Backed by Y Combinator

Run evals in minutes, not weeks.

Get instant insights and improve your agents automatically.

Evaluate

Identify issues faster through calibrated LLM judges that learn with every mistake. Teach it where it fails and it will become a better judge automatically.

Everything production AI teams need to iterate faster

Label production data effortlessly and find the best configuration for your agents.

Instant Tracing

Capture and label production traces in real-time. Tag good/bad responses, annotate edge cases, and build training datasets directly from live traffic.

Calibrated LLM Judges

Train LLM judges on your production data that only get better over time.

Autotune on model generations

Automatically improve your AI agents using human feedback. We give you insights on what the best model and prompts are for your agents.

How it works

Four simple steps to smarter AI agents

1

Set up with two lines of code

Install ZeroEval and initialize it in your application. Automatic instrumentation captures traces from OpenAI, Anthropic, LangChain, LangGraph, and LiveKit with more coming soon.

  • Get set up in minutes.
  • Automatic instrumentation with our Python and TypeScript SDKs.
$ pip install zeroeval
import zeroeval as ze

ze.init()
2

Create a calibrated LLM judge and identify behaviour patterns faster

Describe behaviours you want to surface. Teach the judge judge whether the sample is good or not and why. The more context you give it, the more reliable it becomes evaluating your production data.

3

Evaluate with different models, see how they stack up over time

Re-run your production traces with different models. Vote on the best ones and see how they stack up against each other over time. Automatically deploy the best performing model to production.

4

Give feedback on outputs and run prompt optimizations automatically

Get optimizated versions of your prompt based on the feedback. Re-run your production traces with new model to test for regressions.

Make your AI agents smarter.

Join teams using production data to continuously improve their AI agents