Why This Matters
The problem
Regulations change constantly. Most teams track them manually — spreadsheets, forwarded emails, missed gazettes. No auditable evidence that you even knew about a change.
What it does
NLP reads regulatory sources and extracts structured signals — source reference, affected categories, deadlines, confidence score. A "regulatory RSS feed" that understands what the text means.
Audit trail
Every signal is chained into a cryptographic hash trail. Prove to regulators when you knew about a change and when you acted — immutable evidence.
How a Signal Gets to You
From regulatory publication to your compliance dashboard in four steps.
Source Monitoring
We continuously crawl EUR-Lex, FDA.gov, ISO.org, national gazettes, and other regulatory sources for new publications and amendments.
NLP Extraction
Natural language processing reads the full text, identifies compliance-relevant requirements, deadlines, scope changes, and classification criteria.
Signal Structuring
Extracted data becomes a structured signal: title, source reference, affected categories, region, type, deadline, and confidence score.
Crypto Audit Trail
Each signal is hashed and chained into an immutable audit trail. You get proof of when each regulation was published, detected, and when you acted.
Regulatory Signals
Live signals extracted from monitored regulatory sources
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Built for AI Agents, Not Just Humans
25 MCP tools and REST endpoints let AI agents search signals, scan products for applicable regulations, and generate compliance impact reports autonomously.
Stop chasing regulations.
Let them come to you.
We turn days of manual regulatory tracking into minutes of structured, auditable intelligence. Connect your quality management system and see signals flow in automatically.