Subscription-based entity screening and fraud analytics that surfaces hidden risk across grantees, vendors, and affiliates — from pre-award through continuous monitoring.
Most aggregators treat self-reported claims and government-verified facts the same way. Y Point doesn't. Every attribute carries a source authority classification — so your analysts know not just what was found, but how much to trust it.
Probabilistic and deterministic matching across names, UEI, EIN, NPI, and address variants. Durable golden records persist across resubmissions and monitoring cycles.
Automated alerts within one week when sanctions, licensure changes, litigation, or ownership shifts affect previously screened entities.
Graph-based detection of interlocking directorates, shell entity networks, and co-location patterns using DBSCAN clustering and Isolation Forest.
Encrypted JSON deliverables with match confidence scores, risk drivers, provenance metadata, and GenAI-synthesized investigative narratives.
Multi-factor risk scores with transparent drivers — every point explained. Sanctions (+20), licensure discrepancies (+15), compensation anomalies (+12).
AWS GovCloud, PGP encryption, SFTP transfer, IP whitelisting. FedRAMP-aligned architecture with full audit logging via CloudTrail.
From federal registries to state corporate filings, court dockets to adverse media — each source refreshed on the cadence its upstream authority publishes.
No portal to configure. No application to build. A subscription service designed for immediate operational value.
Finalize Data Use Agreement, Security Impact Analysis, and encrypted transfer method.
Send encrypted CSV or JSON with businesses and individuals. We accept sparse inputs.
Entity resolution, multi-source due diligence, and risk scoring against 100+ sources.
Encrypted JSON with scores, indicators, relationship graphs, and metadata.
Integrated 4.5B+ healthcare claims from 45+ carriers into an AWS Data Warehouse. Built entity resolution frameworks for provider identity across multiple systems.
Developed fraud, waste, and abuse analytics on Federal Employees Health Benefits Program data. Implemented ML-based anomaly detection and relationship analysis.
Schedule a 30-minute briefing to see how Y Point's subscription-based entity screening integrates with your existing grant management workflows.