Platform protection at scale
Trust & Safety
Fraud detection, policy enforcement, and user protection data pipelines for digital platforms of any size.
Overview
What is Trust & Safety?
Trust and safety data services cover fraud pattern labeling, policy violation detection, and user-protection annotation — the training data behind the systems that keep platforms safe.
Why it matters: Fraud and abuse patterns evolve constantly. Platforms need continuously refreshed, precisely labeled data to keep detection models ahead of bad actors rather than perpetually catching up.
Fraud Pattern Labeling
Transaction and behavioral fraud signal annotation
Policy Enforcement
Violation detection mapped to your specific policy taxonomy
Continuous Coverage
Ongoing labeling cadence that tracks evolving abuse tactics
Audit Trails
Full documentation for regulatory and compliance review
Workflow
How We Do It
01
Policy Mapping
We study your trust and safety policies, fraud typologies, and escalation frameworks.
02
Team Calibration
Specialists train on your policy taxonomy with calibration testing before production.
03
Pattern Labeling
Fraud signals, policy violations, and abuse patterns labeled at scale.
04
Continuous Refresh
Ongoing labeling cadence keeps pace with evolving fraud and abuse tactics.
05
Reporting
Weekly accuracy reports and emerging-pattern alerts delivered to your team.
Case Study
Fintech Platform
Fintech Platform
Label transaction fraud patterns for a real-time detection model
Solution
Continuous labeling pipeline with weekly pattern-refresh cycles and analyst review
Results
1.2M
Transactions labeled
-41%
Fraud loss reduction
24/7
Coverage
Ready to Get Started with Trust & Safety?
Tell us about your project and we'll scope a pilot within 48 hours.