A three-layer corporate-and-trade intelligence substrate

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A three-layer corporate-and-trade intelligence substrate. Layer 1: petabytes of primary multilingual source documents — court records, incorporation filings, patents, bankruptcy notices, beneficial-ownership declarations and bills of lading — retained in original unstructured form and vectorised with semantic embeddings. Layer 2: a knowledge graph of 2B+ resolved entities across 250+ jurisdictions linking 550M+ unique companies, built on parallel deterministic (gold-standard-anchored) and probabilistic (mined, self-repairing) paths, with the pre-resolution substrate preserved so any resolved assertion can be independently re-verified. Layer 3: an ontology encoding commercial structures (companies, key people, beneficial owners, shipments, trade flows, control chains) plus a judgment ontology formalising analyst tradecraft, documented failure modes and confidence calibration.

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Sample

Brickroad customers

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Coverage

Universe, instruments and categories.

Industry: Application SoftwareResearch & Consulting Services
Instruments: equitiesfixed_income

Dataset card

Type: not stated
Format: Multimodal — unstructured primary documents plus a graph store, delivered through a queryable API returning structured JSON (resolved entities, jurisdictions, ownership depth, beneficial-owner match, trade-record counts, risk signals, source-document counts, confidence), with documented developer APIs for supplier/buyer trade search
Volume: Vendor-stated: 12B+ total source records growing 60% annually, 550M+ unique companies, 2B+ resolved entities, 4B+ trade records, 250+ jurisdictions, 715+ global sources, and petabytes of primary source documents. Layer-1 document volume alone is the largest such corpus in this table and the only one measured in petabytes.
Users: ~200-600 enterprise and government accounts (inferred from a ~$100M revenue range with 230 employees, implying mid-to-large contract values across financial institutions, corporates and government agencies rather than a high-volume SMB base)
History: 11 years
Update frequency: not stated
Growth: Active and compounding — the page states 60% annual record growth, a bi-weekly release cadence, real-time sanctions and registry updates, and a self-repairing probabilistic layer; a $360.2M total raise, ~$100M revenue range and 230 employees indicate an expansionary rather than maintenance posture
Launched: ~2014-2015 (graph lineage stated back to 2015; the ontology is described as built from eleven years of commercial-intelligence tradecraft, placing the origin in the same window)
Delivery: not stated
Entity mapping: not stated
Sample: not stated
Point-in-time: not stated
Licence: not stated

supplier index read from their site