The evaluation layer designed for the agentic era
Purpose-built for agents, tool calling, and RAG. Not another LLM-as-judge wrapper - actual deterministic evaluation models trained specifically for the complexities of production AI.
Automated, deterministic evals for AI teams that ship. Stop guessing, start shipping.
Teams stuck in beta are still tweaking spreadsheets and hoping LLM-as-judge catches issues. Teams shipping to production run deterministic evals on everything.
Purpose-built for agents, tool calling, and RAG. Not another LLM-as-judge wrapper - actual deterministic evaluation models trained specifically for the complexities of production AI.
While they're on week 3 of tweaking rubrics, you've already shipped 5 releases.
Teams using Composo find problems in minutes. Everyone else finds out from support tickets.
The difference between 'coming soon' and 'live with Fortune 500s
Teams using Composo ship their first release today. Teams building LLM as a Judge rubrics are still 'preparing to evaluate' 3 months later.
Built for enterprise-scale teams, with robust compliance and secure integration into your stack.
The difference between shipping with confidence and hoping customers don't notice the bugs.
Teams with >95% accurate evals ship agents daily. Teams with 70% accuracy are still in beta.
Not academic theory. Battle-tested on real agent failures from teams actually shipping.
Write what good looks like. Ship in minutes. No PhD in prompt engineering required.
Proven results across startups & enterprises in the most complex verticals
CEO
Ex-McKinsey, Quantum Black
Oxford University
Founding Engineer
Ex-Tesla & Alibaba Cloud
Imperial College London
Founding Engineer
Ex-Thought Machine, Durham & Imperial College London
CTO
Ex-Graphcore ML Engineer
Oxford University
If you're shipping agents & LLM features in the next month and can't afford hallucinations or failed tool calls, we should talk.