How a global commercial insurer extends its underwriting data with Veridion.

Specialty lines need more than registry signals

The customer is a global publicly listed property-and-casualty insurer, writing across commercial property and casualty, specialty lines (marine, aviation, energy, cyber, fine art, financial lines), accident and health, personal lines, and commercial financial lines including D&O and professional liability. Commercial and specialty underwriting at this scale demands a data foundation that goes beyond what registry-rooted firmographic feeds carry.

The structural gap is on the operational-signal side. Specialty lines specifically (cyber, marine, energy, fine art, financial lines) depend on data the registry side doesn't deliver: technology stacks for cyber underwriting, operational footprints for marine and energy, asset characteristics for fine art, organisational and operational context for financial-lines coverage. Even on commercial property and casualty, registered addresses miss the multi-site exposure that risk modelling needs to resolve. The carrier's Global Data & Analytics team is the function that integrates third-party data layers underneath these workflows, selecting partners whose graph, refresh cadence, and provenance structure can pass through to the regulated underwriting and audit contexts the lines work in.

The brief was a commercial-grade data foundation: an operating-company graph at scale, classified across the taxonomies the underlying products work in, with operational signals beyond the disclosure rail and per-attribute provenance that holds up in regulated workflows.

Full taxonomy stack with per-attribute provenance

The carrier licenses Veridion's company knowledge graph through Veridion's Match & Enrich layer, integrating against the identifier system its underwriting workflows already use. The graph runs to 134M+ operating companies, 200M+ legal entities across 200+ jurisdictions, and 400M+ locations with three-level facility-type taxonomy, refreshed weekly on the core graph and daily on volatile attributes.

Classification spans the full taxonomy stack a global commercial-insurance carrier works in: NAICS, SIC, ISIC, NACE, NCCI, IBC, plus Veridion's proprietary business tags. Operational signals (activities, products and services, technographics, business descriptions, news with sentiment, certifications, ESG signals) sit on top of the firmographic and locations layers, all resolved against the same entity keys. Every attribute carries a source URL, confidence score, and last-verified timestamp at the per-attribute level, so the data carries its evidence chain into regulated-context workflows.

One foundation across every line of the book

For the carrier's commercial and specialty underwriting workflows, Veridion's data layer extends the company-record depth it writes against: operational signals the registry side doesn't carry, location-level granularity beyond registered addresses, classification consistency across the underwriting taxonomies, and the per-attribute provenance regulated underwriting decisions defend. The same data foundation runs across the lines a global commercial book touches, rather than vendor feeds that don't reconcile across business units.