Data Analysis
Exploitation Analysis
Pattern detection for labor abuse, wage theft, and program fraud using public enforcement and expenditure data.
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Who it’s for
HHS and state human-services agencies, task forces, and oversight bodies investigating labor abuse, wage theft, or program fraud.
The challenge
Fraud and exploitation hide across enforcement and expenditure records — anomalies are hard to surface without a rigorous, defensible method.
How it works
We apply geographic clustering and anomaly detection to public enforcement, licensing, and expenditure data — for example, flagging disproportionate provider density relative to plausible local demand — using documented, reproducible methods refined on real investigations.
What you get
An anomaly report identifying the clusters and outliers worth investigating, with maps and a methods note.
Outcomes
A prioritized, defensible starting point for oversight or enforcement — focused where the data says to look.
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