Proven outcomes in real workflows

Using a company's entire digital footprint over time to catch every operational growth signal and compress it into one actionable, explainable score.

How a structured-finance rating agency mapped every entity, role and ownership link behind a deal from the live company graph, and verified it against SEC filings.

How a global e-commerce and cloud-services company scored ~69,000 suppliers on four ESG frameworks, entirely from public evidence in the company knowledge graph.

How a credit bureau scored 1,007 companies on 14 evidence flags drawn from their physical, digital, reputational and operational footprint.

How a fund-data provider scored its sovereign and corporate fixed-income universe on a criteria-level model built from public-institution evidence and authoritative indices.

How an insurance data and analytics provider resolved a registry's nameless companies to their real businesses in the company knowledge graph, then classified and located each one.

How a credit bureau surfaced active, locatable businesses with no registry record, discovered from their digital footprint and validated to a real São Paulo address.

How a financial-data provider built four forward-looking growth signals on a live company graph, ranking companies by momentum and surfacing ones its universe had missed.

How a sanctions-intelligence provider discovered 220,000+ companies in a dual-use sector, profiled them, and layered on news and sanctions monitoring to flag exposure early.

How a market-intelligence provider corrected wrong domains and addresses, captured missed acquisitions and rebrands, and mapped sprawling corporate groups of hundreds of subsidiaries to verified parents.

How a commercial insurer scored 200 SMEs on seven layers of public evidence (hazard flags, certifications, building intelligence and imagery), each one auditable to its source.

How a commercial-property insurer got a per-building rebuild band where every multiplier is sourced and stress-testable, decomposed across region, heritage and live occupancy.

A Veridion pipeline replaced a manual research workflow that had limited the platform's freshness and scale.

Veridion's location graph supplies the facility-level coverage, type classification, and source-attributed positioning the customer's physical climate-risk models need to resolve exposure at the building level rather than at the HQ.

The customer's free small-business benchmarking tool runs against Veridion's company knowledge graph, the Canadian SMB market data underneath the anonymized peer comparisons its customers see.

The carrier's Global Data & Analytics function licenses Veridion's company knowledge graph as a data layer underneath its commercial-underwriting and specialty-lines workflows, adding the operational depth that registry-rooted feeds don't carry across a global commercial book.