Build self-improving software.
ZeroEval is a platform to measure the quality of AI agents through human feedback.
Search across all traces
Run a deep search across all of your traces and find the root cause of any issue.
Run experiments with production data
Write tasks and evaluators, wrap them in experiments, and run on your datasets.
Test before you ship
Iterate on prompts and compare outputs before shipping to production through our playground.
Search across all traces
Run a deep search across all of your traces and find the root cause of any issue.
Everything production AI teams need
Search traces, track performance, and test improvements over time.
Instant Tracing
Inspect every request and response with <0.5s ingestion time. See latency, tokens, and errors in real-time.
Run Experiments
Write tasks and evaluators, then run experiments on your datasets locally or in the cloud.
Live Performance Alerts
Catch latency, accuracy, or cost regressions the moment they happen through our alerts webhook.
Calibrated LLM Judges
LLM judges are unreliable, but we offer you a way to create trusted judges that only improve over time.
How it works
Four simple steps to smarter AI systems
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.
ze.init()
Start seeing your traces come through
All of your production data will be sent to the platform where you'll be able to figure out exactly how your users are using your AI product. Monitor latency, costs, and user interactions in real-time.
- ✓Real-time trace visualization
- ✓Automatic cost and latency tracking for LLMs and voice agents.
- ✓End-to-end tracing through user sessions.
Create datasets and run experiments
Pull (or create) versioned datasets, write tasks that map rows to model outputs, and add evaluators to score results. Run experiments locally or in the cloud.
- ✓Dataset version control
- ✓Support for multimodal datasets (text, images, audio, video)
Run deep search across your traces
Figure out exactly when and how your AI products are failing. Use natural language to describe what you're looking for, provide examples, and we'll search across all your traces to find exact flows that match that behavior.
"Find all conversations where users asked about pricing but didn't get a clear answer"
Make your AI agents smarter.
Join teams using production data to continuously improve their AI systems