Moderation Intelligence
An NSFW detection model embedded into platform enforcement workflows for reliable, high-volume moderation.
Platform moderation required consistent detection at a volume where manual review alone could not scale.
Developed and deployed an ML-based NSFW detection model integrated with enforcement workflows.
Model development, evaluation, production deployment, workflow integration, and outcome monitoring.
The system
The moderation model was designed as one part of an operational safety workflow. Its purpose was not only to classify content, but to support consistent downstream enforcement at platform scale.
What production required
- A measurable evaluation standard aligned with the moderation objective.
- Integration with the platform flow where decisions become enforcement actions.
- Monitoring of both technical quality and operational effect.
- Clear boundaries around what the model decides and how the platform responds.
Outcome
The deployed system supported more than 10,000 user bans with 99.9% reported accuracy.
This public case study intentionally excludes training data, thresholds, policy rules, and other sensitive implementation details.