Threat detection and harmful content labeling.
Overview
AI in Security & Moderation
Digital platforms face an ever-escalating content safety challenge. Effective moderation AI needs diverse, precisely annotated data covering the full spectrum of harmful content across languages and cultures.
Key challenges
- Rapidly evolving harmful content categories and adversarial tactics
- Cultural and linguistic context critical for accurate enforcement
- Psychologically demanding work requiring annotator welfare programs
- Regulatory compliance across different global jurisdictions
Our solutions
How we help
- 01Certified safety reviewers with psychosocial support and welfare programs
- 02Native-language reviewers providing cultural context for accurate decisions
- 03Tiered escalation workflows with specialist review for edge cases
- 04Regular policy calibration and regulatory compliance tracking
Results
99.7%Moderation accuracy
<2 minResponse SLA
40+Languages covered
Power yoursecurity & moderation AI
Start with a scoped pilot: results in weeks, not months.

