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Testing, Evaluation and Synthetic Data for AI Agents

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Relari (YC W24) Overview

Relari is a platform that helps AI teams simulate, test, and validate complex Generative AI applications throughout the development lifecycle. It offers modular evaluation, synthetic data generation, and performance monitoring tools to improve the reliability and efficiency of AI systems, particularly for mission-critical use cases. Define test cases for agents in natural language using Agent Contracts. Expand test cases by 100x with Synthetic Data Generation. Pinpoint issues and effortless improve your Agentic application.

Relari (YC W24) Key Features

Modular evaluation framework with 30+ open-source metrics
Synthetic test-set generators
Online monitoring tools
Custom evaluators trained on user feedback
Continuous evaluation for AI pipelines

Relari (YC W24) Use Cases

Pinpointing root causes of problems in LLM applications
Simulating user behavior for AI system testing
Accelerating AI development with synthetic data
Stress testing GenAI applications before deployment
Improving reliability of complex AI systems in finance, enterprise search, and compliance
Pricing
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