Adaptable pricing that evolves with your needs — from initial exploration to enterprise scale.
Unlimited advanced everything.
For high-scale, enhanced security, and compliance needs.
Confident AI offers the cheapest tracing on the market starting from $1/GB-month. This is at least 3 times cheaper than alternatives, and you can adjust retention without limits.
A full breakdown of what's included in each plan, module by module.
Free | Starter | Premium | Team | Enterprise | |
|---|---|---|---|---|---|
Experimentation | |||||
Sharable testing reports Share eval results with your team via links | |||||
AI arena Run evals on prompts and AI apps | |||||
Regression testing Catch breaking changes by comparing test runs | |||||
Chat simulations Simulate multi-turn conversations against your chatbot | |||||
No-code eval workflows | |||||
Evaluate live AI apps via APIs Run evals against live endpoints, no code required | |||||
Advanced authroization for AI APIs Authenticate eval requests with custom headers and secrets | |||||
Pre-evaluation data transformers Reshape API responses before they are evaluated | |||||
Dataset management | |||||
Dataset annotation on the cloud Create and edit goldens directly on the platform | |||||
Auto-curate from traces Turn production traces into evaluation datasets | |||||
Scheduled dataset runs Run evals against datasets on a recurring schedule | |||||
Dataset backup and version history Snapshot datasets and roll back anytime | |||||
Custom synthetic data generation Generate synthetic goldens tailored to your use case | |||||
Metrics | |||||
Single-turn metrics 30+ research-backed single-turn DeepEval metrics | |||||
Multi-turn metrics 15+ multi-turn DeepEval metrics for entire conversations | |||||
Custom G-Eval metrics Define evaluation criteria in natural language | |||||
Code-eval metrics Deterministic, code-based metrics for custom logic | |||||
Metric versioning Track how metric definitions change over time | |||||
Annotations | |||||
Thumbs up or down One-click feedback on any trace or response | |||||
Annotation queues Focused view for annotating test cases, traces, spans, and threads | |||||
Custom criteria Annotate against your own evaluation criteria | |||||
Custom annotation forms Build tailored forms for human review workflows | |||||
Prompt management | |||||
Prompt versioning and labeling Version prompts and label them for environments | |||||
Pre-commit evals on prompts Require passing evals before a prompt version ships | |||||
Git-based prompt branching Branch and merge prompts like code | |||||
Prompt approval workflows Require reviews before prompt changes go live | |||||
Prompt pull requests Propose, review, and merge prompt changes | |||||
FinomBefore Confident AI, a single improvement cycle took 10 days — I'd create a task, assign it to an engineer, wait for availability, and go back and forth. Now the same cycle takes three hours, and our product managers can run it themselves.
Confident AI saves us 480+ hours of manual AI evaluation every month — and gives us the data to defend every quality decision in front of engineering, product, and leadership.
Confident AI gave our team one place to turn production failures into datasets, align metrics, and keep regressions out of releases without waiting on custom engineering work.
HumachWe run a lot of large-scale, multi-turn simulations, and Confident AI made it far easier to design scenarios and execute those tests without piecing together external tools.
Thanks to Confident AI, we were able to move to a fine-tuned model and cut our LLM costs by 80%. This opens up whole new use cases now to generate better output with more targeted LLM calls.
Checkout our FAQs below, or talk to a human. They won't hallucinate.