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CompanionGuard — Guardian Insight & Escalation OS for Teen AI Products

Youth-safe design used to mean time limits, content filters, and app approvals.

Score79/100
Apr 24, 2026
TAM
€576M — ~32K consumer AI, social, gaming, and edtech teams globally × ~€1.5K/month equivalent spend on teen-AI safety and parental-supervision infrastructure.
SAM
€110M — ~6.1K teams with material under-18 exposure or planned teen-facing AI features × ~€1.5K/month equivalent spend.
SOM
€1.4M — 35 customers at ~€3.3K/month blended software revenue in years 1-2.
WhatsAppAIAPILegalHealth

The Problem

Youth-safe design used to mean time limits, content filters, and app approvals.

That is no longer enough once products let teens hold real conversations with AI.

Product teams now need to answer questions like:

  • what high-level topics are teens discussing with AI?
  • when should a guardian be informed?
  • how should sensitive topics be summarized without exposing private chat logs?
  • what should happen when a teen asks about self-harm, eating disorders, or other high-risk issues?
  • how do teams prove that a teen-facing AI experience is age-appropriate and consistently enforced?

Most teams do not have a dedicated operating layer for this. They have chat logs, moderation rules, support macros, and ad hoc policy docs.

That gap becomes much more expensive once AI is positioned as an always-available companion or helper.

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