# [Confident AI](https://confident-ai.com/): Observability, Prompts & Evals Founded 2024|San Francisco, California, USA|7 employees|Open Source ## What is Confident AI? Confident AI is a Y Combinator-backed AI quality platform that enables engineers, QA teams, and product leaders to build reliable AI systems through comprehensive LLM evaluation and observability capabilities. The platform combines 30+ LLM-as-a-judge metrics for testing and validation with real-time production alerts and tracing capabilities. Teams can perform component-level analysis to evaluate individual pipeline components granularly, integrate regression testing into CI/CD pipelines to prevent LLM performance degradation, and leverage built-in dataset management tools for curation and editing. The platform is built on top of the popular open-source DeepEval framework with 10,000+ GitHub stars and 100,000+ monthly documentation reads. Confident AI offers enterprise-grade features including HIPAA and SOC 2 compliance, multi-data residency in US and EU, RBAC controls, 99.9% uptime SLA, and on-premises deployment options. ## Key features Core capabilities this platform advertises. - DeepEval open-source evaluation framework - 14+ evaluation metrics - Benchmarking suite - Pytest integration - Conversational evaluation support ## Strengths and tradeoffs What this tool does well, and the limitations to keep in mind. Pros - Built on popular open-source DeepEval framework with strong community (10,000+ GitHub stars) - Comprehensive evaluation with 30+ LLM-as-a-judge metrics out of the box - Y Combinator-backed with proven enterprise compliance (HIPAA, SOC 2) - Affordable pricing starting at $29.99/user/month with free tier available - Active community with 2,500+ Discord members and strong documentation Cons - Small team of 7 employees may limit support capacity - Recently founded in 2024, platform may lack maturity of older competitors - Per-user pricing model can become expensive for larger teams ## Common use cases Developers who want to add automated LLM evaluation testing to their CI/CD pipeline - Unit testing LLM applications - Automated evaluation in CI/CD pipelines - Benchmarking across model versions - RAG evaluation with custom metrics - Regression testing for prompts ## Run Confident AI in production with Respan 10K Free traces/mo 500+ Models 5 min Setup Respans lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 500+ models through one gateway. [Try Respan free](https://platform.respan.ai/) ## Best Confident AI alternatives & competitors Top companies in Observability, Prompts & Evals you can use instead of Confident AI. 1. [Respans](/content/market-map/respan-observability/index.html) - LLM tracing, evals, and gateway 2. [LangSmith](/content/market-map/langsmith/index.html) - Trace visualization for LLM chains 3. [MLflow](/content/market-map/mlflow/index.html) - OpenTelemetry-native tracing 4. [Weights & Biases](/content/market-map/weights-and-biases/index.html) - ML experiment tracking 5. [Langfuse](/content/market-map/langfuse/index.html) - Open-source LLM observability 6. [Arize AI](/content/market-map/arize-ai/index.html) - ML observability with LLM support 7. [Datadog LLM](/content/market-map/datadog-llm/index.html) - LLM monitoring within Datadog platform 8. [Helicone](/content/market-map/helicone/index.html) - 9. [Traceloop](/content/market-map/traceloop/index.html) - OpenTelemetry 10. [Braintrust](/content/market-map/braintrust/index.html) - Real-time LLM logging and tracing ## Compare Confident AI Side-by-side comparisons with other tools in this category. - [Confident AI vs Respan](/content/market-map/compare/confident-ai-vs-respan-observability/index.html) - [Confident AI vs LangSmith](/content/market-map/compare/confident-ai-vs-langsmith/index.html) - [Confident AI vs MLflow](/content/market-map/compare/confident-ai-vs-mlflow/index.html) - [Confident AI vs Weights & Biases](/content/market-map/compare/confident-ai-vs-weights-and-biases/index.html) - [Confident AI vs Langfuse](/content/market-map/compare/confident-ai-vs-langfuse/index.html) ## Best integrations for Confident AI Companies from adjacent layers in the AI stack that work well with Confident AI. - [Claude Code](/content/market-map/claude-code/index.html) - Coding Agents - [Cursor](/content/market-map/cursor/index.html) - Coding Agents - [Anthropic MCP](/content/market-map/anthropic-mcp/index.html) - MCP Tooling - [LangChain](/content/market-map/langchain/index.html) - Agent Frameworks - [OpenClaw](/content/market-map/openclaw/index.html) - Agent Frameworks - [AutoGPT](/content/market-map/autogpt/index.html) - Agent Frameworks - [OpenAI Codex](/content/market-map/openai-codex/index.html) - Coding Agents - [Anthropic Computer Use](/content/market-map/anthropic-computer-use/index.html) - Browser Agents - [CodeRabbit](/content/market-map/coderabbit/index.html) - Code Review - [GitHub Copilot](/content/market-map/github-copilot/index.html) - Coding Agents - [Replit](/content/market-map/replit-nocode/index.html) - No-Code AI Builders - [Zapier](/content/market-map/zapier/index.html) - Workflow Automation