Relari (YC W24)

relari.ai

Testing, Evaluation and Synthetic Data for AI Agents

Description

Robot dexterity, learned from human biomechanics. · Relari pairs video demonstrations with surface electromyography (EMG) to study how human biomechanics can unlock force-aware, dexterous robot manipulation. · EMG captures force signals hidden in videos. · Force supervision, at scale · A foundation model built from human dexterity.

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.

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

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

Specs

Type	Agent
Section	Infrastructure & MLOps
Pricing	paid
Platform	Web only
Systems	web
Site language	en
Rating	0.00 (0 reviews)
Views	3 650
Launched	2025-01-01

Can do

Platforms

Tags

Hashtags

agent #vision #observability

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Source code

Found in sources

aiagentsdirectory moge

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