Future AGI

Hosted eval + tracing platform for LLM apps.

Production-grade eval orchestration with a dashboard, dataset versioning, and OpenTelemetry tracing. Useful once eval volume outgrows a CI YAML file.

Automated evaluation, guardrails, and monitoring for AI systems.

Platform for evaluating, guarding, and monitoring LLM and agent applications across the deployment lifecycle. Anchored by research-backed evaluator models — Lynx (hallucination detection), GLIDER (LLM judge), and Percival (agent-trace debugger). Offers a self-serve API with free credits, usage-based pricing, and enterprise plans.

Open-source LLM observability. Self-hostable, OpenTelemetry-native.

Tracing, evals, prompt management, and dataset tooling for LLM apps — self-host on your own infra or use Langfuse Cloud. The open-source default when you want full ownership of your observability stack.

Pytest-style framework for evaluating LLM apps in CI.

Open-source (Apache 2.0) framework for evaluating LLM apps the way Pytest tests code — assertions backed by 50+ ready metrics spanning LLM-as-judge, RAG, agents, conversation, and safety. Plugs into LangChain, CrewAI, OpenAI Agents and more. Confident AI is the paid cloud platform that adds test management, dashboards, and observability on top.