Round-the-clock policy enforcement in 40+ languages.
Overview
What is content moderation?
Content moderation needs human reviewers who understand cultural context, local laws and platform-specific policy, working across every time zone and language.
AI alone cannot handle the nuance and edge cases of moderation at scale. Human reviewers keep platform trust and legal compliance intact.
Native-language reviewers for accurate cultural judgments.
Rapid response queues for high-severity escalations.
ML pre-classification routes and prioritizes review queues.
Weekly accuracy reports and audit trails for compliance.
Workflow
How we do it
- 01Policy onboarding
We study your guidelines, escalation thresholds and edge case frameworks before operations begin.
- 02Team calibration
Reviewers train on your policy taxonomy with calibration quizzes and regular updates.
- 0324/7 review pipeline
Continuous human review queues with defined SLAs, typically under two minutes for critical escalations.
- 04AI-assisted flagging
Automated pre-classification routes content to specialized reviewer teams.
- 05Appeals & QA
Structured appeals process, random QA sampling and weekly accuracy reporting.
Case study
Moderate harmful content across 40+ languages in real time
24/7 multilingual moderation with AI-assisted flagging and escalation tiers.
Ready to get startedwith content moderation?
Tell us about your project and we will scope a pilot within 48 hours.