Policy enforcement
Apply content policies consistently across large volumes.
Review & QA
Content Review.
Policy, quality, and brand review of AI- and user-generated content at scale.
Overview
Keep content on-policy and on-brand.
Content Review applies your policies, quality bar, and brand standards to AI- and user-generated content — at scale and across languages. Reviewers enforce guidelines consistently, escalate edge cases, and give you a clean audit trail of decisions.
What's included
Consistent guardrails at scale.
Brand & tone
Keep content aligned with voice and brand standards.
Accuracy & quality
Check correctness, clarity, and overall quality.
Safety & moderation
Identify unsafe, harmful, or non-compliant content.
Relevance
Ensure content matches intent and context.
Multilingual
Review across languages with native-fluency reviewers.
How it works
Managed delivery, powered by Intellego.
01 — Scope & rubric
We define the task, the rubric, and the quality bar with your team before any work begins.
02 — Vetted reviewers
Domain-matched, trained reviewers are assigned and calibrated through the Intellego engine.
03 — Managed workflow + QA
Work runs under managed workflows with second-level QA and client-specific rubrics on every batch.
04 — Reporting & delivery
You receive QA-checked output with measurable accuracy reporting — not just raw labels.
Start with a controlled pilot
See it on your data.
Run a scoped pilot, measure the quality, then scale once it's proven.