Data for AI
Data your AI can quote, not guess.
Apriori delivers resolved organization and professional data as clean, citable retrieval layers for vertical AI applications in financial services, legal, healthcare, and government - structured, deduplicated datasets prepared for LLM, RAG, and ML workflows, with citations back to the government source.
Why the data layer decides.
An AI product answering questions about organizations, officers, or filings is only as reliable as the record underneath it. Raw public data is fragmented and duplicated; feeding it to a model produces confident nonsense. A resolved graph with provenance produces answers with citations. We do the second part.
Structured for retrieval
Clean schemas, stable identifiers, and entity-level records that chunk naturally into RAG pipelines.
Deterministic answers
One resolved record per entity means the same question returns the same answer - a requirement in regulated workflows.
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.