Lineage and meaning, from mainframe to cloud
The metadata and context foundation for agents and humans —
built automatically, auditable by design.
Licensed by a Nordic bank for business lineage and mainframe understanding
Enriched tens of thousands of assets with automated metadata at a Nordic telecom
See
Lineage at full fidelity
Business, technical, and system-level lineage, built automatically at column level. From source to report — and from mainframe to cloud — with change history for every hop.
How lineage worksUnderstand
Meaning you can interrogate
AI-generated descriptions, classifications, and glossary links for every asset. Ask your transformations what they do — including COBOL programs — and get answers grounded in the code.
How meaning worksWhat people use it for
Four buying situations, in the order our customers meet them.
Mainframe understanding & migration
Lineage from mainframe assets, COBOL programs explained through chat, and migration impact analysis backed by evidence.
Read moreRegulatory compliance
Continuous, column-level lineage and PII classification that turn BCBS 239, DORA, GDPR, and EU AI Act evidence into a by-product of normal operation.
Read moreAI-ready governance
Machine-readable lineage and meaning that give agents — and the people reviewing them — governed context and one-click provenance.
Read moreData stewardship
AI-assisted descriptions, tags, and cross-platform lineage, so stewards spend their time reviewing rather than authoring.
Read more
What people say
In production use at Nordic enterprises in banking and telecom. Customer names are withheld by agreement; roles and industries are accurate.
“Auto generated descriptions for the data assets are so rich, better than human-written ones.”
“The business lineage view is incredible, makes so easy to understand complex transformations.”
“No manual efforts anymore and our users are happy with the automated rich metadata.”
“PII classification and linking assets with terms is now a breeze, we feel much more confident in our compliance efforts.”
Common questions
What is included in Semantic Scout Enterprise?
A catalog, a data-quality engine, and our AI metadata harvester — delivered together, so discovery, tests, and lineage arrive in one place rather than as three projects.
Can we use Semantic Scout with our existing catalog or quality tool?
Yes. Run the plug-in alongside your current stack, or choose Semantic Scout Enterprise, which ships catalog, data quality, and the harvester pre-wired.
Do you use our business data to generate metadata?
No. No real business data is used in the process. Semantic Scout works from configuration, logs, and code — this is an architectural property, not a policy promise.
How fast can we see results?
Most teams see end-to-end lineage within hours on a representative repository or pipeline. Pilots typically reach broad coverage in days rather than months.
See it on your own estate
A 30-minute demo shows the product. A pilot shows your own lineage, built from your own repositories.