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Omri Selaleft a comment
We talked to hundreds of AI teams before building this. The same thing kept coming up: evals are on the roadmap, always. They just never get done. Too slow, too expensive, someone needs to label data, someone needs to set up a pipeline, and suddenly it's a Q3 project that rolls into Q4. That's the problem we actually solves. Describe what your agent should and shouldn't do, and you have a...

PluraiVibe-train evals and guardrails tailored to your use case
Vibe training for AI agent reliability. Describe what your agent should and should not do — Plurai generates training data, validates it, and deploys a custom model in minutes. It feels like vibe coding, but for evaluation and guardrails.
No labeled data. No annotation pipeline. No prompt engineering. Under the hood, small language models deliver sub 100ms latency, 8x lower cost than GPT as judge, and over 43% fewer failures. Always on, not sampled. Built on published research (BARRED).

PluraiVibe-train evals and guardrails tailored to your use case

