Maxim AI (getmaxim.ai) is an end-to-end evaluation and observability platform purpose-built for production AI agents and LLM applications. It covers the full development lifecycle from prompt engineering and pre-deployment simulation through to real-time production monitoring, positioning itself as a closed-loop system where each stage feeds the next. The platform's core architecture connects four stages: experimentation (Playground++ for prompt engineering and systematic iteration), simulation and evaluation (testing agents at scale across thousands of scenarios with configurable metrics), production observability (real-time tracing and quality monitoring), and a Data Engine that automatically converts production failures into evaluation datasets. This closed loop means teams can reproduce and fix failures without manually recreating test cases. Maxim supports a broad evaluation framework including LLM-as-a-judge, statistical, programmatic, and human-in-the-loop scorers, with a library of pre-built evaluators alongside support for custom ones. On the observability side, it offers SDKs for Python, TypeScript, Java, and Go, plus integrations with LangChain, LangGraph, OpenAI Agents SDK, CrewAI, Agno, LiteLLM, Anthropic, AWS Bedrock, Mistral, and the Vercel AI SDK. OpenTelemetry is supported for ingesting traces and forwarding data to external platforms such as New Relic and Snowflake. Maxim targets AI engineering and product teams at companies shipping agents to production. It is particularly aimed at organizations that need to move beyond one-off evaluations and build systematic quality pipelines. The platform offers a free forever plan for getting started, with paid plans scaling by seat and usage for larger teams. Key features: - Playground++ for prompt engineering, versioning, and team collaboration - Simulation engine to test agents across thousands of scenarios before deployment - Pre-built and custom evaluators: LLM-as-a-judge, statistical, programmatic, and human scorers - Real-time agent observability with tracing, logging, and continuous quality monitoring - Data Engine that converts production failures into evaluation datasets automatically - SDKs for Python, TypeScript, Java, and Go with OpenTelemetry support - Integrations with LangChain, LangGraph, OpenAI Agents, CrewAI, Agno, LiteLLM, Anthropic, Bedrock, Mistral, Vercel AI SDK - Prompt CMS and Prompt IDE for managing and versioning prompts outside the codebase
Free forever plan available; paid plans scale by seat and usage (exact tier prices not publicly listed on pricing page as of June 2026).