From disconnected data to investigation‑ready intelligence in minutes.
The AI-powered investigative intelligence platform for high-stakes oversight.
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The AI-powered investigative intelligence platform for high-stakes oversight.
The problem
Public records. Federal systems. Court filings. Tax data. Each one tells a partial story. No one sees the whole picture.
The failure isn't human. It's architectural.
“What we see in Minnesota is not a handful of bad actors committing crimes. It's a staggering industrial scale of fraud.”
First Assistant U.S. Attorney Joe Thompson
“Ideally, we would have the same technology and capabilities as the private sector to prevent and detect fraud. That's just simply not the case right now.”
Minnesota Inspector General, 2025
How it works
Data flows in. Intelligence flows out. Investigators act on evidence — not hunches.
Public, internal, and protected sources fuse into a single knowledge graph. Queryable in plain language.
14 connectors · 13 detection patterns · One graph
AI agents trace networks, test hypotheses, and synthesize findings. Full chain-of-thought reasoning from flag to conclusion.
Autonomous reasoning · Full audit trail
Evidence-backed reports land on your desk. Investigators see the network and verify the location before they walk in the door.
Reports · Network maps · Field-ready intelligence
The evidence
Every detection pattern extracted from DOJ prosecution data. Every threshold traced to structural signals visible before anyone filed charges. We didn't imagine the workflow. We encoded it.
Feeding Our Future — detected retrospectively from public data alone
Detection patterns — every threshold traced to prosecution evidence
Data connectors — public, internal, protected
Integrated Sources
Who it's for
Departments of Human Services, Inspectors General, and fraud units overseeing Medicaid, SNAP, child nutrition, and housing — where billions move through programs with limited oversight capacity.
USDA Food and Nutrition Service, HHS Office of Inspector General, and agencies responsible for program integrity at the federal level — where the scale of fraud exceeds manual investigation capacity.
State Attorneys General, Bureaus of Criminal Apprehension, and Medicaid Fraud Control Units — 53 MFCUs nationwide that collectively spend $400M annually on enforcement.
Why OrkaIntel
One database shows nothing. Five databases connected show everything. OrkaIntel fuses sources that were never designed to talk to each other — and surfaces the patterns that live between them.
Every flag traces to source data. Every threshold to prosecution evidence. No black boxes. No confidence scores that can't be explained in court.
Not a scoring engine. An autonomous agent that collects evidence, tests hypotheses, and writes reports with full chain-of-thought reasoning. The AI does the legwork. Investigators make the call.
Detection patterns, data connectors, and entity models are configurable — not hardcoded. Benefit fraud, law enforcement, federal oversight, defense. The architecture moves with the mission.
See how OrkaIntel surfaces the patterns your current systems miss.