RagaAI Prism

Test and Fix all AI issues with traditional AI applications like computer vision, tabular data and audio processing and others.

Try RagaAI Prism

The Most Comprehensive AI Testing Platform

RagaAI offers 300+ tests to identify and fix every model, data and operational issues.

Powered by RagaAI DNA

A breakthough multi-modal foundation model built for AI Testing

RagaAI DNA is an advanced multi-modal foundation model specifically designed to revolutionize AI testing.

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Built to be Multi-Modal

LLM

Computer Vision

Tabular Data

Ensure quality performance across applications from Chatbots to RAG Systems.

Summarisation

Question Answering

Information Retrival

Content Creation

Built to be Multi-Modal

LLM

Tabular

Ensure quality performance across applications from Chatbots to RAG Systems.

Summarisation

Question Answering

Information Retrival

Content Creation

Built to be Multi-Modal

LLM

Computer Vision

Tabular Data

Ensure quality performance across applications from Chatbots to RAG Systems.

Summarisation

Question Answering

Information Retrival

Content Creation

Built to be Multi-Modal

LLM

Computer Vision

Tabular Data

Ensure quality performance across applications from Chatbots to RAG Systems.

Summarisation

Question Answering

Information Retrival

Content Creation

Built to be Multi-Modal

LLM

Tabular

Ensure quality performance across applications from Chatbots to RAG Systems.

Summarisation

Question Answering

Information Retrival

Content Creation

Built to be Multi-Modal

LLM

Tabular

Ensure quality performance across applications from Chatbots to RAG Systems.

Summarisation

Question Answering

Information Retrival

Content Creation

Built to be Multi-Modal

LLM

Tabular

Debug and fix AI applications running at scale from Finance to E-Commerce.

Regression

Multi Class Classification

Time Series Forecasting

Ranking

Get Started with RagaAI

Integrate with your existing pipeline in three easy steps

pip install raga-testing-platform 
test_ds = Dataset( ... ) 
test_ds.load()
test_suite = TestSession( ... )  
test_suite.add(data_drift_detection,failure_mode_analysis)     
test_suite.run(test_ds)

pip install raga-testing-platform 
test_ds = Dataset( ... ) 
test_ds.load()
test_suite = TestSession( ... )  
test_suite.add(data_drift_detection,failure_mode_analysis)     
test_suite.run(test_ds)

pip install raga-testing-platform 
test_ds = Dataset( ... ) 
test_ds.load()
test_suite = TestSession( ... )  
test_suite.add(data_drift_detection,failure_mode_analysis)     
test_suite.run(test_ds)

pip install raga-testing-platform 
test_ds = Dataset( ... ) 
test_ds.load()
test_suite = TestSession( ... )  
test_suite.add(data_drift_detection,failure_mode_analysis)     
test_suite.run(test_ds)

pip install raga-testing-platform 
test_ds = Dataset( ... ) 
test_ds.load()
test_suite = TestSession( ... )  
test_suite.add(data_drift_detection,failure_mode_analysis)     
test_suite.run(test_ds)

pip install raga-testing-platform 
test_ds = Dataset( ... ) 
test_ds.load()
test_suite = TestSession( ... )  
test_suite.add(data_drift_detection,failure_mode_analysis)     
test_suite.run(test_ds)