Industries
Compliance AI Products
Your AI needs to answer regulatory questions and cite the source. RLVNCE is the retrieval layer underneath - so your team builds the compliance logic, not the data infrastructure.
The problem
Why compliance AI teams hit a wall
Every compliance AI product eventually faces the same question from a customer: "what rule is that based on, and is it still current?" If the product can't answer, the AI output is a liability, not a feature.
The alternative is dedicating 2-4 engineers to building ingestion pipelines - $300K-$600K/year in fully-loaded cost, $500K-$1.5M upfront before the first query returns a result. For a lean team shipping product features, that's not a reasonable allocation. Enterprise AI teams choosing to buy over build jumped from 53% in 2024 to 76% in 2025. The trend is moving in the right direction.
What matters to you
Requirements for production compliance AI
Source-backed search results an AI agent can call at runtime
Exact source URLs and canonical citations on every result
Change detection so your product knows when rules it depends on change
Provenance metadata for defensible, auditable AI outputs
MCP server for zero-friction agent framework integration
Integration in hours, not months - API key to first query in under an hour
How compliance AI products use RLVNCE
Common integration patterns
Ground AI answers in authoritative sources
Query 12 US regulatory corpora — Federal Register, eCFR, SEC, FINRA, OCC, FDIC, NCUA, FinCEN, FFIEC, CFPB, FTC, and PCAOB — at runtime. Every result carries source URL, canonical citation, and stable document identifier. Your AI output is defensible because the retrieval layer is auditable.
Stay current with regulatory changes
When FINRA amends its rulebook, the CFR updates, or CFPB issues a new Circular, RLVNCE runs continuous change detection with webhook delivery - so systems that depend on those rules are notified before the next customer interaction, not after.
Ship features in days, not months
REST API, MCP server compatible with major agent frameworks, and client libraries. A developer with an API key can run a live query against the FINRA rulebook, a CFPB examination procedure, or a FinCEN advisory in under an hour.
Build compliance logic, not data infrastructure
The regulatory search index your AI agents query at runtime.