Run automated test suites, catch hallucinations before they reach users, and plug AI quality checks straight into your CI/CD pipeline.
Write test cases once. Run them on every model version, every prompt change, every deployment. Confident AI tracks regressions automatically so you don't catch them in production.
Supports custom metrics, LLM-as-a-judge scoring, and golden dataset comparisons out of the box.
Models lie. Confidently. Our detection layer checks factual grounding, source attribution, and logical consistency on every response your model produces.
Configurable thresholds let you decide what passes and what gets flagged — before users see it.
Drop a webhook into your pipeline. Confident AI runs your full evaluation suite on every PR, blocks failing merges, and posts results directly to Slack or GitHub.
Works with GitHub Actions, GitLab CI, Jenkins, and any webhook-capable deployment system.
No long onboarding. Most teams run their first evaluation suite within 30 minutes.
Point Confident AI at your model endpoint. Supports OpenAI-compatible APIs, Anthropic, Mistral, and any self-hosted model.
Write test cases in plain Python or YAML. Define what "correct" looks like for your use case — factual, safe, on-brand, or all three.
Add a single CI step. Every model change triggers a full test run. Results post back to your PR before any merge happens.
Green tests mean your model behaves. Merge. Deploy. Your users get the version you actually tested — not a surprise.
Reduction in hallucination incidents after adding automated evaluation to their release pipeline. Fewer angry users. Fewer rollbacks.
Faster model iteration cycles. Teams that used to spend days on manual review now get eval results in minutes per PR.
Of active teams run Confident AI in CI. Once it catches a production regression before it ships, it never gets removed from the pipeline.
Free 14-day trial. No credit card. Connect your first model in under 10 minutes.
Confident AI