We've built custom reward models that work better than an LLM as a judge.
Our models leverage a unique architecture and are custom-trained for evals so that they can be guaranteed upon to get the scores right.
Composo gives you results you can actually trust, and for much less work. So you can accurately track performance changes over time & ship faster with confidence.
You need precise, consistent & completely customizable metrics that you can 100% rely on. LLM-based evals can't do this.
Our models leverage a unique architecture and are custom-trained for evals so that they can be guaranteed upon to get the scores right.
The only alternative to LLM as a judge, based on extensive R&D.
Consistent, automated evals that enable you to quickly debug & improve the quality of LLM outputs.
Conduct precise, quantitative measurement of the impact of changes to prompts and models over time .
Composo gives you evaluation results you can rely on.
Test out our evals API with just a few lines of code & simple, single sentence criteria.
We're well-used to complex, sensitive use cases & working with enterprises in high-stakes domains such as finance, legal, healthcare & defence. Let us know your requirements.
Our evals give you scores & explanations on any custom criteria, that are precise, deterministic & accurate.
Built for all use cases including chatbots, copilots, code generation & unstructured data extraction.
We support RAG, agents, function calling & reasoning too.
Custom generative reward models that are built to guarantee you get precise, deterministic evals you can trust.
Excels across benchmarks for real-world use cases.
Type a single sentence to create any custom criteria.
Works for the most complex, subjective domains
Plus we can fine-tune for your use case if you need.
CEO
Ex-McKinsey & QuantumBlack
Oxford University
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Founding Engineer
Ex-Tesla & Alibaba Cloud
Imperial College London
CTO
Ex-Graphcore ML Engineer
Oxford University
With evaluations built specifically for complex, highly specific domains, we make it easy to deploy LLM applications with 100% confidence.
