How a financial-analytics provider built private-company depth on Veridion's company knowledge graph.

Registry depth runs out past the disclosure rail

The customer runs a multi-product data business (credit-risk analytics, KYC and KYB tools, supplier-risk platforms, and private-company data products) that institutional clients rely on for global company intelligence. Like every registry-rooted financial-intelligence platform, the data foundation underneath those products is deepest where companies file (listed equity, public debt, regulated entities) and uneven on the long tail of operating businesses where the source records carry less.

Two specific gaps drove the engagement.

The first was classification. NAICS is the canonical industry-coding standard for North American business data, used across credit, supplier-risk, and analytics workflows. The customer's database had operating-company records without NAICS codes attached: the registry source the records came from didn't carry the classification, and filling that gap by hand wasn't scalable across a global database.

The second was operational signals beyond the disclosure rail. As the customer's data products have extended into use cases that need more than registry data (supplier vetting, ESG, KYB, private-markets coverage), the layer of operational signals that lives off-disclosure (activities, products, technographics, ESG, news, certifications) became the differentiator the registry side couldn't reach.

The brief was data-licensing scale: a feed that resolved against the customer's existing identifier system, classified records the registry source hadn't, and carried the operational-signal layer at the refresh cadence the products' downstream customers expect.

Resolved graph behind every product surface

The customer now licenses Veridion's company knowledge graph as a structured data layer alongside its existing pipelines. Records flow through Veridion's Match & Enrich layer, which resolves Veridion's entity keys against the customer's identifiers without forcing migration; the platform's content team picks the data packages it needs (firmographics, classification, operational signals, locations, ESG) and joins them to existing entities.

Classification runs against the full taxonomy stack the underlying products work in: NAICS, SIC, ISIC, NACE, NCCI, IBC, plus Veridion's proprietary business tags. Each operating company in the graph carries its full classification record, with confidence scores and source-evidence attached, so records arrive in the customer's pipelines correctly coded across every taxonomy a downstream product touches.

The graph underneath refreshes weekly across 134M+ operating companies, with daily refresh on volatile attributes. Records that change between refreshes (new ownership, new locations, regulatory-status shifts, dormancy signals) flow through the same delivery pipeline, so the data the customer ships its institutional clients stays current with the source it's drawn from.

Data shipped to clients refreshes with its source

For the customer's downstream clients, the practical effect is that the data underneath the products they consume (classification, firmographics, locations, operational signals) runs on a continuously refreshed graph rather than a registry feed, with the resolution layer that joins it cleanly to whatever identifiers their workflows already use.