Data for AI
Data your AI can quote, not guess.
Apriori delivers resolved entity data as clean, citable retrieval layers for vertical AI applications in financial services, legal, healthcare, and government. Organizations, licensed professionals, business relationships, and organizational hierarchy are structured, deduplicated, and prepared for LLM, RAG, and ML workflows, with citations back to the government source.
The answer depends on the record.
An AI product answering questions about organizations, licensed professionals, business relationships, or organizational hierarchy is only as reliable as the records it retrieves. Raw public data is fragmented and duplicated. A resolved graph with provenance produces stable answers with citations. We do the second part.
Structured for retrieval
Clean schemas, stable identifiers, entity relationships, and organizational hierarchy that can be indexed and retrieved without flattening the underlying structure.
Deterministic answers
One resolved record per entity, produced by rule-governed resolution - built for regulated workflows where answers have to be consistent and auditable.
Citations built in
Every field traceable to the official source, so model output can link to the record it came from.
Always current
The public record changes daily. API access and monitoring feeds keep your indexes and features up to date.