Confident AI

Engineering teams shipping LLM applications and needing a way to prove each change actually helped will find Confident AI aimed squarely at them.

Confident AI is an LLM evaluation platform built by the creators of DeepEval, the open-source evaluation framework it works with.

It supports any use case.

The platform offers 14+ metrics for running LLM experiments, plus dataset management, performance monitoring and a way to bring human feedback into the loop.

Tracing is part of the package, so you can see what happened inside an application when a test fails.

Teams also use it to curate datasets, align metrics with their own judgement and automate LLM testing instead of checking outputs by hand.

The pitch is practical: save time, cut inference costs, and have evidence to show stakeholders that an AI system is getting better.

It is opinionated about how evaluation should be done, which suits teams that want a defined workflow, and matters less if you prefer to assemble your own testing setup.