Confident AI
LLM evaluation and observability platform powered by open-source DeepEval framework.
Updated April 2026
Overview
- Website
- confident-ai.com
- Segment
- Evaluation & Testing
Product overview
Confident AI builds a cloud platform for evaluating, monitoring, and improving LLM applications throughout development and production, with features like tracing, regression testing, red teaming, and no-code workflows for cross-functional teams.. It is used by enterprises including BCG, AstraZeneca, Microsoft, OpenAI, and Google for RAG, agents, chatbots, and more. Distinct for its DeepEval integration (13k+ GitHub stars), span-level agent evaluation, cheapest tracing at $1/GB-month, and enterprise compliance like HIPAA/SOC2 with self-hosting.
Revenue model
Freemium SaaS with Free tier; paid self-serve Starter ($19.99/user/mo), Premium ($49.99/user/mo) plus usage overages ($1/GB-month traces, $1/1k eval runs); custom Team/Enterprise pricing.
Moat
- Proprietary Technology
- Scale Advantages
- Switching Costs
Confident AI's key competitive moat is its comprehensive, evals-first platform powered by the open-source DeepEval framework, offering superior support for all LLM evaluation types including multi-turn, RAG, agents, red teaming, and simulations with an intuitive UI that enables non-technical teams to run evaluations without engineering bottlenecks.