precisely meeting the industry's needs to address these prevalent challenges."
Anand Gopalan
CEO & Co-Founder, Vayu Robotics
"As a company who provides video telematics solution to vehicles at scale, we need to ensure that our AI is working optimally and without issues across the whole spectrum of vehicles. RagaAI has been instrumental in helping us do this. Their wide range of offerings including A/B testing, pipeline testing, etc. at scale along with the committed support is accelerating us as a company to achieve the above goals."
Mithun Uliyar
Co-Founder & Head of Data Science, LightMetrics
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“Having worked extensively in AI and LLMs, I recognize the significance of robust LLM evaluation tools. RagaAI Evaluation and Guardrail Suite for LLMs and RAG Applications is a key step forward with its comprehensiveness & open source while enterprise ready offering and emphasis on reliability and bias evaluation. A top choice for AI developers and enterprises."
"Leading the Geometric Media Lab at ASU, I'm constantly exploring new methodologies in Generative AI and LLMs. RagaAI’s open source offering for LLMs and RAG Applications aligns seamlessly with our research and developer goals, offering a robust framework for evaluating complex AI systems. A must-have tool for any serious researcher and open source community." Views are personal & don't represent the organization.
Professor and Director at School of Arts, Media and Engineering, Arizona State University
"In this era of exponential AI advancement, I've witnessed that there is a crucial gap in the testing of AI. RagaAI now fills that gap, utilizing the best practices from software development and testing processes combined with ground breaking innovations to address this issue with AI testing. This transformation sets a gold standard for comprehensive AI testing, ensuring robustness and reliability of AI."
Ankit Bhati
Co-Founder, OLA & Amnic
"Satsure is a pioneer in Earth Observation and geospatial imaging. Issues such as Labelling quality have been a challenging problem in building high quality AI models. RagaAI’s automated suite of tests has enabled us to solve our data and AI models issues and improve our model accuracy significantly."
Divya Sharma
Vice President & Head of Data Science, Satsure
"In my experience, AI failures are more widespread than commonly acknowledged. RagaAI uniquely offers a comprehensive and multimodal testing platform supporting Language Learning Models (LLMs), computer vision, and tabular data—precisely meeting the industry's needs to address these prevalent challenges."
Anand Gopalan
CEO & Co-Founder, Vayu Robotics
"As a company who provides video telematics solution to vehicles at scale, we need to ensure that our AI is working optimally and without issues across the whole spectrum of vehicles. RagaAI has been instrumental in helping us do this. Their wide range of offerings including A/B testing, pipeline testing, etc. at scale along with the committed support is accelerating us as a company to achieve the above goals."
Mithun Uliyar
Co-Founder & Head of Data Science, LightMetrics
“Having worked extensively in AI and LLMs, I recognize the significance of robust LLM evaluation tools. RagaAI Evaluation and Guardrail Suite for LLMs and RAG Applications is a key step forward with its comprehensiveness & open source while enterprise ready offering and emphasis on reliability and bias evaluation. A top choice for AI developers and enterprises."
"Leading the Geometric Media Lab at ASU, I'm constantly exploring new methodologies in Generative AI and LLMs. RagaAI’s open source offering for LLMs and RAG Applications aligns seamlessly with our research and developer goals, offering a robust framework for evaluating complex AI systems. A must-have tool for any serious researcher and open source community." Views are personal & don't represent the organization.
Professor and Director at School of Arts, Media and Engineering, Arizona State University
"In this era of exponential AI advancement, I've witnessed that there is a crucial gap in the testing of AI. RagaAI now fills that gap, utilizing the best practices from software development and testing processes combined with ground breaking innovations to address this issue with AI testing. This transformation sets a gold standard for comprehensive AI testing, ensuring robustness and reliability of AI."
Ankit Bhati
Co-Founder, OLA & Amnic
"Satsure is a pioneer in Earth Observation and geospatial imaging. Issues such as Labelling quality have been a challenging problem in building high quality AI models. RagaAI’s automated suite of tests has enabled us to solve our data and AI models issues and improve our model accuracy significantly."
Divya Sharma
Vice President & Head of Data Science, Satsure
"In my experience, AI failures are more widespread than commonly acknowledged. RagaAI uniquely offers a comprehensive and multimodal testing platform supporting Language Learning Models (LLMs), computer vision, and tabular data—precisely meeting the industry's needs to address these prevalent challenges."
Anand Gopalan
CEO & Co-Founder, Vayu Robotics
"As a company who provides video telematics solution to vehicles at scale, we need to ensure that our AI is working optimally and without issues across the whole spectrum of vehicles. RagaAI has been instrumental in helping us do this. Their wide range of offerings including A/B testing, pipeline testing, etc. at scale along with the committed support is accelerating us as a company to achieve the above goals."
Mithun Uliyar
Co-Founder & Head of Data Science, LightMetrics
“Having worked extensively in AI and LLMs, I recognize the significance of robust LLM evaluation tools. RagaAI Evaluation and Guardrail Suite for LLMs and RAG Applications is a key step forward with its comprehensiveness & open source while enterprise ready offering and emphasis on reliability and bias evaluation. A top choice for AI developers and enterprises."
"Leading the Geometric Media Lab at ASU, I'm constantly exploring new methodologies in Generative AI and LLMs. RagaAI’s open source offering for LLMs and RAG Applications aligns seamlessly with our research and developer goals, offering a robust framework for evaluating complex AI systems. A must-have tool for any serious researcher and open source community." Views are personal & don't represent the organization.
Professor and Director at School of Arts, Media and Engineering, Arizona State University
"In this era of exponential AI advancement, I've witnessed that there is a crucial gap in the testing of AI. RagaAI now fills that gap, utilizing the best practices from software development and testing processes combined with ground breaking innovations to address this issue with AI testing. This transformation sets a gold standard for comprehensive AI testing, ensuring robustness and reliability of AI."
Ankit Bhati
Co-Founder, OLA & Amnic
"Satsure is a pioneer in Earth Observation and geospatial imaging. Issues such as Labelling quality have been a challenging problem in building high quality AI models. RagaAI’s automated suite of tests has enabled us to solve our data and AI models issues and improve our model accuracy significantly."
Divya Sharma
Vice President & Head of Data Science, Satsure
"In my experience, AI failures are more widespread than commonly acknowledged. RagaAI uniquely offers a comprehensive and multimodal testing platform supporting Language Learning Models (LLMs), computer vision, and tabular data—precisely meeting the industry's needs to address these prevalent challenges."
Anand Gopalan
CEO & Co-Founder, Vayu Robotics
"As a company who provides video telematics solution to vehicles at scale, we need to ensure that our AI is working optimally and without issues across the whole spectrum of vehicles. RagaAI has been instrumental in helping us do this. Their wide range of offerings including A/B testing, pipeline testing, etc. at scale along with the committed support is accelerating us as a company to achieve the above goals."
Mithun Uliyar
Co-Founder & Head of Data Science, LightMetrics
“Having worked extensively in AI and LLMs, I recognize the significance of robust LLM evaluation tools. RagaAI Evaluation and Guardrail Suite for LLMs and RAG Applications is a key step forward with its comprehensiveness & open source while enterprise ready offering and emphasis on reliability and bias evaluation. A top choice for AI developers and enterprises."
"Leading the Geometric Media Lab at ASU, I'm constantly exploring new methodologies in Generative AI and LLMs. RagaAI’s open source offering for LLMs and RAG Applications aligns seamlessly with our research and developer goals, offering a robust framework for evaluating complex AI systems. A must-have tool for any serious researcher and open source community." Views are personal & don't represent the organization.
Professor and Director at School of Arts, Media and Engineering, Arizona State University
"In this era of exponential AI advancement, I've witnessed that there is a crucial gap in the testing of AI. RagaAI now fills that gap, utilizing the best practices from software development and testing processes combined with ground breaking innovations to address this issue with AI testing. This transformation sets a gold standard for comprehensive AI testing, ensuring robustness and reliability of AI."
Ankit Bhati
Co-Founder, OLA & Amnic
"Satsure is a pioneer in Earth Observation and geospatial imaging. Issues such as Labelling quality have been a challenging problem in building high quality AI models. RagaAI’s automated suite of tests has enabled us to solve our data and AI models issues and improve our model accuracy significantly."
Divya Sharma
Vice President & Head of Data Science, Satsure
"In my experience, AI failures are more widespread than commonly acknowledged. RagaAI uniquely offers a comprehensive and multimodal testing platform supporting Language Learning Models (LLMs), computer vision, and tabular data—precisely meeting the industry's needs to address these prevalent challenges."
Anand Gopalan
CEO & Co-Founder, Vayu Robotics
"As a company who provides video telematics solution to vehicles at scale, we need to ensure that our AI is working optimally and without issues across the whole spectrum of vehicles. RagaAI has been instrumental in helping us do this. Their wide range of offerings including A/B testing, pipeline testing, etc. at scale along with the committed support is accelerating us as a company to achieve the above goals."
Mithun Uliyar
Co-Founder & Head of Data Science, LightMetrics
What Our Partners Say
“Having worked extensively in AI and LLMs, I recognize the significance of robust LLM evaluation tools. RagaAI Evaluation and Guardrail Suite for LLMs and RAG Applications is a key step forward with its comprehensiveness & open source while enterprise ready offering and emphasis on reliability and bias evaluation. A top choice for AI developers and enterprises."
"Leading the Geometric Media Lab at ASU, I'm constantly exploring new methodologies in Generative AI and LLMs. RagaAI’s open source offering for LLMs and RAG Applications aligns seamlessly with our research and developer goals, offering a robust framework for evaluating complex AI systems. A must-have tool for any serious researcher and open source community." Views are personal & don't represent the organization.
Professor and Director at School of Arts, Media and Engineering, Arizona State University
"In this era of exponential AI advancement, I've witnessed that there is a crucial gap in the testing of AI. RagaAI now fills that gap, utilizing the best practices from software development and testing processes combined with ground breaking innovations to address this issue with AI testing. This transformation sets a gold standard for comprehensive AI testing, ensuring robustness and reliability of AI."
Ankit Bhati
Co-Founder, OLA & Amnic
"Satsure is a pioneer in Earth Observation and geospatial imaging. Issues such as Labelling quality have been a challenging problem in building high quality AI models. RagaAI’s automated suite of tests has enabled us to solve our data and AI models issues and improve our model accuracy significantly."
Divya Sharma
Vice President & Head of Data Science, Satsure
"In my experience, AI failures are more widespread than commonly acknowledged. RagaAI uniquely offers a comprehensive and multimodal testing platform supporting Language Learning Models (LLMs), computer vision, and tabular data—precisely meeting the industry's needs to address these prevalent challenges."
Anand Gopalan
CEO & Co-Founder, Vayu Robotics
"As a company who provides video telematics solution to vehicles at scale, we need to ensure that our AI is working optimally and without issues across the whole spectrum of vehicles. RagaAI has been instrumental in helping us do this. Their wide range of offerings including A/B testing, pipeline testing, etc. at scale along with the committed support is accelerating us as a company to achieve the above goals."
Mithun Uliyar
Co-Founder & Head of Data Science, LightMetrics
“Having worked extensively in AI and LLMs, I recognize the significance of robust LLM evaluation tools. RagaAI Evaluation and Guardrail Suite for LLMs and RAG Applications is a key step forward with its comprehensiveness & open source while enterprise ready offering and emphasis on reliability and bias evaluation. A top choice for AI developers and enterprises."
"Leading the Geometric Media Lab at ASU, I'm constantly exploring new methodologies in Generative AI and LLMs. RagaAI’s open source offering for LLMs and RAG Applications aligns seamlessly with our research and developer goals, offering a robust framework for evaluating complex AI systems. A must-have tool for any serious researcher and open source community." Views are personal & don't represent the organization.
Professor and Director at School of Arts, Media and Engineering, Arizona State University
"In this era of exponential AI advancement, I've witnessed that there is a crucial gap in the testing of AI. RagaAI now fills that gap, utilizing the best practices from software development and testing processes combined with ground breaking innovations to address this issue with AI testing. This transformation sets a gold standard for comprehensive AI testing, ensuring robustness and reliability of AI."
Ankit Bhati
Co-Founder, OLA & Amnic
"Satsure is a pioneer in Earth Observation and geospatial imaging. Issues such as Labelling quality have been a challenging problem in building high quality AI models. RagaAI’s automated suite of tests has enabled us to solve our data and AI models issues and improve our model accuracy significantly."
Divya Sharma
Vice President & Head of Data Science, Satsure
"In my experience, AI failures are more widespread than commonly acknowledged. RagaAI uniquely offers a comprehensive and multimodal testing platform supporting Language Learning Models (LLMs), computer vision, and tabular data—precisely meeting the industry's needs to address these prevalent challenges."
Anand Gopalan
CEO & Co-Founder, Vayu Robotics
"As a company who provides video telematics solution to vehicles at scale, we need to ensure that our AI is working optimally and without issues across the whole spectrum of vehicles. RagaAI has been instrumental in helping us do this. Their wide range of offerings including A/B testing, pipeline testing, etc. at scale along with the committed support is accelerating us as a company to achieve the above goals."
Mithun Uliyar
Co-Founder & Head of Data Science, LightMetrics
“Having worked extensively in AI and LLMs, I recognize the significance of robust LLM evaluation tools. RagaAI Evaluation and Guardrail Suite for LLMs and RAG Applications is a key step forward with its comprehensiveness & open source while enterprise ready offering and emphasis on reliability and bias evaluation. A top choice for AI developers and enterprises."
"Leading the Geometric Media Lab at ASU, I'm constantly exploring new methodologies in Generative AI and LLMs. RagaAI’s open source offering for LLMs and RAG Applications aligns seamlessly with our research and developer goals, offering a robust framework for evaluating complex AI systems. A must-have tool for any serious researcher and open source community." Views are personal & don't represent the organization.
Professor and Director at School of Arts, Media and Engineering, Arizona State University
"In this era of exponential AI advancement, I've witnessed that there is a crucial gap in the testing of AI. RagaAI now fills that gap, utilizing the best practices from software development and testing processes combined with ground breaking innovations to address this issue with AI testing. This transformation sets a gold standard for comprehensive AI testing, ensuring robustness and reliability of AI."
Ankit Bhati
Co-Founder, OLA & Amnic
"Satsure is a pioneer in Earth Observation and geospatial imaging. Issues such as Labelling quality have been a challenging problem in building high quality AI models. RagaAI’s automated suite of tests has enabled us to solve our data and AI models issues and improve our model accuracy significantly."
Divya Sharma
Vice President & Head of Data Science, Satsure
"In my experience, AI failures are more widespread than commonly acknowledged. RagaAI uniquely offers a comprehensive and multimodal testing platform supporting Language Learning Models (LLMs), computer vision, and tabular data—precisely meeting the industry's needs to address these prevalent challenges."
Anand Gopalan
CEO & Co-Founder, Vayu Robotics
"As a company who provides video telematics solution to vehicles at scale, we need to ensure that our AI is working optimally and without issues across the whole spectrum of vehicles. RagaAI has been instrumental in helping us do this. Their wide range of offerings including A/B testing, pipeline testing, etc. at scale along with the committed support is accelerating us as a company to achieve the above goals."
Mithun Uliyar
Co-Founder & Head of Data Science, LightMetrics
“Having worked extensively in AI and LLMs, I recognize the significance of robust LLM evaluation tools. RagaAI Evaluation and Guardrail Suite for LLMs and RAG Applications is a key step forward with its comprehensiveness & open source while enterprise ready offering and emphasis on reliability and bias evaluation. A top choice for AI developers and enterprises."
"Leading the Geometric Media Lab at ASU, I'm constantly exploring new methodologies in Generative AI and LLMs. RagaAI’s open source offering for LLMs and RAG Applications aligns seamlessly with our research and developer goals, offering a robust framework for evaluating complex AI systems. A must-have tool for any serious researcher and open source community." Views are personal & don't represent the organization.
Professor and Director at School of Arts, Media and Engineering, Arizona State University
"In this era of exponential AI advancement, I've witnessed that there is a crucial gap in the testing of AI. RagaAI now fills that gap, utilizing the best practices from software development and testing processes combined with ground breaking innovations to address this issue with AI testing. This transformation sets a gold standard for comprehensive AI testing, ensuring robustness and reliability of AI."
Ankit Bhati
Co-Founder, OLA & Amnic
"Satsure is a pioneer in Earth Observation and geospatial imaging. Issues such as Labelling quality have been a challenging problem in building high quality AI models. RagaAI’s automated suite of tests has enabled us to solve our data and AI models issues and improve our model accuracy significantly."
Divya Sharma
Vice President & Head of Data Science, Satsure
"In my experience, AI failures are more widespread than commonly acknowledged. RagaAI uniquely offers a comprehensive and multimodal testing platform supporting Language Learning Models (LLMs), computer vision, and tabular data—precisely meeting the industry's needs to address these prevalent challenges."
Anand Gopalan
CEO & Co-Founder, Vayu Robotics
"As a company who provides video telematics solution to vehicles at scale, we need to ensure that our AI is working optimally and without issues across the whole spectrum of vehicles. RagaAI has been instrumental in helping us do this. Their wide range of offerings including A/B testing, pipeline testing, etc. at scale along with the committed support is accelerating us as a company to achieve the above goals."
Mithun Uliyar
Co-Founder & Head of Data Science, LightMetrics
What Our Partners Say
“Having worked extensively in AI and LLMs, I recognize the significance of robust LLM evaluation tools. RagaAI Evaluation and Guardrail Suite for LLMs and RAG Applications is a key step forward with its comprehensiveness & open source while enterprise ready offering and emphasis on reliability and bias evaluation. A top choice for AI developers and enterprises."
"Leading the Geometric Media Lab at ASU, I'm constantly exploring new methodologies in Generative AI and LLMs. RagaAI’s open source offering for LLMs and RAG Applications aligns seamlessly with our research and developer goals, offering a robust framework for evaluating complex AI systems. A must-have tool for any serious researcher and open source community." Views are personal & don't represent the organization.
Professor and Director at School of Arts, Media and Engineering, Arizona State University
"In this era of exponential AI advancement, I've witnessed that there is a crucial gap in the testing of AI. RagaAI now fills that gap, utilizing the best practices from software development and testing processes combined with ground breaking innovations to address this issue with AI testing. This transformation sets a gold standard for comprehensive AI testing, ensuring robustness and reliability of AI."
Ankit Bhati
Co-Founder, OLA & Amnic
"Satsure is a pioneer in Earth Observation and geospatial imaging. Issues such as Labelling quality have been a challenging problem in building high quality AI models. RagaAI’s automated suite of tests has enabled us to solve our data and AI models issues and improve our model accuracy significantly."
Divya Sharma
Vice President & Head of Data Science, Satsure
"In my experience, AI failures are more widespread than commonly acknowledged. RagaAI uniquely offers a comprehensive and multimodal testing platform supporting Language Learning Models (LLMs), computer vision, and tabular data—precisely meeting the industry's needs to address these prevalent challenges."
Anand Gopalan
CEO & Co-Founder, Vayu Robotics
"As a company who provides video telematics solution to vehicles at scale, we need to ensure that our AI is working optimally and without issues across the whole spectrum of vehicles. RagaAI has been instrumental in helping us do this. Their wide range of offerings including A/B testing, pipeline testing, etc. at scale along with the committed support is accelerating us as a company to achieve the above goals."
Mithun Uliyar
Co-Founder & Head of Data Science, LightMetrics
“Having worked extensively in AI and LLMs, I recognize the significance of robust LLM evaluation tools. RagaAI Evaluation and Guardrail Suite for LLMs and RAG Applications is a key step forward with its comprehensiveness & open source while enterprise ready offering and emphasis on reliability and bias evaluation. A top choice for AI developers and enterprises."
"Leading the Geometric Media Lab at ASU, I'm constantly exploring new methodologies in Generative AI and LLMs. RagaAI’s open source offering for LLMs and RAG Applications aligns seamlessly with our research and developer goals, offering a robust framework for evaluating complex AI systems. A must-have tool for any serious researcher and open source community." Views are personal & don't represent the organization.
Professor and Director at School of Arts, Media and Engineering, Arizona State University
"In this era of exponential AI advancement, I've witnessed that there is a crucial gap in the testing of AI. RagaAI now fills that gap, utilizing the best practices from software development and testing processes combined with ground breaking innovations to address this issue with AI testing. This transformation sets a gold standard for comprehensive AI testing, ensuring robustness and reliability of AI."
Ankit Bhati
Co-Founder, OLA & Amnic
"Satsure is a pioneer in Earth Observation and geospatial imaging. Issues such as Labelling quality have been a challenging problem in building high quality AI models. RagaAI’s automated suite of tests has enabled us to solve our data and AI models issues and improve our model accuracy significantly."
Divya Sharma
Vice President & Head of Data Science, Satsure
"In my experience, AI failures are more widespread than commonly acknowledged. RagaAI uniquely offers a comprehensive and multimodal testing platform supporting Language Learning Models (LLMs), computer vision, and tabular data—precisely meeting the industry's needs to address these prevalent challenges."
Anand Gopalan
CEO & Co-Founder, Vayu Robotics
"As a company who provides video telematics solution to vehicles at scale, we need to ensure that our AI is working optimally and without issues across the whole spectrum of vehicles. RagaAI has been instrumental in helping us do this. Their wide range of offerings including A/B testing, pipeline testing, etc. at scale along with the committed support is accelerating us as a company to achieve the above goals."
Mithun Uliyar
Co-Founder & Head of Data Science, LightMetrics
“Having worked extensively in AI and LLMs, I recognize the significance of robust LLM evaluation tools. RagaAI Evaluation and Guardrail Suite for LLMs and RAG Applications is a key step forward with its comprehensiveness & open source while enterprise ready offering and emphasis on reliability and bias evaluation. A top choice for AI developers and enterprises."
"Leading the Geometric Media Lab at ASU, I'm constantly exploring new methodologies in Generative AI and LLMs. RagaAI’s open source offering for LLMs and RAG Applications aligns seamlessly with our research and developer goals, offering a robust framework for evaluating complex AI systems. A must-have tool for any serious researcher and open source community." Views are personal & don't represent the organization.
Professor and Director at School of Arts, Media and Engineering, Arizona State University
"In this era of exponential AI advancement, I've witnessed that there is a crucial gap in the testing of AI. RagaAI now fills that gap, utilizing the best practices from software development and testing processes combined with ground breaking innovations to address this issue with AI testing. This transformation sets a gold standard for comprehensive AI testing, ensuring robustness and reliability of AI."
Ankit Bhati
Co-Founder, OLA & Amnic
"Satsure is a pioneer in Earth Observation and geospatial imaging. Issues such as Labelling quality have been a challenging problem in building high quality AI models. RagaAI’s automated suite of tests has enabled us to solve our data and AI models issues and improve our model accuracy significantly."
Divya Sharma
Vice President & Head of Data Science, Satsure
"In my experience, AI failures are more widespread than commonly acknowledged. RagaAI uniquely offers a comprehensive and multimodal testing platform supporting Language Learning Models (LLMs), computer vision, and tabular data—precisely meeting the industry's needs to address these prevalent challenges."
Anand Gopalan
CEO & Co-Founder, Vayu Robotics
"As a company who provides video telematics solution to vehicles at scale, we need to ensure that our AI is working optimally and without issues across the whole spectrum of vehicles. RagaAI has been instrumental in helping us do this. Their wide range of offerings including A/B testing, pipeline testing, etc. at scale along with the committed support is accelerating us as a company to achieve the above goals."
Mithun Uliyar
Co-Founder & Head of Data Science, LightMetrics
“Having worked extensively in AI and LLMs, I recognize the significance of robust LLM evaluation tools. RagaAI Evaluation and Guardrail Suite for LLMs and RAG Applications is a key step forward with its comprehensiveness & open source while enterprise ready offering and emphasis on reliability and bias evaluation. A top choice for AI developers and enterprises."
"Leading the Geometric Media Lab at ASU, I'm constantly exploring new methodologies in Generative AI and LLMs. RagaAI’s open source offering for LLMs and RAG Applications aligns seamlessly with our research and developer goals, offering a robust framework for evaluating complex AI systems. A must-have tool for any serious researcher and open source community." Views are personal & don't represent the organization.
Professor and Director at School of Arts, Media and Engineering, Arizona State University
"In this era of exponential AI advancement, I've witnessed that there is a crucial gap in the testing of AI. RagaAI now fills that gap, utilizing the best practices from software development and testing processes combined with ground breaking innovations to address this issue with AI testing. This transformation sets a gold standard for comprehensive AI testing, ensuring robustness and reliability of AI."
Ankit Bhati
Co-Founder, OLA & Amnic
"Satsure is a pioneer in Earth Observation and geospatial imaging. Issues such as Labelling quality have been a challenging problem in building high quality AI models. RagaAI’s automated suite of tests has enabled us to solve our data and AI models issues and improve our model accuracy significantly."
Divya Sharma
Vice President & Head of Data Science, Satsure
"In my experience, AI failures are more widespread than commonly acknowledged. RagaAI uniquely offers a comprehensive and multimodal testing platform supporting Language Learning Models (LLMs), computer vision, and tabular data—precisely meeting the industry's needs to address these prevalent challenges."
Anand Gopalan
CEO & Co-Founder, Vayu Robotics
"As a company who provides video telematics solution to vehicles at scale, we need to ensure that our AI is working optimally and without issues across the whole spectrum of vehicles. RagaAI has been instrumental in helping us do this. Their wide range of offerings including A/B testing, pipeline testing, etc. at scale along with the committed support is accelerating us as a company to achieve the above goals."
Mithun Uliyar
Co-Founder & Head of Data Science, LightMetrics
What Our Partners Say
“Having worked extensively in AI and LLMs, I recognize the significance of robust LLM evaluation tools. RagaAI Evaluation and Guardrail Suite for LLMs and RAG Applications is a key step forward with its comprehensiveness & open source while enterprise ready offering and emphasis on reliability and bias evaluation. A top choice for AI developers and enterprises."
"Leading the Geometric Media Lab at ASU, I'm constantly exploring new methodologies in Generative AI and LLMs. RagaAI’s open source offering for LLMs and RAG Applications aligns seamlessly with our research and developer goals, offering a robust framework for evaluating complex AI systems. A must-have tool for any serious researcher and open source community." Views are personal & don't represent the organization.
Professor and Director at School of Arts, Media and Engineering, Arizona State University
"In this era of exponential AI advancement, I've witnessed that there is a crucial gap in the testing of AI. RagaAI now fills that gap, utilizing the best practices from software development and testing processes combined with ground breaking innovations to address this issue with AI testing. This transformation sets a gold standard for comprehensive AI testing, ensuring robustness and reliability of AI."
Ankit Bhati
Co-Founder, OLA & Amnic
"Satsure is a pioneer in Earth Observation and geospatial imaging. Issues such as Labelling quality have been a challenging problem in building high quality AI models. RagaAI’s automated suite of tests has enabled us to solve our data and AI models issues and improve our model accuracy significantly."
Divya Sharma
Vice President & Head of Data Science, Satsure
"In my experience, AI failures are more widespread than commonly acknowledged. RagaAI uniquely offers a comprehensive and multimodal testing platform supporting Language Learning Models (LLMs), computer vision, and tabular data—precisely meeting the industry's needs to address these prevalent challenges."
Anand Gopalan
CEO & Co-Founder, Vayu Robotics
"As a company who provides video telematics solution to vehicles at scale, we need to ensure that our AI is working optimally and without issues across the whole spectrum of vehicles. RagaAI has been instrumental in helping us do this. Their wide range of offerings including A/B testing, pipeline testing, etc. at scale along with the committed support is accelerating us as a company to achieve the above goals."
Mithun Uliyar
Co-Founder & Head of Data Science, LightMetrics
“Having worked extensively in AI and LLMs, I recognize the significance of robust LLM evaluation tools. RagaAI Evaluation and Guardrail Suite for LLMs and RAG Applications is a key step forward with its comprehensiveness & open source while enterprise ready offering and emphasis on reliability and bias evaluation. A top choice for AI developers and enterprises."
"Leading the Geometric Media Lab at ASU, I'm constantly exploring new methodologies in Generative AI and LLMs. RagaAI’s open source offering for LLMs and RAG Applications aligns seamlessly with our research and developer goals, offering a robust framework for evaluating complex AI systems. A must-have tool for any serious researcher and open source community." Views are personal & don't represent the organization.
Professor and Director at School of Arts, Media and Engineering, Arizona State University
"In this era of exponential AI advancement, I've witnessed that there is a crucial gap in the testing of AI. RagaAI now fills that gap, utilizing the best practices from software development and testing processes combined with ground breaking innovations to address this issue with AI testing. This transformation sets a gold standard for comprehensive AI testing, ensuring robustness and reliability of AI."
Ankit Bhati
Co-Founder, OLA & Amnic
"Satsure is a pioneer in Earth Observation and geospatial imaging. Issues such as Labelling quality have been a challenging problem in building high quality AI models. RagaAI’s automated suite of tests has enabled us to solve our data and AI models issues and improve our model accuracy significantly."
Divya Sharma
Vice President & Head of Data Science, Satsure
"In my experience, AI failures are more widespread than commonly acknowledged. RagaAI uniquely offers a comprehensive and multimodal testing platform supporting Language Learning Models (LLMs), computer vision, and tabular data—precisely meeting the industry's needs to address these prevalent challenges."
Anand Gopalan
CEO & Co-Founder, Vayu Robotics
"As a company who provides video telematics solution to vehicles at scale, we need to ensure that our AI is working optimally and without issues across the whole spectrum of vehicles. RagaAI has been instrumental in helping us do this. Their wide range of offerings including A/B testing, pipeline testing, etc. at scale along with the committed support is accelerating us as a company to achieve the above goals."
Mithun Uliyar
Co-Founder & Head of Data Science, LightMetrics
“Having worked extensively in AI and LLMs, I recognize the significance of robust LLM evaluation tools. RagaAI Evaluation and Guardrail Suite for LLMs and RAG Applications is a key step forward with its comprehensiveness & open source while enterprise ready offering and emphasis on reliability and bias evaluation. A top choice for AI developers and enterprises."
"Leading the Geometric Media Lab at ASU, I'm constantly exploring new methodologies in Generative AI and LLMs. RagaAI’s open source offering for LLMs and RAG Applications aligns seamlessly with our research and developer goals, offering a robust framework for evaluating complex AI systems. A must-have tool for any serious researcher and open source community." Views are personal & don't represent the organization.
Professor and Director at School of Arts, Media and Engineering, Arizona State University
"In this era of exponential AI advancement, I've witnessed that there is a crucial gap in the testing of AI. RagaAI now fills that gap, utilizing the best practices from software development and testing processes combined with ground breaking innovations to address this issue with AI testing. This transformation sets a gold standard for comprehensive AI testing, ensuring robustness and reliability of AI."
Ankit Bhati
Co-Founder, OLA & Amnic
"Satsure is a pioneer in Earth Observation and geospatial imaging. Issues such as Labelling quality have been a challenging problem in building high quality AI models. RagaAI’s automated suite of tests has enabled us to solve our data and AI models issues and improve our model accuracy significantly."
Divya Sharma
Vice President & Head of Data Science, Satsure
"In my experience, AI failures are more widespread than commonly acknowledged. RagaAI uniquely offers a comprehensive and multimodal testing platform supporting Language Learning Models (LLMs), computer vision, and tabular data—precisely meeting the industry's needs to address these prevalent challenges."
Anand Gopalan
CEO & Co-Founder, Vayu Robotics
"As a company who provides video telematics solution to vehicles at scale, we need to ensure that our AI is working optimally and without issues across the whole spectrum of vehicles. RagaAI has been instrumental in helping us do this. Their wide range of offerings including A/B testing, pipeline testing, etc. at scale along with the committed support is accelerating us as a company to achieve the above goals."
Mithun Uliyar
Co-Founder & Head of Data Science, LightMetrics
“Having worked extensively in AI and LLMs, I recognize the significance of robust LLM evaluation tools. RagaAI Evaluation and Guardrail Suite for LLMs and RAG Applications is a key step forward with its comprehensiveness & open source while enterprise ready offering and emphasis on reliability and bias evaluation. A top choice for AI developers and enterprises."
"Leading the Geometric Media Lab at ASU, I'm constantly exploring new methodologies in Generative AI and LLMs. RagaAI’s open source offering for LLMs and RAG Applications aligns seamlessly with our research and developer goals, offering a robust framework for evaluating complex AI systems. A must-have tool for any serious researcher and open source community." Views are personal & don't represent the organization.
Professor and Director at School of Arts, Media and Engineering, Arizona State University
"In this era of exponential AI advancement, I've witnessed that there is a crucial gap in the testing of AI. RagaAI now fills that gap, utilizing the best practices from software development and testing processes combined with ground breaking innovations to address this issue with AI testing. This transformation sets a gold standard for comprehensive AI testing, ensuring robustness and reliability of AI."
Ankit Bhati
Co-Founder, OLA & Amnic
"Satsure is a pioneer in Earth Observation and geospatial imaging. Issues such as Labelling quality have been a challenging problem in building high quality AI models. RagaAI’s automated suite of tests has enabled us to solve our data and AI models issues and improve our model accuracy significantly."
Divya Sharma
Vice President & Head of Data Science, Satsure
"In my experience, AI failures are more widespread than commonly acknowledged. RagaAI uniquely offers a comprehensive and multimodal testing platform supporting Language Learning Models (LLMs), computer vision, and tabular data—precisely meeting the industry's needs to address these prevalent challenges."
Anand Gopalan
CEO & Co-Founder, Vayu Robotics
"As a company who provides video telematics solution to vehicles at scale, we need to ensure that our AI is working optimally and without issues across the whole spectrum of vehicles. RagaAI has been instrumental in helping us do this. Their wide range of offerings including A/B testing, pipeline testing, etc. at scale along with the committed support is accelerating us as a company to achieve the above goals."
Mithun Uliyar
Co-Founder & Head of Data Science, LightMetrics
What Our Partners Say
“Having worked extensively in AI and LLMs, I recognize the significance of robust LLM evaluation tools. RagaAI Evaluation and Guardrail Suite for LLMs and RAG Applications is a key step forward with its comprehensiveness & open source while enterprise ready offering and emphasis on reliability and bias evaluation. A top choice for AI developers and enterprises."
"Leading the Geometric Media Lab at ASU, I'm constantly exploring new methodologies in Generative AI and LLMs. RagaAI’s open source offering for LLMs and RAG Applications aligns seamlessly with our research and developer goals, offering a robust framework for evaluating complex AI systems. A must-have tool for any serious researcher and open source community." Views are personal & don't represent the organization.
Professor and Director at School of Arts, Media and Engineering, Arizona State University
"In this era of exponential AI advancement, I've witnessed that there is a crucial gap in the testing of AI. RagaAI now fills that gap, utilizing the best practices from software development and testing processes combined with ground breaking innovations to address this issue with AI testing. This transformation sets a gold standard for comprehensive AI testing, ensuring robustness and reliability of AI."
Ankit Bhati
Co-Founder, OLA & Amnic
"Satsure is a pioneer in Earth Observation and geospatial imaging. Issues such as Labelling quality have been a challenging problem in building high quality AI models. RagaAI’s automated suite of tests has enabled us to solve our data and AI models issues and improve our model accuracy significantly."
Divya Sharma
Vice President & Head of Data Science, Satsure
"In my experience, AI failures are more widespread than commonly acknowledged. RagaAI uniquely offers a comprehensive and multimodal testing platform supporting Language Learning Models (LLMs), computer vision, and tabular data—precisely meeting the industry's needs to address these prevalent challenges."
Anand Gopalan
CEO & Co-Founder, Vayu Robotics
"As a company who provides video telematics solution to vehicles at scale, we need to ensure that our AI is working optimally and without issues across the whole spectrum of vehicles. RagaAI has been instrumental in helping us do this. Their wide range of offerings including A/B testing, pipeline testing, etc. at scale along with the committed support is accelerating us as a company to achieve the above goals."
Mithun Uliyar
Co-Founder & Head of Data Science, LightMetrics
“Having worked extensively in AI and LLMs, I recognize the significance of robust LLM evaluation tools. RagaAI Evaluation and Guardrail Suite for LLMs and RAG Applications is a key step forward with its comprehensiveness & open source while enterprise ready offering and emphasis on reliability and bias evaluation. A top choice for AI developers and enterprises."
"Leading the Geometric Media Lab at ASU, I'm constantly exploring new methodologies in Generative AI and LLMs. RagaAI’s open source offering for LLMs and RAG Applications aligns seamlessly with our research and developer goals, offering a robust framework for evaluating complex AI systems. A must-have tool for any serious researcher and open source community." Views are personal & don't represent the organization.
Professor and Director at School of Arts, Media and Engineering, Arizona State University
"In this era of exponential AI advancement, I've witnessed that there is a crucial gap in the testing of AI. RagaAI now fills that gap, utilizing the best practices from software development and testing processes combined with ground breaking innovations to address this issue with AI testing. This transformation sets a gold standard for comprehensive AI testing, ensuring robustness and reliability of AI."
Ankit Bhati
Co-Founder, OLA & Amnic
"Satsure is a pioneer in Earth Observation and geospatial imaging. Issues such as Labelling quality have been a challenging problem in building high quality AI models. RagaAI’s automated suite of tests has enabled us to solve our data and AI models issues and improve our model accuracy significantly."
Divya Sharma
Vice President & Head of Data Science, Satsure
"In my experience, AI failures are more widespread than commonly acknowledged. RagaAI uniquely offers a comprehensive and multimodal testing platform supporting Language Learning Models (LLMs), computer vision, and tabular data—precisely meeting the industry's needs to address these prevalent challenges."
Anand Gopalan
CEO & Co-Founder, Vayu Robotics
"As a company who provides video telematics solution to vehicles at scale, we need to ensure that our AI is working optimally and without issues across the whole spectrum of vehicles. RagaAI has been instrumental in helping us do this. Their wide range of offerings including A/B testing, pipeline testing, etc. at scale along with the committed support is accelerating us as a company to achieve the above goals."
Mithun Uliyar
Co-Founder & Head of Data Science, LightMetrics
“Having worked extensively in AI and LLMs, I recognize the significance of robust LLM evaluation tools. RagaAI Evaluation and Guardrail Suite for LLMs and RAG Applications is a key step forward with its comprehensiveness & open source while enterprise ready offering and emphasis on reliability and bias evaluation. A top choice for AI developers and enterprises."
"Leading the Geometric Media Lab at ASU, I'm constantly exploring new methodologies in Generative AI and LLMs. RagaAI’s open source offering for LLMs and RAG Applications aligns seamlessly with our research and developer goals, offering a robust framework for evaluating complex AI systems. A must-have tool for any serious researcher and open source community." Views are personal & don't represent the organization.
Professor and Director at School of Arts, Media and Engineering, Arizona State University
"In this era of exponential AI advancement, I've witnessed that there is a crucial gap in the testing of AI. RagaAI now fills that gap, utilizing the best practices from software development and testing processes combined with ground breaking innovations to address this issue with AI testing. This transformation sets a gold standard for comprehensive AI testing, ensuring robustness and reliability of AI."
Ankit Bhati
Co-Founder, OLA & Amnic
"Satsure is a pioneer in Earth Observation and geospatial imaging. Issues such as Labelling quality have been a challenging problem in building high quality AI models. RagaAI’s automated suite of tests has enabled us to solve our data and AI models issues and improve our model accuracy significantly."
Divya Sharma
Vice President & Head of Data Science, Satsure
"In my experience, AI failures are more widespread than commonly acknowledged. RagaAI uniquely offers a comprehensive and multimodal testing platform supporting Language Learning Models (LLMs), computer vision, and tabular data—precisely meeting the industry's needs to address these prevalent challenges."
Anand Gopalan
CEO & Co-Founder, Vayu Robotics
"As a company who provides video telematics solution to vehicles at scale, we need to ensure that our AI is working optimally and without issues across the whole spectrum of vehicles. RagaAI has been instrumental in helping us do this. Their wide range of offerings including A/B testing, pipeline testing, etc. at scale along with the committed support is accelerating us as a company to achieve the above goals."
Mithun Uliyar
Co-Founder & Head of Data Science, LightMetrics
“Having worked extensively in AI and LLMs, I recognize the significance of robust LLM evaluation tools. RagaAI Evaluation and Guardrail Suite for LLMs and RAG Applications is a key step forward with its comprehensiveness & open source while enterprise ready offering and emphasis on reliability and bias evaluation. A top choice for AI developers and enterprises."
"Leading the Geometric Media Lab at ASU, I'm constantly exploring new methodologies in Generative AI and LLMs. RagaAI’s open source offering for LLMs and RAG Applications aligns seamlessly with our research and developer goals, offering a robust framework for evaluating complex AI systems. A must-have tool for any serious researcher and open source community." Views are personal & don't represent the organization.
Professor and Director at School of Arts, Media and Engineering, Arizona State University
"In this era of exponential AI advancement, I've witnessed that there is a crucial gap in the testing of AI. RagaAI now fills that gap, utilizing the best practices from software development and testing processes combined with ground breaking innovations to address this issue with AI testing. This transformation sets a gold standard for comprehensive AI testing, ensuring robustness and reliability of AI."
Ankit Bhati
Co-Founder, OLA & Amnic
"Satsure is a pioneer in Earth Observation and geospatial imaging. Issues such as Labelling quality have been a challenging problem in building high quality AI models. RagaAI’s automated suite of tests has enabled us to solve our data and AI models issues and improve our model accuracy significantly."
Divya Sharma
Vice President & Head of Data Science, Satsure
"In my experience, AI failures are more widespread than commonly acknowledged. RagaAI uniquely offers a comprehensive and multimodal testing platform supporting Language Learning Models (LLMs), computer vision, and tabular data—precisely meeting the industry's needs to address these prevalent challenges."
Anand Gopalan
CEO & Co-Founder, Vayu Robotics
"As a company who provides video telematics solution to vehicles at scale, we need to ensure that our AI is working optimally and without issues across the whole spectrum of vehicles. RagaAI has been instrumental in helping us do this. Their wide range of offerings including A/B testing, pipeline testing, etc. at scale along with the committed support is accelerating us as a company to achieve the above goals."
Mithun Uliyar
Co-Founder & Head of Data Science, LightMetrics
What Our Partners Say
“Having worked extensively in AI and LLMs, I recognize the significance of robust LLM evaluation tools. RagaAI Evaluation and Guardrail Suite for LLMs and RAG Applications is a key step forward with its comprehensiveness & open source while enterprise ready offering and emphasis on reliability and bias evaluation. A top choice for AI developers and enterprises."
"Leading the Geometric Media Lab at ASU, I'm constantly exploring new methodologies in Generative AI and LLMs. RagaAI’s open source offering for LLMs and RAG Applications aligns seamlessly with our research and developer goals, offering a robust framework for evaluating complex AI systems. A must-have tool for any serious researcher and open source community." Views are personal & don't represent the organization.
Professor and Director at School of Arts, Media and Engineering, Arizona State University
“Having worked extensively in AI and LLMs, I recognize the significance of robust LLM evaluation tools. RagaAI Evaluation and Guardrail Suite for LLMs and RAG Applications is a key step forward with its comprehensiveness & open source while enterprise ready offering and emphasis on reliability and bias evaluation. A top choice for AI developers and enterprises."
"Leading the Geometric Media Lab at ASU, I'm constantly exploring new methodologies in Generative AI and LLMs. RagaAI’s open source offering for LLMs and RAG Applications aligns seamlessly with our research and developer goals, offering a robust framework for evaluating complex AI systems. A must-have tool for any serious researcher and open source community." Views are personal & don't represent the organization.
Professor and Director at School of Arts, Media and Engineering, Arizona State University
“Having worked extensively in AI and LLMs, I recognize the significance of robust LLM evaluation tools. RagaAI Evaluation and Guardrail Suite for LLMs and RAG Applications is a key step forward with its comprehensiveness & open source while enterprise ready offering and emphasis on reliability and bias evaluation. A top choice for AI developers and enterprises."
"Leading the Geometric Media Lab at ASU, I'm constantly exploring new methodologies in Generative AI and LLMs. RagaAI’s open source offering for LLMs and RAG Applications aligns seamlessly with our research and developer goals, offering a robust framework for evaluating complex AI systems. A must-have tool for any serious researcher and open source community." Views are personal & don't represent the organization.
Professor and Director at School of Arts, Media and Engineering, Arizona State University
“Having worked extensively in AI and LLMs, I recognize the significance of robust LLM evaluation tools. RagaAI Evaluation and Guardrail Suite for LLMs and RAG Applications is a key step forward with its comprehensiveness & open source while enterprise ready offering and emphasis on reliability and bias evaluation. A top choice for AI developers and enterprises."
"Leading the Geometric Media Lab at ASU, I'm constantly exploring new methodologies in Generative AI and LLMs. RagaAI’s open source offering for LLMs and RAG Applications aligns seamlessly with our research and developer goals, offering a robust framework for evaluating complex AI systems. A must-have tool for any serious researcher and open source community." Views are personal & don't represent the organization.
Professor and Director at School of Arts, Media and Engineering, Arizona State University
“Having worked extensively in AI and LLMs, I recognize the significance of robust LLM evaluation tools. RagaAI Evaluation and Guardrail Suite for LLMs and RAG Applications is a key step forward with its comprehensiveness & open source while enterprise ready offering and emphasis on reliability and bias evaluation. A top choice for AI developers and enterprises."
"Leading the Geometric Media Lab at ASU, I'm constantly exploring new methodologies in Generative AI and LLMs. RagaAI’s open source offering for LLMs and RAG Applications aligns seamlessly with our research and developer goals, offering a robust framework for evaluating complex AI systems. A must-have tool for any serious researcher and open source community." Views are personal & don't represent the organization.
Professor and Director at School of Arts, Media and Engineering, Arizona State University
"In this era of exponential AI advancement, I've witnessed that there is a crucial gap in the testing of AI. RagaAI now fills that gap, utilizing the best practices from software development and testing processes combined with ground breaking innovations to address this issue with AI testing. This transformation sets a gold standard for comprehensive AI testing, ensuring robustness and reliability of AI."
Ankit Bhati
Co-Founder, OLA & Amnic
"Satsure is a pioneer in Earth Observation and geospatial imaging. Issues such as Labelling quality have been a challenging problem in building high quality AI models. RagaAI’s automated suite of tests has enabled us to solve our data and AI models issues and improve our model accuracy significantly."
Divya Sharma
Vice President & Head of Data Science, Satsure
"In my experience, AI failures are more widespread than commonly acknowledged. RagaAI uniquely offers a comprehensive and multimodal testing platform supporting Language Learning Models (LLMs), computer vision, and tabular data—precisely meeting the industry's needs to address these prevalent challenges."
Anand Gopalan
CEO & Co-Founder, Vayu Robotics
"As a company who provides video telematics solution to vehicles at scale, we need to ensure that our AI is working optimally and without issues across the whole spectrum of vehicles. RagaAI has been instrumental in helping us do this. Their wide range of offerings including A/B testing, pipeline testing, etc. at scale along with the committed support is accelerating us as a company to achieve the above goals."
Mithun Uliyar
Co-Founder & Head of Data Science, LightMetrics
“Having worked extensively in AI and LLMs, I recognize the significance of robust LLM evaluation tools. RagaAI Evaluation and Guardrail Suite for LLMs and RAG Applications is a key step forward with its comprehensiveness & open source while enterprise ready offering and emphasis on reliability and bias evaluation. A top choice for AI developers and enterprises."
"Leading the Geometric Media Lab at ASU, I'm constantly exploring new methodologies in Generative AI and LLMs. RagaAI’s open source offering for LLMs and RAG Applications aligns seamlessly with our research and developer goals, offering a robust framework for evaluating complex AI systems. A must-have tool for any serious researcher and open source community." Views are personal & don't represent the organization.
Professor and Director at School of Arts, Media and Engineering, Arizona State University
"In this era of exponential AI advancement, I've witnessed that there is a crucial gap in the testing of AI. RagaAI now fills that gap, utilizing the best practices from software development and testing processes combined with ground breaking innovations to address this issue with AI testing. This transformation sets a gold standard for comprehensive AI testing, ensuring robustness and reliability of AI."
Ankit Bhati
Co-Founder, OLA & Amnic
"Satsure is a pioneer in Earth Observation and geospatial imaging. Issues such as Labelling quality have been a challenging problem in building high quality AI models. RagaAI’s automated suite of tests has enabled us to solve our data and AI models issues and improve our model accuracy significantly."
Divya Sharma
Vice President & Head of Data Science, Satsure
"In my experience, AI failures are more widespread than commonly acknowledged. RagaAI uniquely offers a comprehensive and multimodal testing platform supporting Language Learning Models (LLMs), computer vision, and tabular data—precisely meeting the industry's needs to address these prevalent challenges."
Anand Gopalan
CEO & Co-Founder, Vayu Robotics
"As a company who provides video telematics solution to vehicles at scale, we need to ensure that our AI is working optimally and without issues across the whole spectrum of vehicles. RagaAI has been instrumental in helping us do this. Their wide range of offerings including A/B testing, pipeline testing, etc. at scale along with the committed support is accelerating us as a company to achieve the above goals."
Mithun Uliyar
Co-Founder & Head of Data Science, LightMetrics
“Having worked extensively in AI and LLMs, I recognize the significance of robust LLM evaluation tools. RagaAI Evaluation and Guardrail Suite for LLMs and RAG Applications is a key step forward with its comprehensiveness & open source while enterprise ready offering and emphasis on reliability and bias evaluation. A top choice for AI developers and enterprises."
"Leading the Geometric Media Lab at ASU, I'm constantly exploring new methodologies in Generative AI and LLMs. RagaAI’s open source offering for LLMs and RAG Applications aligns seamlessly with our research and developer goals, offering a robust framework for evaluating complex AI systems. A must-have tool for any serious researcher and open source community." Views are personal & don't represent the organization.
Professor and Director at School of Arts, Media and Engineering, Arizona State University
"In this era of exponential AI advancement, I've witnessed that there is a crucial gap in the testing of AI. RagaAI now fills that gap, utilizing the best practices from software development and testing processes combined with ground breaking innovations to address this issue with AI testing. This transformation sets a gold standard for comprehensive AI testing, ensuring robustness and reliability of AI."
Ankit Bhati
Co-Founder, OLA & Amnic
"Satsure is a pioneer in Earth Observation and geospatial imaging. Issues such as Labelling quality have been a challenging problem in building high quality AI models. RagaAI’s automated suite of tests has enabled us to solve our data and AI models issues and improve our model accuracy significantly."
Divya Sharma
Vice President & Head of Data Science, Satsure
"In my experience, AI failures are more widespread than commonly acknowledged. RagaAI uniquely offers a comprehensive and multimodal testing platform supporting Language Learning Models (LLMs), computer vision, and tabular data—precisely meeting the industry's needs to address these prevalent challenges."
Anand Gopalan
CEO & Co-Founder, Vayu Robotics
"As a company who provides video telematics solution to vehicles at scale, we need to ensure that our AI is working optimally and without issues across the whole spectrum of vehicles. RagaAI has been instrumental in helping us do this. Their wide range of offerings including A/B testing, pipeline testing, etc. at scale along with the committed support is accelerating us as a company to achieve the above goals."
Mithun Uliyar
Co-Founder & Head of Data Science, LightMetrics
“Having worked extensively in AI and LLMs, I recognize the significance of robust LLM evaluation tools. RagaAI Evaluation and Guardrail Suite for LLMs and RAG Applications is a key step forward with its comprehensiveness & open source while enterprise ready offering and emphasis on reliability and bias evaluation. A top choice for AI developers and enterprises."
"Leading the Geometric Media Lab at ASU, I'm constantly exploring new methodologies in Generative AI and LLMs. RagaAI’s open source offering for LLMs and RAG Applications aligns seamlessly with our research and developer goals, offering a robust framework for evaluating complex AI systems. A must-have tool for any serious researcher and open source community." Views are personal & don't represent the organization.
Professor and Director at School of Arts, Media and Engineering, Arizona State University
"In this era of exponential AI advancement, I've witnessed that there is a crucial gap in the testing of AI. RagaAI now fills that gap, utilizing the best practices from software development and testing processes combined with ground breaking innovations to address this issue with AI testing. This transformation sets a gold standard for comprehensive AI testing, ensuring robustness and reliability of AI."
Ankit Bhati
Co-Founder, OLA & Amnic
"Satsure is a pioneer in Earth Observation and geospatial imaging. Issues such as Labelling quality have been a challenging problem in building high quality AI models. RagaAI’s automated suite of tests has enabled us to solve our data and AI models issues and improve our model accuracy significantly."
Divya Sharma
Vice President & Head of Data Science, Satsure
"In my experience, AI failures are more widespread than commonly acknowledged. RagaAI uniquely offers a comprehensive and multimodal testing platform supporting Language Learning Models (LLMs), computer vision, and tabular data—precisely meeting the industry's needs to address these prevalent challenges."
Anand Gopalan
CEO & Co-Founder, Vayu Robotics
"As a company who provides video telematics solution to vehicles at scale, we need to ensure that our AI is working optimally and without issues across the whole spectrum of vehicles. RagaAI has been instrumental in helping us do this. Their wide range of offerings including A/B testing, pipeline testing, etc. at scale along with the committed support is accelerating us as a company to achieve the above goals."
Mithun Uliyar
Co-Founder & Head of Data Science, LightMetrics
What Our Partners Say
“Having worked extensively in AI and LLMs, I recognize the significance of robust LLM evaluation tools. RagaAI Evaluation and Guardrail Suite for LLMs and RAG Applications is a key step forward with its comprehensiveness & open source while enterprise ready offering and emphasis on reliability and bias evaluation. A top choice for AI developers and enterprises."
"Leading the Geometric Media Lab at ASU, I'm constantly exploring new methodologies in Generative AI and LLMs. RagaAI’s open source offering for LLMs and RAG Applications aligns seamlessly with our research and developer goals, offering a robust framework for evaluating complex AI systems. A must-have tool for any serious researcher and open source community." Views are personal & don't represent the organization.
Professor and Director at School of Arts, Media and Engineering, Arizona State University
"In this era of exponential AI advancement, I've witnessed that there is a crucial gap in the testing of AI. RagaAI now fills that gap, utilizing the best practices from software development and testing processes combined with ground breaking innovations to address this issue with AI testing. This transformation sets a gold standard for comprehensive AI testing, ensuring robustness and reliability of AI."
Ankit Bhati
Co-Founder, OLA & Amnic
"Satsure is a pioneer in Earth Observation and geospatial imaging. Issues such as Labelling quality have been a challenging problem in building high quality AI models. RagaAI’s automated suite of tests has enabled us to solve our data and AI models issues and improve our model accuracy significantly."
Divya Sharma
Vice President & Head of Data Science, Satsure
"In my experience, AI failures are more widespread than commonly acknowledged. RagaAI uniquely offers a comprehensive and multimodal testing platform supporting Language Learning Models (LLMs), computer vision, and tabular data—precisely meeting the industry's needs to address these prevalent challenges."
Anand Gopalan
CEO & Co-Founder, Vayu Robotics
"As a company who provides video telematics solution to vehicles at scale, we need to ensure that our AI is working optimally and without issues across the whole spectrum of vehicles. RagaAI has been instrumental in helping us do this. Their wide range of offerings including A/B testing, pipeline testing, etc. at scale along with the committed support is accelerating us as a company to achieve the above goals."
Mithun Uliyar
Co-Founder & Head of Data Science, LightMetrics
“Having worked extensively in AI and LLMs, I recognize the significance of robust LLM evaluation tools. RagaAI Evaluation and Guardrail Suite for LLMs and RAG Applications is a key step forward with its comprehensiveness & open source while enterprise ready offering and emphasis on reliability and bias evaluation. A top choice for AI developers and enterprises."
"Leading the Geometric Media Lab at ASU, I'm constantly exploring new methodologies in Generative AI and LLMs. RagaAI’s open source offering for LLMs and RAG Applications aligns seamlessly with our research and developer goals, offering a robust framework for evaluating complex AI systems. A must-have tool for any serious researcher and open source community." Views are personal & don't represent the organization.
Professor and Director at School of Arts, Media and Engineering, Arizona State University
"In this era of exponential AI advancement, I've witnessed that there is a crucial gap in the testing of AI. RagaAI now fills that gap, utilizing the best practices from software development and testing processes combined with ground breaking innovations to address this issue with AI testing. This transformation sets a gold standard for comprehensive AI testing, ensuring robustness and reliability of AI."
Ankit Bhati
Co-Founder, OLA & Amnic
"Satsure is a pioneer in Earth Observation and geospatial imaging. Issues such as Labelling quality have been a challenging problem in building high quality AI models. RagaAI’s automated suite of tests has enabled us to solve our data and AI models issues and improve our model accuracy significantly."
Divya Sharma
Vice President & Head of Data Science, Satsure
"In my experience, AI failures are more widespread than commonly acknowledged. RagaAI uniquely offers a comprehensive and multimodal testing platform supporting Language Learning Models (LLMs), computer vision, and tabular data—precisely meeting the industry's needs to address these prevalent challenges."
Anand Gopalan
CEO & Co-Founder, Vayu Robotics
"As a company who provides video telematics solution to vehicles at scale, we need to ensure that our AI is working optimally and without issues across the whole spectrum of vehicles. RagaAI has been instrumental in helping us do this. Their wide range of offerings including A/B testing, pipeline testing, etc. at scale along with the committed support is accelerating us as a company to achieve the above goals."
Mithun Uliyar
Co-Founder & Head of Data Science, LightMetrics
“Having worked extensively in AI and LLMs, I recognize the significance of robust LLM evaluation tools. RagaAI Evaluation and Guardrail Suite for LLMs and RAG Applications is a key step forward with its comprehensiveness & open source while enterprise ready offering and emphasis on reliability and bias evaluation. A top choice for AI developers and enterprises."
"Leading the Geometric Media Lab at ASU, I'm constantly exploring new methodologies in Generative AI and LLMs. RagaAI’s open source offering for LLMs and RAG Applications aligns seamlessly with our research and developer goals, offering a robust framework for evaluating complex AI systems. A must-have tool for any serious researcher and open source community." Views are personal & don't represent the organization.
Professor and Director at School of Arts, Media and Engineering, Arizona State University
"In this era of exponential AI advancement, I've witnessed that there is a crucial gap in the testing of AI. RagaAI now fills that gap, utilizing the best practices from software development and testing processes combined with ground breaking innovations to address this issue with AI testing. This transformation sets a gold standard for comprehensive AI testing, ensuring robustness and reliability of AI."
Ankit Bhati
Co-Founder, OLA & Amnic
"Satsure is a pioneer in Earth Observation and geospatial imaging. Issues such as Labelling quality have been a challenging problem in building high quality AI models. RagaAI’s automated suite of tests has enabled us to solve our data and AI models issues and improve our model accuracy significantly."
Divya Sharma
Vice President & Head of Data Science, Satsure
"In my experience, AI failures are more widespread than commonly acknowledged. RagaAI uniquely offers a comprehensive and multimodal testing platform supporting Language Learning Models (LLMs), computer vision, and tabular data—precisely meeting the industry's needs to address these prevalent challenges."
Anand Gopalan
CEO & Co-Founder, Vayu Robotics
"As a company who provides video telematics solution to vehicles at scale, we need to ensure that our AI is working optimally and without issues across the whole spectrum of vehicles. RagaAI has been instrumental in helping us do this. Their wide range of offerings including A/B testing, pipeline testing, etc. at scale along with the committed support is accelerating us as a company to achieve the above goals."
Mithun Uliyar
Co-Founder & Head of Data Science, LightMetrics
“Having worked extensively in AI and LLMs, I recognize the significance of robust LLM evaluation tools. RagaAI Evaluation and Guardrail Suite for LLMs and RAG Applications is a key step forward with its comprehensiveness & open source while enterprise ready offering and emphasis on reliability and bias evaluation. A top choice for AI developers and enterprises."
"Leading the Geometric Media Lab at ASU, I'm constantly exploring new methodologies in Generative AI and LLMs. RagaAI’s open source offering for LLMs and RAG Applications aligns seamlessly with our research and developer goals, offering a robust framework for evaluating complex AI systems. A must-have tool for any serious researcher and open source community." Views are personal & don't represent the organization.
Professor and Director at School of Arts, Media and Engineering, Arizona State University
"In this era of exponential AI advancement, I've witnessed that there is a crucial gap in the testing of AI. RagaAI now fills that gap, utilizing the best practices from software development and testing processes combined with ground breaking innovations to address this issue with AI testing. This transformation sets a gold standard for comprehensive AI testing, ensuring robustness and reliability of AI."
Ankit Bhati
Co-Founder, OLA & Amnic
"Satsure is a pioneer in Earth Observation and geospatial imaging. Issues such as Labelling quality have been a challenging problem in building high quality AI models. RagaAI’s automated suite of tests has enabled us to solve our data and AI models issues and improve our model accuracy significantly."
Divya Sharma
Vice President & Head of Data Science, Satsure
"In my experience, AI failures are more widespread than commonly acknowledged. RagaAI uniquely offers a comprehensive and multimodal testing platform supporting Language Learning Models (LLMs), computer vision, and tabular data—precisely meeting the industry's needs to address these prevalent challenges."
Anand Gopalan
CEO & Co-Founder, Vayu Robotics
"As a company who provides video telematics solution to vehicles at scale, we need to ensure that our AI is working optimally and without issues across the whole spectrum of vehicles. RagaAI has been instrumental in helping us do this. Their wide range of offerings including A/B testing, pipeline testing, etc. at scale along with the committed support is accelerating us as a company to achieve the above goals."
Mithun Uliyar
Co-Founder & Head of Data Science, LightMetrics
What Our Partners Say
“Having worked extensively in AI and LLMs, I recognize the significance of robust LLM evaluation tools. RagaAI Evaluation and Guardrail Suite for LLMs and RAG Applications is a key step forward with its comprehensiveness & open source while enterprise ready offering and emphasis on reliability and bias evaluation. A top choice for AI developers and enterprises."
"Leading the Geometric Media Lab at ASU, I'm constantly exploring new methodologies in Generative AI and LLMs. RagaAI’s open source offering for LLMs and RAG Applications aligns seamlessly with our research and developer goals, offering a robust framework for evaluating complex AI systems. A must-have tool for any serious researcher and open source community." Views are personal & don't represent the organization.
Professor and Director at School of Arts, Media and Engineering, Arizona State University
"In this era of exponential AI advancement, I've witnessed that there is a crucial gap in the testing of AI. RagaAI now fills that gap, utilizing the best practices from software development and testing processes combined with ground breaking innovations to address this issue with AI testing. This transformation sets a gold standard for comprehensive AI testing, ensuring robustness and reliability of AI."
Ankit Bhati
Co-Founder, OLA & Amnic
"Satsure is a pioneer in Earth Observation and geospatial imaging. Issues such as Labelling quality have been a challenging problem in building high quality AI models. RagaAI’s automated suite of tests has enabled us to solve our data and AI models issues and improve our model accuracy significantly."
Divya Sharma
Vice President & Head of Data Science, Satsure
"In my experience, AI failures are more widespread than commonly acknowledged. RagaAI uniquely offers a comprehensive and multimodal testing platform supporting Language Learning Models (LLMs), computer vision, and tabular data—precisely meeting the industry's needs to address these prevalent challenges."
Anand Gopalan
CEO & Co-Founder, Vayu Robotics
"As a company who provides video telematics solution to vehicles at scale, we need to ensure that our AI is working optimally and without issues across the whole spectrum of vehicles. RagaAI has been instrumental in helping us do this. Their wide range of offerings including A/B testing, pipeline testing, etc. at scale along with the committed support is accelerating us as a company to achieve the above goals."
Mithun Uliyar
Co-Founder & Head of Data Science, LightMetrics
“Having worked extensively in AI and LLMs, I recognize the significance of robust LLM evaluation tools. RagaAI Evaluation and Guardrail Suite for LLMs and RAG Applications is a key step forward with its comprehensiveness & open source while enterprise ready offering and emphasis on reliability and bias evaluation. A top choice for AI developers and enterprises."
"Leading the Geometric Media Lab at ASU, I'm constantly exploring new methodologies in Generative AI and LLMs. RagaAI’s open source offering for LLMs and RAG Applications aligns seamlessly with our research and developer goals, offering a robust framework for evaluating complex AI systems. A must-have tool for any serious researcher and open source community." Views are personal & don't represent the organization.
Professor and Director at School of Arts, Media and Engineering, Arizona State University
"In this era of exponential AI advancement, I've witnessed that there is a crucial gap in the testing of AI. RagaAI now fills that gap, utilizing the best practices from software development and testing processes combined with ground breaking innovations to address this issue with AI testing. This transformation sets a gold standard for comprehensive AI testing, ensuring robustness and reliability of AI."
Ankit Bhati
Co-Founder, OLA & Amnic
"Satsure is a pioneer in Earth Observation and geospatial imaging. Issues such as Labelling quality have been a challenging problem in building high quality AI models. RagaAI’s automated suite of tests has enabled us to solve our data and AI models issues and improve our model accuracy significantly."
Divya Sharma
Vice President & Head of Data Science, Satsure
"In my experience, AI failures are more widespread than commonly acknowledged. RagaAI uniquely offers a comprehensive and multimodal testing platform supporting Language Learning Models (LLMs), computer vision, and tabular data—precisely meeting the industry's needs to address these prevalent challenges."
Anand Gopalan
CEO & Co-Founder, Vayu Robotics
"As a company who provides video telematics solution to vehicles at scale, we need to ensure that our AI is working optimally and without issues across the whole spectrum of vehicles. RagaAI has been instrumental in helping us do this. Their wide range of offerings including A/B testing, pipeline testing, etc. at scale along with the committed support is accelerating us as a company to achieve the above goals."
Mithun Uliyar
Co-Founder & Head of Data Science, LightMetrics
“Having worked extensively in AI and LLMs, I recognize the significance of robust LLM evaluation tools. RagaAI Evaluation and Guardrail Suite for LLMs and RAG Applications is a key step forward with its comprehensiveness & open source while enterprise ready offering and emphasis on reliability and bias evaluation. A top choice for AI developers and enterprises."
"Leading the Geometric Media Lab at ASU, I'm constantly exploring new methodologies in Generative AI and LLMs. RagaAI’s open source offering for LLMs and RAG Applications aligns seamlessly with our research and developer goals, offering a robust framework for evaluating complex AI systems. A must-have tool for any serious researcher and open source community." Views are personal & don't represent the organization.
Professor and Director at School of Arts, Media and Engineering, Arizona State University
"In this era of exponential AI advancement, I've witnessed that there is a crucial gap in the testing of AI. RagaAI now fills that gap, utilizing the best practices from software development and testing processes combined with ground breaking innovations to address this issue with AI testing. This transformation sets a gold standard for comprehensive AI testing, ensuring robustness and reliability of AI."
Ankit Bhati
Co-Founder, OLA & Amnic
"Satsure is a pioneer in Earth Observation and geospatial imaging. Issues such as Labelling quality have been a challenging problem in building high quality AI models. RagaAI’s automated suite of tests has enabled us to solve our data and AI models issues and improve our model accuracy significantly."
Divya Sharma
Vice President & Head of Data Science, Satsure
"In my experience, AI failures are more widespread than commonly acknowledged. RagaAI uniquely offers a comprehensive and multimodal testing platform supporting Language Learning Models (LLMs), computer vision, and tabular data—precisely meeting the industry's needs to address these prevalent challenges."
Anand Gopalan
CEO & Co-Founder, Vayu Robotics
"As a company who provides video telematics solution to vehicles at scale, we need to ensure that our AI is working optimally and without issues across the whole spectrum of vehicles. RagaAI has been instrumental in helping us do this. Their wide range of offerings including A/B testing, pipeline testing, etc. at scale along with the committed support is accelerating us as a company to achieve the above goals."
Mithun Uliyar
Co-Founder & Head of Data Science, LightMetrics
“Having worked extensively in AI and LLMs, I recognize the significance of robust LLM evaluation tools. RagaAI Evaluation and Guardrail Suite for LLMs and RAG Applications is a key step forward with its comprehensiveness & open source while enterprise ready offering and emphasis on reliability and bias evaluation. A top choice for AI developers and enterprises."
"Leading the Geometric Media Lab at ASU, I'm constantly exploring new methodologies in Generative AI and LLMs. RagaAI’s open source offering for LLMs and RAG Applications aligns seamlessly with our research and developer goals, offering a robust framework for evaluating complex AI systems. A must-have tool for any serious researcher and open source community." Views are personal & don't represent the organization.
Professor and Director at School of Arts, Media and Engineering, Arizona State University
"In this era of exponential AI advancement, I've witnessed that there is a crucial gap in the testing of AI. RagaAI now fills that gap, utilizing the best practices from software development and testing processes combined with ground breaking innovations to address this issue with AI testing. This transformation sets a gold standard for comprehensive AI testing, ensuring robustness and reliability of AI."
Ankit Bhati
Co-Founder, OLA & Amnic
"Satsure is a pioneer in Earth Observation and geospatial imaging. Issues such as Labelling quality have been a challenging problem in building high quality AI models. RagaAI’s automated suite of tests has enabled us to solve our data and AI models issues and improve our model accuracy significantly."
Divya Sharma
Vice President & Head of Data Science, Satsure
"In my experience, AI failures are more widespread than commonly acknowledged. RagaAI uniquely offers a comprehensive and multimodal testing platform supporting Language Learning Models (LLMs), computer vision, and tabular data—precisely meeting the industry's needs to address these prevalent challenges."
Anand Gopalan
CEO & Co-Founder, Vayu Robotics
"As a company who provides video telematics solution to vehicles at scale, we need to ensure that our AI is working optimally and without issues across the whole spectrum of vehicles. RagaAI has been instrumental in helping us do this. Their wide range of offerings including A/B testing, pipeline testing, etc. at scale along with the committed support is accelerating us as a company to achieve the above goals."
Mithun Uliyar
Co-Founder & Head of Data Science, LightMetrics
What Our Partners Say
“Having worked extensively in AI and LLMs, I recognize the significance of robust LLM evaluation tools. RagaAI Evaluation and Guardrail Suite for LLMs and RAG Applications is a key step forward with its comprehensiveness & open source while enterprise ready offering and emphasis on reliability and bias evaluation. A top choice for AI developers and enterprises."
"Leading the Geometric Media Lab at ASU, I'm constantly exploring new methodologies in Generative AI and LLMs. RagaAI’s open source offering for LLMs and RAG Applications aligns seamlessly with our research and developer goals, offering a robust framework for evaluating complex AI systems. A must-have tool for any serious researcher and open source community." Views are personal & don't represent the organization.
Professor and Director at School of Arts, Media and Engineering, Arizona State University
"In this era of exponential AI advancement, I've witnessed that there is a crucial gap in the testing of AI. RagaAI now fills that gap, utilizing the best practices from software development and testing processes combined with ground breaking innovations to address this issue with AI testing. This transformation sets a gold standard for comprehensive AI testing, ensuring robustness and reliability of AI."
Ankit Bhati
Co-Founder, OLA & Amnic
"Satsure is a pioneer in Earth Observation and geospatial imaging. Issues such as Labelling quality have been a challenging problem in building high quality AI models. RagaAI’s automated suite of tests has enabled us to solve our data and AI models issues and improve our model accuracy significantly."
Divya Sharma
Vice President & Head of Data Science, Satsure
"In my experience, AI failures are more widespread than commonly acknowledged. RagaAI uniquely offers a comprehensive and multimodal testing platform supporting Language Learning Models (LLMs), computer vision, and tabular data—precisely meeting the industry's needs to address these prevalent challenges."
Anand Gopalan
CEO & Co-Founder, Vayu Robotics
"As a company who provides video telematics solution to vehicles at scale, we need to ensure that our AI is working optimally and without issues across the whole spectrum of vehicles. RagaAI has been instrumental in helping us do this. Their wide range of offerings including A/B testing, pipeline testing, etc. at scale along with the committed support is accelerating us as a company to achieve the above goals."
Mithun Uliyar
Co-Founder & Head of Data Science, LightMetrics
“Having worked extensively in AI and LLMs, I recognize the significance of robust LLM evaluation tools. RagaAI Evaluation and Guardrail Suite for LLMs and RAG Applications is a key step forward with its comprehensiveness & open source while enterprise ready offering and emphasis on reliability and bias evaluation. A top choice for AI developers and enterprises."
"Leading the Geometric Media Lab at ASU, I'm constantly exploring new methodologies in Generative AI and LLMs. RagaAI’s open source offering for LLMs and RAG Applications aligns seamlessly with our research and developer goals, offering a robust framework for evaluating complex AI systems. A must-have tool for any serious researcher and open source community." Views are personal & don't represent the organization.
Professor and Director at School of Arts, Media and Engineering, Arizona State University
"In this era of exponential AI advancement, I've witnessed that there is a crucial gap in the testing of AI. RagaAI now fills that gap, utilizing the best practices from software development and testing processes combined with ground breaking innovations to address this issue with AI testing. This transformation sets a gold standard for comprehensive AI testing, ensuring robustness and reliability of AI."
Ankit Bhati
Co-Founder, OLA & Amnic
"Satsure is a pioneer in Earth Observation and geospatial imaging. Issues such as Labelling quality have been a challenging problem in building high quality AI models. RagaAI’s automated suite of tests has enabled us to solve our data and AI models issues and improve our model accuracy significantly."
Divya Sharma
Vice President & Head of Data Science, Satsure
"In my experience, AI failures are more widespread than commonly acknowledged. RagaAI uniquely offers a comprehensive and multimodal testing platform supporting Language Learning Models (LLMs), computer vision, and tabular data—precisely meeting the industry's needs to address these prevalent challenges."
Anand Gopalan
CEO & Co-Founder, Vayu Robotics
"As a company who provides video telematics solution to vehicles at scale, we need to ensure that our AI is working optimally and without issues across the whole spectrum of vehicles. RagaAI has been instrumental in helping us do this. Their wide range of offerings including A/B testing, pipeline testing, etc. at scale along with the committed support is accelerating us as a company to achieve the above goals."
Mithun Uliyar
Co-Founder & Head of Data Science, LightMetrics
“Having worked extensively in AI and LLMs, I recognize the significance of robust LLM evaluation tools. RagaAI Evaluation and Guardrail Suite for LLMs and RAG Applications is a key step forward with its comprehensiveness & open source while enterprise ready offering and emphasis on reliability and bias evaluation. A top choice for AI developers and enterprises."
"Leading the Geometric Media Lab at ASU, I'm constantly exploring new methodologies in Generative AI and LLMs. RagaAI’s open source offering for LLMs and RAG Applications aligns seamlessly with our research and developer goals, offering a robust framework for evaluating complex AI systems. A must-have tool for any serious researcher and open source community." Views are personal & don't represent the organization.
Professor and Director at School of Arts, Media and Engineering, Arizona State University
"In this era of exponential AI advancement, I've witnessed that there is a crucial gap in the testing of AI. RagaAI now fills that gap, utilizing the best practices from software development and testing processes combined with ground breaking innovations to address this issue with AI testing. This transformation sets a gold standard for comprehensive AI testing, ensuring robustness and reliability of AI."
Ankit Bhati
Co-Founder, OLA & Amnic
"Satsure is a pioneer in Earth Observation and geospatial imaging. Issues such as Labelling quality have been a challenging problem in building high quality AI models. RagaAI’s automated suite of tests has enabled us to solve our data and AI models issues and improve our model accuracy significantly."
Divya Sharma
Vice President & Head of Data Science, Satsure
"In my experience, AI failures are more widespread than commonly acknowledged. RagaAI uniquely offers a comprehensive and multimodal testing platform supporting Language Learning Models (LLMs), computer vision, and tabular data—precisely meeting the industry's needs to address these prevalent challenges."
Anand Gopalan
CEO & Co-Founder, Vayu Robotics
"As a company who provides video telematics solution to vehicles at scale, we need to ensure that our AI is working optimally and without issues across the whole spectrum of vehicles. RagaAI has been instrumental in helping us do this. Their wide range of offerings including A/B testing, pipeline testing, etc. at scale along with the committed support is accelerating us as a company to achieve the above goals."
Mithun Uliyar
Co-Founder & Head of Data Science, LightMetrics
“Having worked extensively in AI and LLMs, I recognize the significance of robust LLM evaluation tools. RagaAI Evaluation and Guardrail Suite for LLMs and RAG Applications is a key step forward with its comprehensiveness & open source while enterprise ready offering and emphasis on reliability and bias evaluation. A top choice for AI developers and enterprises."
"Leading the Geometric Media Lab at ASU, I'm constantly exploring new methodologies in Generative AI and LLMs. RagaAI’s open source offering for LLMs and RAG Applications aligns seamlessly with our research and developer goals, offering a robust framework for evaluating complex AI systems. A must-have tool for any serious researcher and open source community." Views are personal & don't represent the organization.
Professor and Director at School of Arts, Media and Engineering, Arizona State University
"In this era of exponential AI advancement, I've witnessed that there is a crucial gap in the testing of AI. RagaAI now fills that gap, utilizing the best practices from software development and testing processes combined with ground breaking innovations to address this issue with AI testing. This transformation sets a gold standard for comprehensive AI testing, ensuring robustness and reliability of AI."
Ankit Bhati
Co-Founder, OLA & Amnic
"Satsure is a pioneer in Earth Observation and geospatial imaging. Issues such as Labelling quality have been a challenging problem in building high quality AI models. RagaAI’s automated suite of tests has enabled us to solve our data and AI models issues and improve our model accuracy significantly."
Divya Sharma
Vice President & Head of Data Science, Satsure
"In my experience, AI failures are more widespread than commonly acknowledged. RagaAI uniquely offers a comprehensive and multimodal testing platform supporting Language Learning Models (LLMs), computer vision, and tabular data—precisely meeting the industry's needs to address these prevalent challenges."
Anand Gopalan
CEO & Co-Founder, Vayu Robotics
"As a company who provides video telematics solution to vehicles at scale, we need to ensure that our AI is working optimally and without issues across the whole spectrum of vehicles. RagaAI has been instrumental in helping us do this. Their wide range of offerings including A/B testing, pipeline testing, etc. at scale along with the committed support is accelerating us as a company to achieve the above goals."
Mithun Uliyar
Co-Founder & Head of Data Science, LightMetrics
What Our Partners Say
“Having worked extensively in AI and LLMs, I recognize the significance of robust LLM evaluation tools. RagaAI Evaluation and Guardrail Suite for LLMs and RAG Applications is a key step forward with its comprehensiveness & open source while enterprise ready offering and emphasis on reliability and bias evaluation. A top choice for AI developers and enterprises."
"Leading the Geometric Media Lab at ASU, I'm constantly exploring new methodologies in Generative AI and LLMs. RagaAI’s open source offering for LLMs and RAG Applications aligns seamlessly with our research and developer goals, offering a robust framework for evaluating complex AI systems. A must-have tool for any serious researcher and open source community." Views are personal & don't represent the organization.
Professor and Director at School of Arts, Media and Engineering, Arizona State University
"In this era of exponential AI advancement, I've witnessed that there is a crucial gap in the testing of AI. RagaAI now fills that gap, utilizing the best practices from software development and testing processes combined with ground breaking innovations to address this issue with AI testing. This transformation sets a gold standard for comprehensive AI testing, ensuring robustness and reliability of AI."
Ankit Bhati
Co-Founder, OLA & Amnic
"Satsure is a pioneer in Earth Observation and geospatial imaging. Issues such as Labelling quality have been a challenging problem in building high quality AI models. RagaAI’s automated suite of tests has enabled us to solve our data and AI models issues and improve our model accuracy significantly."
Divya Sharma
Vice President & Head of Data Science, Satsure
"In my experience, AI failures are more widespread than commonly acknowledged. RagaAI uniquely offers a comprehensive and multimodal testing platform supporting Language Learning Models (LLMs), computer vision, and tabular data—precisely meeting the industry's needs to address these prevalent challenges."
Anand Gopalan
CEO & Co-Founder, Vayu Robotics
"As a company who provides video telematics solution to vehicles at scale, we need to ensure that our AI is working optimally and without issues across the whole spectrum of vehicles. RagaAI has been instrumental in helping us do this. Their wide range of offerings including A/B testing, pipeline testing, etc. at scale along with the committed support is accelerating us as a company to achieve the above goals."
Mithun Uliyar
Co-Founder & Head of Data Science, LightMetrics
“Having worked extensively in AI and LLMs, I recognize the significance of robust LLM evaluation tools. RagaAI Evaluation and Guardrail Suite for LLMs and RAG Applications is a key step forward with its comprehensiveness & open source while enterprise ready offering and emphasis on reliability and bias evaluation. A top choice for AI developers and enterprises."
"Leading the Geometric Media Lab at ASU, I'm constantly exploring new methodologies in Generative AI and LLMs. RagaAI’s open source offering for LLMs and RAG Applications aligns seamlessly with our research and developer goals, offering a robust framework for evaluating complex AI systems. A must-have tool for any serious researcher and open source community." Views are personal & don't represent the organization.
Professor and Director at School of Arts, Media and Engineering, Arizona State University
"In this era of exponential AI advancement, I've witnessed that there is a crucial gap in the testing of AI. RagaAI now fills that gap, utilizing the best practices from software development and testing processes combined with ground breaking innovations to address this issue with AI testing. This transformation sets a gold standard for comprehensive AI testing, ensuring robustness and reliability of AI."
Ankit Bhati
Co-Founder, OLA & Amnic
"Satsure is a pioneer in Earth Observation and geospatial imaging. Issues such as Labelling quality have been a challenging problem in building high quality AI models. RagaAI’s automated suite of tests has enabled us to solve our data and AI models issues and improve our model accuracy significantly."
Divya Sharma
Vice President & Head of Data Science, Satsure
"In my experience, AI failures are more widespread than commonly acknowledged. RagaAI uniquely offers a comprehensive and multimodal testing platform supporting Language Learning Models (LLMs), computer vision, and tabular data—precisely meeting the industry's needs to address these prevalent challenges."
Anand Gopalan
CEO & Co-Founder, Vayu Robotics
"As a company who provides video telematics solution to vehicles at scale, we need to ensure that our AI is working optimally and without issues across the whole spectrum of vehicles. RagaAI has been instrumental in helping us do this. Their wide range of offerings including A/B testing, pipeline testing, etc. at scale along with the committed support is accelerating us as a company to achieve the above goals."
Mithun Uliyar
Co-Founder & Head of Data Science, LightMetrics
“Having worked extensively in AI and LLMs, I recognize the significance of robust LLM evaluation tools. RagaAI Evaluation and Guardrail Suite for LLMs and RAG Applications is a key step forward with its comprehensiveness & open source while enterprise ready offering and emphasis on reliability and bias evaluation. A top choice for AI developers and enterprises."
"Leading the Geometric Media Lab at ASU, I'm constantly exploring new methodologies in Generative AI and LLMs. RagaAI’s open source offering for LLMs and RAG Applications aligns seamlessly with our research and developer goals, offering a robust framework for evaluating complex AI systems. A must-have tool for any serious researcher and open source community." Views are personal & don't represent the organization.
Professor and Director at School of Arts, Media and Engineering, Arizona State University
"In this era of exponential AI advancement, I've witnessed that there is a crucial gap in the testing of AI. RagaAI now fills that gap, utilizing the best practices from software development and testing processes combined with ground breaking innovations to address this issue with AI testing. This transformation sets a gold standard for comprehensive AI testing, ensuring robustness and reliability of AI."
Ankit Bhati
Co-Founder, OLA & Amnic
"Satsure is a pioneer in Earth Observation and geospatial imaging. Issues such as Labelling quality have been a challenging problem in building high quality AI models. RagaAI’s automated suite of tests has enabled us to solve our data and AI models issues and improve our model accuracy significantly."
Divya Sharma
Vice President & Head of Data Science, Satsure
"In my experience, AI failures are more widespread than commonly acknowledged. RagaAI uniquely offers a comprehensive and multimodal testing platform supporting Language Learning Models (LLMs), computer vision, and tabular data—precisely meeting the industry's needs to address these prevalent challenges."
Anand Gopalan
CEO & Co-Founder, Vayu Robotics
"As a company who provides video telematics solution to vehicles at scale, we need to ensure that our AI is working optimally and without issues across the whole spectrum of vehicles. RagaAI has been instrumental in helping us do this. Their wide range of offerings including A/B testing, pipeline testing, etc. at scale along with the committed support is accelerating us as a company to achieve the above goals."
Mithun Uliyar
Co-Founder & Head of Data Science, LightMetrics
“Having worked extensively in AI and LLMs, I recognize the significance of robust LLM evaluation tools. RagaAI Evaluation and Guardrail Suite for LLMs and RAG Applications is a key step forward with its comprehensiveness & open source while enterprise ready offering and emphasis on reliability and bias evaluation. A top choice for AI developers and enterprises."
"Leading the Geometric Media Lab at ASU, I'm constantly exploring new methodologies in Generative AI and LLMs. RagaAI’s open source offering for LLMs and RAG Applications aligns seamlessly with our research and developer goals, offering a robust framework for evaluating complex AI systems. A must-have tool for any serious researcher and open source community." Views are personal & don't represent the organization.
Professor and Director at School of Arts, Media and Engineering, Arizona State University
"In this era of exponential AI advancement, I've witnessed that there is a crucial gap in the testing of AI. RagaAI now fills that gap, utilizing the best practices from software development and testing processes combined with ground breaking innovations to address this issue with AI testing. This transformation sets a gold standard for comprehensive AI testing, ensuring robustness and reliability of AI."
Ankit Bhati
Co-Founder, OLA & Amnic
"Satsure is a pioneer in Earth Observation and geospatial imaging. Issues such as Labelling quality have been a challenging problem in building high quality AI models. RagaAI’s automated suite of tests has enabled us to solve our data and AI models issues and improve our model accuracy significantly."
Divya Sharma
Vice President & Head of Data Science, Satsure
"In my experience, AI failures are more widespread than commonly acknowledged. RagaAI uniquely offers a comprehensive and multimodal testing platform supporting Language Learning Models (LLMs), computer vision, and tabular data—precisely meeting the industry's needs to address these prevalent challenges."
Anand Gopalan
CEO & Co-Founder, Vayu Robotics
"As a company who provides video telematics solution to vehicles at scale, we need to ensure that our AI is working optimally and without issues across the whole spectrum of vehicles. RagaAI has been instrumental in helping us do this. Their wide range of offerings including A/B testing, pipeline testing, etc. at scale along with the committed support is accelerating us as a company to achieve the above goals."
Mithun Uliyar
Co-Founder & Head of Data Science, LightMetrics