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HomeAI for software engineering RagaAI
 RagaAI

RagaAI

AI testing and observability platform for reliable AI systems

Screenshot 2026-04-15 141420

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Overview

RagaAI is an end-to-end platform designed to test, monitor, and optimize AI systems across the entire lifecycle. It supports multiple AI modalities including large language models (LLMs), computer vision, NLP, and tabular data. The platform provides automated testing, root cause analysis, and guardrails to detect and fix issues before deployment. Its suite includes tools like Catalyst for LLM testing, Prism for data quality, and Canvas for building agent workflows. By combining observability, debugging, and feedback loops, RagaAI enables enterprises to accelerate AI development while reducing risk and improving performance.

Who It's For

AI Engineers, Data Scientists, ML Teams, Enterprises, AI Product Teams

Key Strengths

End-to-end AI testingMulti-modal supportAutomated debuggingEnterprise-ready

Primary Use Cases

Testing and validation of AI/ML models
Debugging LLM and agent workflows
Monitoring AI performance in production
Enforcing AI safety and guardrails
Improving model accuracy and reliability

Technical Specifications

Supported AI Models

LLMsComputer VisionNLP

Deployment Methods

Cloud

Supported Languages

English

Company Information

Location

San Francisco, USA

Company Size

51-200 employees

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