AI-NativeMedium Effortglobal

MemoryConsent — Consent, Provenance & Deletion OS for Personal-Content AI Features

A major product shift is happening quietly:

Score78/100
Apr 24, 2026
TAM
€648M — ~36K consumer software teams globally × ~€1.5K/month equivalent spend on personal-content consent and governance infrastructure.
SAM
€126M — ~7K teams actively shipping AI features against private photos, memories, or personal content stores × ~€1.5K/month equivalent spend.
SOM
€1.6M — 32 customers at ~€4.1K/month blended subscription revenue in years 1-2.
AIAPILegal

The Problem

A major product shift is happening quietly:

personal content is no longer just stored — it is being interpreted, surfaced, and recombined by AI.

That creates a new operational problem for product teams:

  • when exactly did the user opt in?
  • what type of processing did they allow?
  • which assets were analyzed and for what purpose?
  • were results shown privately, shared publicly, or reused to improve a model?
  • how can a user turn the feature off, export the record, or request deletion?

Most teams still manage this with checkbox copy, settings pages, and internal data maps that are hard to audit later.

That is too weak for products that touch a person’s private photo library or memory archive.

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