About Confident AI
Confident AI is a platform for evaluating and monitoring AI applications across an organization. It brings engineers, product managers, QA staff and domain experts into one workspace to agree on what good output looks like.
What it does
The platform evaluates production traces, groups failures into issues and sends alerts when something goes wrong. Failing traces can be turned into test cases, so each release is checked against past problems before it ships. Teams can add custom metrics, including G-Eval scoring, and let experts review traces. The company also maintains DeepEval, an open source evaluation framework under the Apache-2.0 license.
Key features
- Evaluate and monitor production traces
- Group failures into issues and send alerts
- Turn failing traces into test cases
- Review traces with product and domain experts
- Custom metrics such as G-Eval scoring
Who it's for
The platform suits engineering and QA teams with several AI products that need one standard for measuring quality. A single developer working on one small app may find the open source framework easier to start with.
Pricing and good to know
The site has a pricing page and a sign-up option. Enterprise contracts are arranged through sales. Monitoring depends on evaluation runs, so the cost and load grow with the number of traces you check.
Highlights
- Evaluate and monitor production traces
- Group failures into issues and send alerts
- Turn failing traces into test cases
- Review traces with product and domain experts
- Custom metrics such as G-Eval scoring
