Kapso - Iterative learning engine for enterprise data
Show HN: Kapso – Iterative learning from enterprise data
Kapso is an open-source engine from Leeroo that automates iterative experimentation on enterprise data. Give it an objective and success criteria, and it runs experiments in a sandbox, learns from each run via a git-based bank of lessons, and deploys the best solution to your stack. It is model- and coding-agent-agnostic, and has topped benchmarks like RelBench and OpenAI's MLE-bench. Use it to migrate legacy data estates, build lakehouse pipelines, or optimize ML models—with learning that compounds over time.
The nature of data work is iterative: investigate, form hypotheses, experiment, and improve based on what you learn. This bottom-up process is the only way to deliver meaningful outcomes quickly in large, messy enterprise data environments.