Your data space, made simple
Discover, catalog, and explore your data with knowledge graphs and AI — bridging the gap between raw data and domain expertise.
Data cataloging
Automatically process and catalog data from any source
Knowledge graphs
Transform raw data into RDF graphs you can explore and query
AI-powered exploration
Let domain experts discover insights without writing code
Shape validation
Ensure data quality with SHACL/ShEx validation
From raw data to actionable knowledge
Keasy turns raw, scattered data into a governed knowledge base that anyone in your organization can trust and explore.
Break down data silos
Connect scattered sources — cloud storage, local files, databases — into a single, unified data space your whole organization can use.
Open standards, zero lock-in
Built on DCAT, SPARQL, and SHACL. Your catalogs and queries use open W3C standards — no proprietary formats, fully portable.
No PhD required
Keasy handles the complexity of semantic web technologies behind the scenes. Domain experts catalog, search, and validate data through an intuitive UI and AI.
Your complete data space lifecycle
DCAT catalog generation.
Automatically generate standards-compliant data catalogs from your sources.
Multi-source connectors.
Connect to Amazon S3, Google Cloud Storage, Azure Blob, or your local filesystem.
Shape validation.
Validate your data against SHACL/ShEx constraints to ensure quality and compliance.
AI-powered exploration.
Let domain experts ask questions in natural language and get answers from your data.
Visual search.
An intuitive interface for domain experts — powered by SPARQL under the hood.
Got Questions?
If you can't find what you're looking for, get in touch.