Trainly

The product is an AI observability platform that traces inputs, outputs, tool calls, latency and cost for agents and LLM pipelines, scores every output with rule-based and LLM-as-judge checks, and auto-retries failures to catch silent punts and wrong tool calls missed by standard monitoring. It sells to developers, data and operations teams in B2B companies building and operating AI agents, LLM pipelines, RAG stacks and MCPs. It is delivered as SaaS and infrastructure API via Python and React SDKs using a drop-in @observe decorator with real-time scoring and gating.

Key features

• Trace inputs, outputs and tool calls
• Capture latency, cost and token usage
• Score outputs with rule-based checks
• Score outputs with LLM-as-judge
• Auto-retry failed AI steps
• Drop-in @observe decorator
• Monitor multi-step agent executions
• Observe RAG retrieval and generation
• Track cost and latency across models
• Environment isolation for pipelines
• Full request lineage for audit
• Alerting and notifications
• Log export CSV and JSON
• Version history and rollback