Confident AI

Confident AI provides an end-to-end platform for teams to evaluate, monitor, and improve LLM applications using DeepEval-powered metrics and tracing. The platform supports single-turn and multi-turn evaluations, dataset curation and annotation, CI/CD unit testing, and production tracing to catch regressions and surface performance issues. Confident AI offers a hosted SaaS product plus options for on-prem deployment, enterprise compliance (HIPAA, SOC II), RBAC, and multi-data residency.

• LLM evaluation metrics — Choose from 30+ pre-built LLM-as-a-judge metrics to benchmark model and prompt quality for your use case.
• LLM tracing & observability — Trace runtime executions, track latency, cost, and errors, and run online/offline evaluations on traces.
• Dataset management — Create, annotate, and version evaluation datasets to run repeatable tests and experiments.
• CI/CD integration — Run unit-style LLM tests in CI to detect regressions before deployment.
• Human-in-the-loop feedback — Collect annotations and feedback via the UI to improve metrics and datasets.
• Enterprise features — On-prem hosting, RBAC, data masking, HIPAA and SOC II compliance, and configurable data residency.

Getting started: install or integrate DeepEval, select metrics for your use case, plug the evaluation into your app or CI pipeline, and run evaluations to generate reports and traces for debugging and iteration.