How It Works
From public records to review-grade intelligence
SentinelGraph turns fragmented public data — local, state, federal — into structured findings about exclusion- and sanction-linked control risk across 8 fraud sectors.
Data foundation
Continuous ingest from federal, state, and local public records across all 8 fraud sectors.
OIG-LEIE, SAM.gov, state Medicaid exclusions
SBA do-not-pay, PPP / EIDL prosecution records
State UI integrity, WC fraud, SNAP / EBT trafficking
FEMA, HUD, disaster-recovery enforcement
Federal & state corporate filings, licensing boards
Federal & state court records, DOJ enforcement news
Property, UCC filings, business registrations
NPPES, PECOS, state enrollment data
Entity & control mapping
Resolve names, addresses, IDs across sources. Map officer roles, registered agents, and shared infrastructure.
Name, address, identifier matching across sources
Corporate officer and registered-agent role mapping
Address clustering, shared-infrastructure detection
Temporal analysis of formation, dissolution, reconstitution
Officer overlap, repeated entity associations
Cross-state tracking for multi-jurisdiction patterns
Trust & proof framework
Every observation passes a structured confidence assessment before becoming a finding.
Source reliability rating (official vs. secondary)
Cross-source corroboration
Temporal consistency
Entity-resolution confidence
Control-indicator strength
Human analyst review and rating
Review-grade outputs
Structured findings for legal, investigative, and compliance professionals. Not raw data feeds.
Entity profiles with full relationship mapping
Sentinel Score with contributing-signal breakdown
Evidence citations linked to public records
Timeline reconstructions of control transitions
Structured narratives for legal and compliance review
Structured exports for case-management integration
Honest limitations
SentinelGraph identifies patterns that may indicate exclusion- or sanction-linked control risk. It does not determine fraud, liability, or violation. Findings are preliminary observations. Public records can contain errors, name mismatches, or stale data — verify before acting. The appropriate response to any finding is further investigation by qualified professionals.
Request a confidential briefing
If you work in healthcare compliance, fraud investigation, or legal oversight — and you want to understand how exclusion-linked control risk may affect entities in your portfolio — SentinelGraph may be able to help.
Request a BriefingImportant disclaimer: SentinelGraph provides structured intelligence based on publicly available data. It does not provide legal advice, conduct investigations, or make determinations of fraud, liability, or regulatory violation. All findings are preliminary, evidence-traceable observations intended to support — not replace — qualified legal, investigative, or compliance review. Use of this service does not create an attorney-client relationship or any professional engagement unless separately agreed in writing.