Data discovery for the people who need it most

Keasy bridges the gap between raw data and domain expertise.

Too often, the people who best understand the data — domain experts, analysts, researchers — are the ones with the least access to it. They depend on engineering teams to extract, transform, and interpret information before they can even begin their work.

We built Keasy to change that. By combining knowledge graphs, open standards, and AI, we give domain experts the tools to discover, catalog, and explore their data independently — without writing a single line of code*.

*Data mapping currently relies on a DSL. A low-code and conversational interface is on our roadmap.

Our vision

We believe every organization sits on a wealth of untapped data. The challenge isn't collecting it — it's making it understandable and accessible to the people who know it best.

Keasy is built on open standards like RDF, DCAT, and SHACL/ShEx, ensuring your data remains interoperable and free from vendor lock-in. We bring the power of knowledge graphs and AI to domain experts through an intuitive interface — no technical background required.

Our mission

Keasy exists to put data discovery in the hands of domain experts. We connect to your data sources — whether cloud storage or local filesystems — and automatically transform raw data into rich, explorable knowledge graphs.

From DCAT catalog generation to AI-powered exploration, every feature is designed to remove the barriers between people and the data they need. No more waiting on engineering. No more siloed knowledge.