Deconvolute Labs

Deconvolute Labs helps teams running AI in production understand whether their systems are accurate, improving, and delivering business value. Its tools measure correct-answer rates for individual use cases using real traffic, trace errors through the steps that produced them, and estimate the cost of incorrect responses. Teams can also test prompts, models, and data changes against consistent evaluations, helping them identify regressions and see whether updates improve performance.

Deconvolute Labs presents cost per correct answer alongside business metrics, giving organizations a clearer basis for assessing AI’s return. The platform runs on customers’ own infrastructure and is built with open-source tools, including Langfuse and ClickHouse; the company says this means there is no software licensing requirement or need to migrate away later. Alongside its measurement offering, Deconvolute Labs conducts research into how companies operate AI in production, inviting practitioners to share their experiences and providing participants with early access to findings and a personal scorecard.

Its website also publishes articles on AI return measurement, evaluation metrics, and retrieval-augmented generation systems