FAQ
Common questions, direct answers.
What Apriori covers, how the organization graph is built, and how to work with us. If your question is not here, ask us directly.
What types of public records does Apriori cover?
Apriori covers US public records spanning regulatory filings, disclosure documents, registrations, licenses, and government spending - at the federal, state, and county level - plus international business registries. Coverage extends across commercial, nonprofit, and public-sector organizations.
Can Apriori link records about the same organization across different sources?
Yes - that is the core of what we do. Apriori maintains a resolved organization graph: legal registrations, regulatory filings, licenses, government awards, and workforce-related disclosures linked into a single entity view, with provenance to the originating government record.
What is AI-driven entity resolution?
It is the process of deciding which records refer to the same real-world organization or licensed professional. Our LLM-assisted pipelines propose links across sources, and deterministic rules plus provenance checks confirm them - so the same input always produces the same resolved entity, with every attribute traceable to its source.
How is data delivered?
Three modes: bulk delivery of full datasets, API access, and monitoring - change detection that alerts on new filings, status changes, and registration events. All modes carry provenance back to the government source.
Which countries does Apriori cover?
The United States at the federal, state, and county level, and international business registries across dozens of countries and languages - including national-scale datasets processed end to end.
Who uses Apriori data?
Teams responsible for compliance, KYC/KYB, due diligence, and risk - and product teams building AI applications that need a reliable, citable data layer for financial services, legal, healthcare, and government workflows.
What makes the data AI-ready?
Records are linked, deduplicated, and reconciled into resolved entities, then delivered as structured, citable data with source provenance - the form LLM and RAG systems need to produce deterministic answers instead of guesses.
How do I engage Apriori?
Four models: bulk licensing of existing datasets, custom acquisition of sources you need, monitoring subscriptions for change detection, and a dedicated data-operations pod working under MSA/SOW inside your organization.