Test and Fix all LLM Issues!
Get your LLM applications ready 3X faster with RagaAI® Catalyst
RagaAI® Catalyst Enables Comprehensive Testing for RAG Applications
Meet RagaAI® Catalyst
RagaAI® Impact
Fixing Performance, Safety & Robustness Issues across LLM Applications
Fixing Performance, Safety & Robustness Issues across LLM Applications
Fixing Performance, Safety & Robustness Issues across LLM Applications
Fixing Performance, Safety & Robustness Issues across LLM Applications
RagaAI® Capabilities
One application to detect and fix issues across your LLM pipeline
One application to detect and fix issues across your LLM pipeline
One application to detect and fix issues across your LLM pipeline
Hallucination Detection
Utilize metrics such as Context Adherence and Contextual Relevance to identify and mitigate hallucination issues.
Explainability based hallucination detection by identifying source of the answer.
Add Relevant Guardrails
Establish guardrails for LLM prompts to prevent bias and adversarial attacks.
Ensure high-quality responses with guardrails such as Personally Identifiable Information (PII) detection and Toxicity.
Context Quality for RAGs
Utilize metrics such as Context Precision and Contextual Recall to assess the quality and impact of context retrieval.
Optimise context size and semantic representation to ensure high-quality results at low-cost and latency.
Get Started
Integrate with your existing pipeline in three easy steps
pip install ragaai_catalyst
from ragaai_catalyst import RagaAICatalyst, Dataset, Experiment
dataset = Dataset(...)
test_session = Experiment(...)
response = test_session.add_metrics(metrics=[{"name": "Hallucination" }, {"name": "Bias"} ]
pip install ragaai_catalyst
from ragaai_catalyst import RagaAICatalyst, Dataset, Experiment
dataset = Dataset(...)
test_session = Experiment(...)
response = test_session.add_metrics(metrics=[{"name": "Hallucination" }, {"name": "Bias"} ]
pip install ragaai_catalyst
from ragaai_catalyst import RagaAICatalyst, Dataset, Experiment
dataset = Dataset(...)
test_session = Experiment(...)
response = test_session.add_metrics(metrics=[{"name": "Hallucination" }, {"name": "Bias"} ]
pip install ragaai_catalyst
from ragaai_catalyst import RagaAICatalyst, Dataset, Experiment
dataset = Dataset(...)
test_session = Experiment(...)
response = test_session.add_metrics(metrics=[{"name": "Hallucination" }, {"name": "Bias"} ]
Step 1
Install RagaAICatalyst via 'pip'
Install RagaAICatalyst via 'pip'
Step 2
Load your data
Load your data
Step 3
Select out of the box tests and run
Select out of the box tests and run
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
"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
Connect to Content
Add layers or components to make infinite auto-playing slideshows.
Connect to Content
Add layers or components to make infinite auto-playing slideshows.
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
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