Confident AI
Enterprise AI evaluation and observability platform for standardizing LLM quality across a
Confident AI is an AI quality platform that helps teams turn live production traces into test cases, evaluate AI applications, monitor traces in production, perform red teaming, and enforce governance policies. It provides product owners, engineers, and QA teams with a shared source of truth for AI quality across an organization.
The platform includes evaluations with DeepEval-powered metrics, observability and tracing, dataset auto-curation from traces, chat simulations, red teaming with risk assessment reports, and git-based prompt versioning. It integrates with model providers such as OpenAI, Claude, Gemini, Azure OpenAI, AWS Bedrock, and Vertex AI, frameworks including LangChain, LlamaIndex, CrewAI, and OpenTelemetry, and CI/CD systems like GitHub Actions, GitLab CI, and Jenkins. SDKs are available in Python and TypeScript, with MCP support for IDE workflows. Deployment can be self-hosted or cloud-based with regional data residency.
Confident AI is aimed at enterprise teams in regulated industries requiring AI governance and compliance. It is packaged as a free plan with limited seats and projects, paid Starter and Team plans with seat-based access and usage-based trace ingestion, and an Enterprise edition offering custom contracting, dedicated on-prem deployment, custom data residency, and access to the AI red teaming and AI governance modules.
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