Skip to main content
A

AgentGov

AgentGov provides AI‑powered fraud detection for government agencies, using machine‑learning to scan pension, payroll and employment records and surface prosecution‑ready leads. Users can ask questions in plain English and receive answers backed by documented case law, while the platform’s multi‑criteria validation filters out 99.5% of statistical noise. The system also generates AI‑summaries and tracks recovery to streamline investigations.

Updated 13 days ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Government agencies often struggle to detect fraud within massive pension, payroll, and employment datasets, leading to missed prosecutions and inefficient investigations. Traditional analysis methods generate high volumes of false positives, requiring extensive manual review and lacking direct links to legal precedent.

Solution

AgentGov offers an AI‑driven fraud detection platform that transforms large public‑sector datasets into prosecution‑ready leads. The system applies a four‑phase machine‑learning pipeline, beginning with Isolation Forest anomaly detection on over 5.4 million records. Detected anomalies are cross‑referenced with documented conviction cases, and only those meeting multiple prosecution‑backed criteria are advanced, eliminating 99.5 % of statistical noise. Investigators can query the platform in plain English, receiving AI‑generated summaries, risk scores, and relevant case law packaged for court use. The platform also tracks recovery outcomes, enabling agencies to monitor the impact of each investigation.

Target Audience

Primary customers are federal, state, and local government fraud investigators and prosecutors responsible for pension, payroll, and employment fraud oversight.

Features

  • Isolation Forest analysis of 5.4 M+ records using 10‑15 domain‑specific features for baseline anomaly detection
  • Automatic legal research that links each anomaly to real conviction cases, ensuring evidentiary defensibility
  • Multi‑criteria validation requiring two or more prosecution‑backed triggers to qualify a lead
  • AI investigation assistant that processes natural‑language queries and returns structured findings
  • Generation of investigation packages with risk scores, matched criteria, and precedent case references
  • Recovery tracking dashboard to monitor financial restitution and case outcomes
This profile is AI-generated and may contain inaccuracies.