A semantic foundation for regulated data.
Verum is a domain ontology layer that lets insurers and other regulated enterprises define their business once, then project it consistently into the warehouses, graphs, APIs, and reports they already run.
Regulated firms re-model the same concepts — policy, claim, counterparty, exposure — across dozens of systems. Each new report, integration, or supervisory return becomes another mapping project, another reconciliation, another point of drift. The cost is not the platforms; it is the lack of a shared meaning layer above them.
Verum is technology-neutral by design. It sits above your existing data platform and extends established business glossaries rather than replacing them.
Define entities, relationships, and rules once. Render them as warehouse tables, graph schemas, APIs, and report taxonomies on demand.
Aligned with the frameworks that govern this work — Solvency II, IFRS 17, GDPR, DORA — so compliance obligations are expressed in the model rather than bolted on around it.
Agnostic to lakehouse, graph engine, or API stack. Designed to extend incumbent glossaries and metadata systems, not displace them.
The value of an ontology layer is measured in the work it removes from every team downstream — not in the model itself.
New returns, taxonomies, and disclosures derive from the model instead of bespoke pipelines.
Cross-system mappings collapse into a single semantic contract, maintained once.
Every derived artefact traces back to the same governed definitions, with lineage and data-quality rules attached at the source.
Insurers, reinsurers, banks, and large regulated enterprises
with complex data estates and growing reporting obligations.