Executive Summary

Organizations that need to verify, enrich, and reconcile business identities — banks, fintechs, payment processors, tax authorities, marketplaces and large B2B SaaS platforms — still wrestle with manual registry lookups, incompatible identifier schemes, high false-positive matches across jurisdictions and poor provenance for audits. The problem is large and durable: roughly 200 million commercial entities globally and an estimated $22.0B addressable spend (≈$110/year per business) on registry and enrichment data, so identity friction translates directly into operating cost and regulatory risk for many enterprise buyers. A focused product would expose a standardized, registry-agnostic business-registry API that returns canonical IDs, rich normalized attributes, signed provenance for audit trails, bulk and streaming interfaces, SDKs, and adaptive data adapters that pull from government registries, commercial sources and third‑party feeds. The core differentiator is a tightly integrated ML-backed entity-resolution layer (embeddings plus probabilistic linking) to produce deterministic joins and a compact evidence model that satisfies AML/KYC and tax-compliance auditors. This is a good time to pursue it: regulatory tightening (expanded AML/KYC and tax-transparency requirements) is increasing demand for verified registry data, governments are publishing more open registries programmatically, and modern ML techniques materially reduce cross-jurisdiction false positives. Independent assessments of the opportunity are favorable (market score ~92/100 and revenue potential ~88/100), while sourcing costs are declining thanks to open-data releases. To stand out you must deliver verifiable provenance, predictable pricing, excellent developer ergonomics and demonstrated compliance use-cases rather than only higher recall/enrichment metrics; embeddings and probabilistic linking can be a defensible technical moat. Real challenges include uneven global registry coverage, legal/accountability questions around assertions, and a medium-competition landscape where incumbents and data aggregators can respond — success will require fast technical iteration plus a trust-building go-to-market with compliance teams.

Executive Summary

Market Opportunity

Solve identity & compliance friction with a standardized business-registry API targets a $22.0B = 200M businesses x $110/year average spend on registry/enrichment data total addressable market with medium saturation and a year-over-year growth rate of 18-25% annual growth in data-as-a-service & compliance tooling.

Key trends driving demand: Regulatory tightening -- Increased AML/KYC and tax transparency rules raise demand for verified registry data and audit trails.; ML for entity resolution -- Embeddings and probabilistic linking dramatically reduce false positives across jurisdictions, enabling reliable global joins.; Open-data releases -- Governments publishing registries programmatically lowers sourcing costs and boosts standardization opportunities.; API-first integration -- Product teams prefer lightweight APIs and SDKs over bulk data dumps, accelerating adoption by developers..

Key competitors include OpenCorporates, Clearbit, Dun & Bradstreet (D&B), Bureau van Dijk / Orbis (Moody's), Companies House API (UK) — adjacent/free government source.

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Solve identity & compliance friction with a standardized business-registry API

Executive Summary

Solve identity & compliance friction with a standardized business-registry API

Executive Summary

Market Validation

Market Opportunity

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