Make complex multi-source trade and compliance data immediately legible.
End-to-end data pipeline across GLEIF LEI, OFAC SDN, UN Comtrade, FAO FishStat, and FAOSTAT QCL.
B2B entity resolution, sanctions screening, and commodity flow intelligence with field-level provenance.
Start a conversation ↗Global B2B trade data is fragmented across incompatible government registries, UN statistical feeds, and sanctions lists—and most commercial directories hide where a company record actually came from.
Compliance and procurement teams cannot rely on black-box data when screening counterparties or analyzing Harmonized System (HS) commodity trade flows.
We built a strict multi-package architecture: isolated Python acquisition workers that enforce rate limits and archive source legal terms, a deterministic TypeScript normalization and entity-resolution engine, and a Next.js 16 analytical web application.
Isolated Python acquisition workers and idempotent TypeScript ingestion with mandatory legal-terms registry.
↗02Canonical name/domain folding and automated OFAC screening with human review queues.
↗03Next.js 16 interface for exploring bilateral trade flows, production trends, and licensed counterparties.
↗End-to-end data pipeline across GLEIF LEI, OFAC SDN, UN Comtrade, FAO FishStat, and FAOSTAT QCL.
Deterministic entity normalization and sanctions screening backed by PostgreSQL invariants.
Interactive Harmonized System (HS) product trees, market flow visualizations, and facility registries.
Tell us what you're working on. We'll help you find a way forward.
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