Confident AI

Confident AI is an evaluation and observability platform for teams building applications on large language models. It traces every model call and agent step in production, turns live traces into test cases, runs evaluations in development and in CI/CD pipelines, and adds red teaming and governance modules for catching vulnerabilities before release. The aim is a single quality standard applied across every AI team in an organization. It is built for engineers, product owners and QA teams working together, particularly in regulated industries where functional output is not enough. Engineers get LLM tracing, tool call analysis, latency and cost tracking and alerts on degradation. Product and QA staff get no code evaluation workflows, custom metrics, annotation queues, chat simulations and online evaluations on live traffic. Higher tiers add metric and dataset versioning, Git based prompt workflows, custom RBAC, SSO, on premises deployment, custom data residency and HIPAA support. Pricing is published. Free is $0 forever with 2 user seats, 1 project, 5 test runs per week and 1 GB month of trace spans. Starter is $200 per month with unlimited seats, 5 projects and 5 GB months of trace spans, then $1 per GB month ingested or retained. Team is $2,000 per month with unlimited projects, 75 GB months of trace spans and the same overage rate. Both paid tiers list evaluation model usage at roughly $0.05 per million input tokens and $0.40 per million output tokens, varying by model. Enterprise is custom priced and adds unlimited usage, dedicated 24x7 support and optional red teaming and governance modules. The pricing page includes a calculator for estimating tracing costs by volume and retention period.