Procurement Intelligence Data Service
Continuously analyzes solicitations, awards, contracts, vendors, pricing, and performance signals to identify irregularities and high-risk patterns.
Data-as-a-Service for public-sector integrity
Procurement intelligence and vendor integrity, built for prevention.
LedgerHawk helps agencies detect fraud, waste, abuse, conflicts, duplicate payments, vendor risk, and cross-agency anomalies before they become costly failures.
Audit-ready intelligence
Entity resolution, risk scoring, contract and invoice monitoring, OSINT enrichment, and explainable findings for government review.
Solutions
Modular intelligence services
Vendor Integrity Data Service
Builds a vendor risk view using ownership, affiliation, eligibility, adverse media, sanctions, past performance, and related-party signals.
Cross-Agency Intelligence
Connects signals across agencies and programs to surface duplicate vendors, recurring anomalies, shell-entity patterns, and suspicious transaction clusters.
Platform
Explainable outputs for oversight workflows
LedgerHawk is designed as a data service layer. It supports agency review teams with ranked findings, underlying evidence, source trails, audit notes, and compliance-ready package generation.
Risk graphVendors, contracts, invoices, officers, addresses, accounts, and related entities.
OSINT enrichmentExternal signals layered onto agency data for deeper integrity checks.
Prevention focusOngoing monitoring intended to identify issues before payment or renewal.
Human reviewFindings are structured for analyst, counsel, inspector general, or procurement review.
Government use cases
Built for procurement, grant, and payment integrity teams
Fraud, waste, and abuse prevention
Detect duplicate billing, suspicious vendor networks, excluded parties, abnormal pricing, unusual award concentration, and high-risk renewal patterns.
Audit package generation
Create structured evidence files for non-compliance review, investigative triage, procurement review, and administrative follow-up.
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