# Plurai

> Generate and deploy custom AI agent evals without labeled data

Plurai lets developers define what their AI agent should and should not do in plain language, then automatically generates training data, validates it, and deploys a custom evaluation and guardrail model. It uses small language models to achieve sub-100ms latency and significantly lower cost than GPT-as-judge approaches. Built on published research (BARRED), it targets teams needing always-on reliability monitoring without annotation pipelines.

## At a glance

- **Company**: Plurai
- **Homepage**: https://www.producthunt.com/r/2SG5VACZQUBMO7?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+claude+access+%28ID%3A+284460%29
- **Pricing**: unknown
- **API available**: Yes
- **Self-hostable**: No
- **Launched**: 2026-04
- **Last verified**: 2026-05-10

## Categories

- agents
- developer-platforms
- data


## Capabilities

- fine-tuning
- guardrails
- automated-evaluation
- synthetic-data-generation
- low-latency-inference


## Alternatives




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Source: https://inforelay.ai/tools/plurai/
Index: https://inforelay.ai/llms.txt