Features
Features of RagaAI Catalyst
A Comprehensive platform to evaluate, analyze, and improve the performance of Agentic systems
A Comprehensive platform to evaluate, analyze, and improve the performance of Agentic systems
A Comprehensive platform to evaluate, analyze, and improve the performance of Agentic systems
A Comprehensive platform to evaluate, analyze, and improve the performance of Agentic systems
A Comprehensive platform to evaluate, analyze, and improve the performance of Agentic systems
Trace
Trace
Trace
Trace
Trace
Identify improvements, regressions, or anomalies across traces.
Identify improvements, regressions, or anomalies across traces.
Identify improvements, regressions, or anomalies across traces.
Identify improvements, regressions, or anomalies across traces.
Identify improvements, regressions, or anomalies across traces.
Identify improvements, regressions, or anomalies across traces.
Automatically generate detailed traces for each experiment, capturing every decision point, task execution, and outcome.
Automatically generate detailed traces for each experiment, capturing every decision point, task execution, and outcome.
Automatically generate detailed traces for each experiment, capturing every decision point, task execution, and outcome.
Automatically generate detailed traces for each experiment, capturing every decision point, task execution, and outcome.
Automatically generate detailed traces for each experiment, capturing every decision point, task execution, and outcome.
Automatically generate detailed traces for each experiment, capturing every decision point, task execution, and outcome.
Highlights differences in attributes such as inputs, outputs, metadata, or evaluation scores.
Highlights differences in attributes such as inputs, outputs, metadata, or evaluation scores.
Highlights differences in attributes such as inputs, outputs, metadata, or evaluation scores.
Highlights differences in attributes such as inputs, outputs, metadata, or evaluation scores.
Highlights differences in attributes such as inputs, outputs, metadata, or evaluation scores.
Highlights differences in attributes such as inputs, outputs, metadata, or evaluation scores.
Experiment
Experiment
Experiment
Experiment
Experiment
Compare multiple experiments to identify trends, inconsistencies, and performance bottlenecks.
Compare multiple experiments to identify trends, inconsistencies, and performance bottlenecks.
Compare multiple experiments to identify trends, inconsistencies, and performance bottlenecks.
Compare multiple experiments to identify trends, inconsistencies, and performance bottlenecks.
Compare multiple experiments to identify trends, inconsistencies, and performance bottlenecks.
Compare multiple experiments to identify trends, inconsistencies, and performance bottlenecks.
Perform versioning to track changes and analyse how different code versions impact performance.
Perform versioning to track changes and analyse how different code versions impact performance.
Perform versioning to track changes and analyse how different code versions impact performance.
Perform versioning to track changes and analyse how different code versions impact performance.
Perform versioning to track changes and analyse how different code versions impact performance.
Perform versioning to track changes and analyse how different code versions impact performance.
Drill down into granular experiment details to uncover root causes of performance issues.
Drill down into granular experiment details to uncover root causes of performance issues.
Drill down into granular experiment details to uncover root causes of performance issues.
Drill down into granular experiment details to uncover root causes of performance issues.
Drill down into granular experiment details to uncover root causes of performance issues.
Drill down into granular experiment details to uncover root causes of performance issues.
Evaluate
Evaluate
Evaluate
Evaluate
Evaluate
Utilize powerful tools for evaluation during development, CI/CD, or production stages, enabling continuous improvement and optimization.
Utilize powerful tools for evaluation during development, CI/CD, or production stages, enabling continuous improvement and optimization.
Utilize powerful tools for evaluation during development, CI/CD, or production stages, enabling continuous improvement and optimization.
Utilize powerful tools for evaluation during development, CI/CD, or production stages, enabling continuous improvement and optimization.
Utilize powerful tools for evaluation during development, CI/CD, or production stages, enabling continuous improvement and optimization.
Utilize powerful tools for evaluation during development, CI/CD, or production stages, enabling continuous improvement and optimization.
Gain deep visibility into your AI's execution flow with detailed insights into LLM calls, tool interactions, and agent decision-making processes.
Gain deep visibility into your AI's execution flow with detailed insights into LLM calls, tool interactions, and agent decision-making processes.
Gain deep visibility into your AI's execution flow with detailed insights into LLM calls, tool interactions, and agent decision-making processes.
Gain deep visibility into your AI's execution flow with detailed insights into LLM calls, tool interactions, and agent decision-making processes.
Gain deep visibility into your AI's execution flow with detailed insights into LLM calls, tool interactions, and agent decision-making processes.
Gain deep visibility into your AI's execution flow with detailed insights into LLM calls, tool interactions, and agent decision-making processes.
An advanced Code diff feature that has seamless trace visualization, allowing you to identify discrepancies, track changes, and analyze variations with precision.
An advanced Code diff feature that has seamless trace visualization, allowing you to identify discrepancies, track changes, and analyze variations with precision.
An advanced Code diff feature that has seamless trace visualization, allowing you to identify discrepancies, track changes, and analyze variations with precision.
An advanced Code diff feature that has seamless trace visualization, allowing you to identify discrepancies, track changes, and analyze variations with precision.
An advanced Code diff feature that has seamless trace visualization, allowing you to identify discrepancies, track changes, and analyze variations with precision.
An advanced Code diff feature that has seamless trace visualization, allowing you to identify discrepancies, track changes, and analyze variations with precision.
Overview
View actionable insights through an intuitive analysis dashboard.
View actionable insights through an intuitive analysis dashboard.
View actionable insights through an intuitive analysis dashboard.
View actionable insights through an intuitive analysis dashboard.
View actionable insights through an intuitive analysis dashboard.
View actionable insights through an intuitive analysis dashboard.
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.
Our advanced analytics provide a clear, data-driven overview, helping you track performance, identify patterns, and make informed decisions effortlessly.
Our advanced analytics provide a clear, data-driven overview, helping you track performance, identify patterns, and make informed decisions effortlessly.
Our advanced analytics provide a clear, data-driven overview, helping you track performance, identify patterns, and make informed decisions effortlessly.
Our advanced analytics provide a clear, data-driven overview, helping you track performance, identify patterns, and make informed decisions effortlessly.
Our advanced analytics provide a clear, data-driven overview, helping you track performance, identify patterns, and make informed decisions effortlessly.
Our advanced analytics provide a clear, data-driven overview, helping you track performance, identify patterns, and make informed decisions effortlessly.
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
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
RagaAI's Slack Community
RagaAI's Slack Community
Join our Slack community for the most latest updates and support.
Join our Slack community for the most latest updates and support.
