Content moderation companies and how to compare them

Four kinds of content moderation companies

Large BPOs

AI API vendors

Moderation software vendors

Hybrid providers

Questions to ask every provider

  • Who writes and owns the policy, and how are changes rolled out to every shift
  • Which share of decisions is automatic, and who checks the automatic ones
  • Is the SLA for user reports in the contract, and how is it reported
  • How are appeals handled, and by whom
  • Which languages are staffed natively on every shift, not only during the day
  • What does the escalation matrix look like for threats to life and child safety
  • Where is data stored, who can access it, and is there a data processing agreement
  • What wellbeing commitments protect the moderators on graphic queues
  • Can you see the audit log and export it
  • How is the price calculated, and what happens when volume changes

Warning signs when choosing a provider

  • No written escalation paths before launch
  • Accuracy numbers without a QA method behind them
  • Price per item with no clarity on what humans actually review
  • Moderators without verified age and identity
  • No access to your own audit trail

Compare the three ways to staff moderation

An in house team, an AI only vendor and a hybrid provider solve different parts of the problem. This is how they compare on the questions above.

What matters In house team AI only Moderators
Context and intent strong once trained, slow to scale misses sarcasm, slang and scam patterns trained reviewers on every uncertain case
Spam and clear violations expensive by hand fast and cheap closed by AI under thresholds you approve
24/7 in many languages one hire per language per shift quality varies by language staffed by language on every shift
Appeals and statements of reasons a process you build no person to explain the decision a second reviewer, reason logged
QA and audit trail needs senior reviewers scores without reasons QA sampling and a full audit log
Moderator wellbeing a program you fund not needed rotation, exposure limits and support
Time to start months of hiring and training days to integrate live within 30 days of sharing your policy
Cost model salaries, management and tools per item or per call one monthly retainer

How Moderators answers these questions

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Tell us your platform type, content, volume, languages and SLA. The plan shows your team per shift, the AI and human split and a monthly estimate.

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