Observe, Evaluate and Debug AI Agents
Introducing RagaAI AgentNeo: Evaluate all stages of Agentic AI workflows and deploy with confidence.
Features
Features of AgentNeo
AgentNeo is an advanced, open-source Agentic AI Application Observability, Monitoring, and Evaluation Framework. Designed to elevate your AI development experience.
AgentNeo is an advanced, open-source Agentic AI Application Observability, Monitoring, and Evaluation Framework. Designed to elevate your AI development experience.
Observe
Visualize trace data and execution graphs in a user-friendly dashboard.
Observe
Visualize trace data and execution graphs in a user-friendly dashboard.
Observe
Visualize trace data and execution graphs in a user-friendly dashboard.
Observe
Visualize trace data and execution graphs in a user-friendly dashboard.
Observe
Visualize trace data and execution graphs in a user-friendly dashboard.
Observe
Visualize trace data and execution graphs in a user-friendly dashboard.
Observe
Visualize trace data and execution graphs in a user-friendly dashboard.
Observe
Visualize trace data and execution graphs in a user-friendly dashboard.
Observe
Visualize trace data and execution graphs in a user-friendly dashboard.
Evaluate
Enhance AI performance with built-in evaluation tools.
Evaluate
Enhance AI performance with built-in evaluation tools.
Evaluate
Enhance AI performance with built-in evaluation tools.
Evaluate
Enhance AI performance with built-in evaluation tools.
Evaluate
Enhance AI performance with built-in evaluation tools.
Evaluate
Enhance AI performance with built-in evaluation tools.
Evaluate
Enhance AI performance with built-in evaluation tools.
Evaluate
Enhance AI performance with built-in evaluation tools.
Evaluate
Enhance AI performance with built-in evaluation tools.
Debug
Instrument and monitor tools and agents for deeper insights.
Debug
Instrument and monitor tools and agents for deeper insights.
Debug
Instrument and monitor tools and agents for deeper insights.
Debug
Instrument and monitor tools and agents for deeper insights.
Debug
Instrument and monitor tools and agents for deeper insights.
Debug
Instrument and monitor tools and agents for deeper insights.
Debug
Instrument and monitor tools and agents for deeper insights.
Debug
Instrument and monitor tools and agents for deeper insights.
Debug
Instrument and monitor tools and agents for deeper insights.
Trace
Trace
Trace
Trace
Trace
Trace
Trace
Trace
Trace
Comprehensive Agent Call Tracing for an enhanced view of the projects.
Comprehensive Agent Call Tracing for an enhanced view of the projects.
Comprehensive Agent Call Tracing for an enhanced view of the projects.
Comprehensive Agent Call Tracing for an enhanced view of the projects.
Comprehensive Agent Call Tracing for an enhanced view of the projects.
Comprehensive Agent Call Tracing for an enhanced view of the projects.
Comprehensive Agent Call Tracing for an enhanced view of the projects.
Comprehensive Agent Call Tracing for an enhanced view of the projects.
Comprehensive Agent Call Tracing for an enhanced view of the projects.
Monitor agent activity
Monitor agent activity
Monitor agent activity
Monitor agent activity
Monitor agent activity
Monitor agent activity
Monitor agent activity
Monitor agent activity
Monitor agent activity
Compare trace results
Compare trace results
Compare trace results
Compare trace results
Compare trace results
Compare trace results
Compare trace results
Compare trace results
Compare trace results
Visualize execution paths
Visualize execution paths
Visualize execution paths
Visualize execution paths
Visualize execution paths
Visualize execution paths
Visualize execution paths
Visualize execution paths
Visualize execution paths
Track call details
Track call details
Track call details
Track call details
Track call details
Track call details
Track call details
Track call details
Track call details
Experiment
Experiment
Experiment
Experiment
Experiment
Experiment
Experiment
Experiment
Experiment
Compare traces across your project based on key metrics like average response time, total tokens used, overall cost, memory usage, and tool call frequency.
Compare traces across your project based on key metrics like average response time, total tokens used, overall cost, memory usage, and tool call frequency.
Compare traces across your project based on key metrics like average response time, total tokens used, overall cost, memory usage, and tool call frequency.
Compare traces across your project based on key metrics like average response time, total tokens used, overall cost, memory usage, and tool call frequency.
Compare traces across your project based on key metrics like average response time, total tokens used, overall cost, memory usage, and tool call frequency.
Compare traces across your project based on key metrics like average response time, total tokens used, overall cost, memory usage, and tool call frequency.
Compare traces across your project based on key metrics like average response time, total tokens used, overall cost, memory usage, and tool call frequency.
Compare traces across your project based on key metrics like average response time, total tokens used, overall cost, memory usage, and tool call frequency.
Compare traces across your project based on key metrics like average response time, total tokens used, overall cost, memory usage, and tool call frequency.
Improved Monitoring
Improved Monitoring
Improved Monitoring
Improved Monitoring
Improved Monitoring
Improved Monitoring
Improved Monitoring
Improved Monitoring
Improved Monitoring
Cost Optimization
Cost Optimization
Cost Optimization
Cost Optimization
Cost Optimization
Cost Optimization
Cost Optimization
Cost Optimization
Cost Optimization
Resource Efficiency
Resource Efficiency
Resource Efficiency
Resource Efficiency
Resource Efficiency
Resource Efficiency
Resource Efficiency
Resource Efficiency
Resource Efficiency
Enhanced Debugging
Enhanced Debugging
Enhanced Debugging
Enhanced Debugging
Enhanced Debugging
Enhanced Debugging
Enhanced Debugging
Enhanced Debugging
Enhanced Debugging
Evaluate
Evaluate
Evaluate
Evaluate
Evaluate
Evaluate
Evaluate
Evaluate
Evaluate
Thoroughly assess and enhance your AI agent's performance with a range of integrated evaluation tools designed to provide detailed insights and optimization opportunities.
Thoroughly assess and enhance your AI agent's performance with a range of integrated evaluation tools designed to provide detailed insights and optimization opportunities.
Thoroughly assess and enhance your AI agent's performance with a range of integrated evaluation tools designed to provide detailed insights and optimization opportunities.
Thoroughly assess and enhance your AI agent's performance with a range of integrated evaluation tools designed to provide detailed insights and optimization opportunities.
Thoroughly assess and enhance your AI agent's performance with a range of integrated evaluation tools designed to provide detailed insights and optimization opportunities.
Thoroughly assess and enhance your AI agent's performance with a range of integrated evaluation tools designed to provide detailed insights and optimization opportunities.
Thoroughly assess and enhance your AI agent's performance with a range of integrated evaluation tools designed to provide detailed insights and optimization opportunities.
Thoroughly assess and enhance your AI agent's performance with a range of integrated evaluation tools designed to provide detailed insights and optimization opportunities.
Thoroughly assess and enhance your AI agent's performance with a range of integrated evaluation tools designed to provide detailed insights and optimization opportunities.
Higher Success Rates
Higher Success Rates
Higher Success Rates
Higher Success Rates
Higher Success Rates
Higher Success Rates
Higher Success Rates
Higher Success Rates
Higher Success Rates
Effective Tasking
Effective Tasking
Effective Tasking
Effective Tasking
Effective Tasking
Effective Tasking
Effective Tasking
Effective Tasking
Effective Tasking
Goal Achievement
Goal Achievement
Goal Achievement
Goal Achievement
Goal Achievement
Goal Achievement
Goal Achievement
Goal Achievement
Goal Achievement
Precise Tooling
Precise Tooling
Precise Tooling
Precise Tooling
Precise Tooling
Precise Tooling
Precise Tooling
Precise Tooling
Precise Tooling
Overview
View a comprehensive overview of system information, project details, execution timeline, and performance graphs.
View a comprehensive overview of system information, project details, execution timeline, and performance graphs.
View a comprehensive overview of system information, project details, execution timeline, and performance graphs.
View a comprehensive overview of system information, project details, execution timeline, and performance graphs.
View a comprehensive overview of system information, project details, execution timeline, and performance graphs.
View a comprehensive overview of system information, project details, execution timeline, and performance graphs.
View a comprehensive overview of system information, project details, execution timeline, and performance graphs.
View a comprehensive overview of system information, project details, execution timeline, and performance graphs.
View a comprehensive overview of system information, project details, execution timeline, and performance graphs.
Real-Time Insights
Real-Time Insights
Real-Time Insights
Real-Time Insights
Real-Time Insights
Real-Time Insights
Real-Time Insights
Real-Time Insights
Real-Time Insights
Streamlined Efficiency
Streamlined Efficiency
Streamlined Efficiency
Streamlined Efficiency
Streamlined Efficiency
Streamlined Efficiency
Streamlined Efficiency
Streamlined Efficiency
Streamlined Efficiency
Comprehensive Analysis
Comprehensive Analysis
Comprehensive Analysis
Comprehensive Analysis
Comprehensive Analysis
Comprehensive Analysis
Comprehensive Analysis
Comprehensive Analysis
Comprehensive Analysis
Enhanced Productivity
Enhanced Productivity
Enhanced Productivity
Enhanced Productivity
Enhanced Productivity
Enhanced Productivity
Enhanced Productivity
Enhanced Productivity
Enhanced Productivity
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
What Our Partners Say
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
Recommended Resources
Get Started With RagaAI®
Book a Demo
Schedule a call with AI Testing Experts
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
Features
Features of AgentNeo
AgentNeo is an advanced, open-source Agentic AI Application Observability, Monitoring, and Evaluation Framework. Designed to elevate your AI development experience.
Trace
Comprehensive Agent Call Tracing for an enhanced view of the projects.
Monitor agent activity
Monitor agent activity
Compare trace results
Compare trace results
Visualize execution paths
Visualize execution paths
Track call details
Track call details
Experiment
Compare traces across your project based on key metrics like average response time, total tokens used, overall cost, memory usage, and tool call frequency.
Improved Monitoring
Improved Monitoring
Cost Optimization
Cost Optimization
Resource Efficiency
Resource Efficiency
Enhanced Debugging
Enhanced Debugging
Evaluate
Thoroughly assess and enhance your AI agent's performance with a range of integrated evaluation tools designed to provide detailed insights and optimization opportunities.
Higher Success Rates
Higher Success Rates
Effective Tasking
Effective Tasking
Goal Achievement
Goal Achievement
Precise Tooling
Precise Tooling
Overview
View a comprehensive overview of system information, project details, execution timeline, and performance graphs.
Real-Time Insights
Real-Time Insights
Streamlined Efficiency
Streamlined Efficiency
Comprehensive Analysis
Comprehensive Analysis
Enhanced Productivity
Enhanced Productivity