The platform where your evals, observability, and red teaming stop being workflows teams hope to run — and instead controls they can't ship without.
Translate your standards into controls that can be checked — operational, runtime, and pre-deployment. "Ready to ship" stops being an opinion.
Group controls into a policy you own — not a borrowed framework. Staging and Production each carry their own bar to clear.
Controls re-evaluate across every project on a schedule. Compliance becomes continuous — not a scramble before the next review.
One report covers every project, its status, and its owner. Gaps surface early, with a name beside them.
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.