Confident AI is a cloud-based AI quality platform built by the creators of DeepEval. It provides a unified workspace for engineering, product, and QA teams to evaluate, observe, and improve LLM applications from prototyping through production. Key capabilities include LLM tracing with full context (inputs, outputs, tool calls, latency, token cost), automatic dataset curation from production traces, no-code endpoint testing, multi-turn chat simulations, AI risk assessments with PDF reports, and git-based prompt versioning with merge gates. The platform integrates with 20+ tools and frameworks including OpenAI, LangChain, LlamaIndex, LangGraph, and OpenTelemetry. It supports HIPAA and SOC 2 Type II compliance, multi-data residency (US and EU), RBAC, data masking, on-prem deployment, and a 99.9% uptime SLA. Teams can get started in under 15 minutes by installing the DeepEval SDK and adding a few lines of code.
Key Benefits
- Turn production traces into evaluation datasets automatically
- No-code evaluation and testing for non-engineers
- SOC 2 Type II and HIPAA compliant
- On-premise or cloud deployment with RBAC and data masking