Signal. Review. Response.
Trust & Safety
Content moderation at production scale.
Trust and safety operations require fast, accurate, and policy-consistent review of user-generated content — at volumes that make purely human review unsustainable and purely automated review unsafe. BergLabs runs the hybrid model.
How it runs
The hybrid model, on the record.
01
Policy-consistent review
Content reviewed against your policy schema. Edge cases and ambiguous items routed to senior reviewers with policy reference loaded.
02
Volume and accuracy
AI handles the high-confidence classifications; human reviewers take the edge cases and policy-sensitive items.
03
Audit-ready record
Every moderation decision, reviewer assignment, and outcome logged. Fully queryable for compliance and appeals.
Use cases
Where moderation teams start.
UGC moderationHate speech and harassment reviewMisinformation triageAdvertiser safety reviewComment and review moderation
For regulated moderation categories, human review is not optional — it’s the standard.
Next step
Test the hybrid model on one category.
A 4-week pilot benchmarks accuracy, throughput, and appeal-readiness against your current process.