What we do
From scattered records to a resolved graph.
Apriori does three things: we acquire authoritative public data at the source, resolve it with AI into a graph of organizations and licensed professionals, including business relationships and organizational hierarchy, and deliver it with provenance intact. This page explains each step.
1. Acquire at the source
We collect public records across four coverage layers - federal, state, local, and international - directly from systems of record. The data spans regulatory filings, disclosure documents, registrations, licenses, government spending, and international business registries. Thousands of file formats and dozens of languages are handled by pipelines built for exactly that. Transliteration and multi-language processing are core capabilities, not afterthoughts.
2. Resolve with AI into the organization graph
Entity resolution is our specialty. LLM-assisted pipelines link, deduplicate, and reconcile records across sources into one resolved view per organization and licensed professional. The graph also preserves supported business relationships and organizational hierarchy. Models propose links, while deterministic rules and provenance checks decide, so results remain reproducible. The outcome is a maintained graph of US and international organizations spanning commercial, nonprofit, and public-sector organizations. Each entity, relationship, and hierarchy connection remains linked to the government records behind it.
3. Deliver with provenance
Three delivery modes: bulk datasets, API access, and monitoring - change detection on new filings, status changes, and registration events. Every attribute stays traceable to the government source it came from, whatever the mode.
Where it's used
Built for regulated work.
Identity verification & KYC/KYB
Verify organizations and the licensed professionals behind them against the official record, with citations your auditors can follow.
Compliance & due diligence
Officer and director history, entity status, filing trails, and, where the record supports them, business relationships and organizational hierarchy - resolved across jurisdictions.
Risk & monitoring
Clean, current entity data as the substrate for risk models - with change detection when the record changes.
Data infrastructure for AI
Deterministic, deduplicated, source-cited data that gives RAG and LLM products a record to quote instead of a guess.