Teams · ML & Data Science
Models drift faster than labelers can keep up. The Fraud Investigation Agent closes every case and produces cited, typology-tagged labels. Your detection stack stays current with production.
What you get
Every for ml & data science deployment ships with the same evidence-first reasoning, audit trail, and policy fit as the rest of Roe.
Every closed case ships with a typology label, outcome, and feature rationale. Drop straight into your training pipeline. No batch labeling project required.
See exactly why a case was closed. No black-box ground truth. Auditable labels your modelers and your second line both trust.
Counterparty, behavioral, and web-evidence features Roe surfaced during investigation are exposed as features your models can consume.
Thousands of fresh labels per week. Retrain at the cadence the threat actually moves, not the cadence labelers can keep up with.
How it works
The Fraud Investigation Agent closes every case end-to-end with cited evidence.
Typology, outcome, and feature signals are written back per case to your warehouse.
Your training pipeline picks the labels up. Models stay aligned with the typologies in production.
Labeled cases produced per week
Typologies tagged out of the box
To integrate the label feed