Confident AI

About Confident AI

Confident AI is the hosted platform built by the maintainers of DeepEval, the open-source LLM evaluation framework, and DeepTeam, its red-teaming counterpart. The premise is that once an organisation runs more than one AI product, every team invents its own eval stack, and the resulting quality bar is whatever each team decided it was. Confident AI centralises that: research-backed metrics for benchmarking LLM systems, datasets held in the cloud rather than in someone's notebook, unit and regression testing that runs in CI/CD, and prompt versioning so a change to a prompt is a reviewable event. The observability half traces production LLM calls, runs online evals and classifications against live traffic, and alerts in real time when a metric degrades — with annotation queues and workflows for turning a bad live trace into a permanent test case, which is the loop the product is really selling. Red teaming stress-tests applications against adversarial attacks, and an AI governance layer enforces standards and controls across teams. The open-source frameworks stay usable standalone, so the paid platform is the collaboration, retention and enforcement layer on top rather than the evaluation engine itself. Pricing is published in full including the trace-ingest overage rate, which is rare for an observability product.

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