AI-NativeMedium Effortglobal

BrandRuntime — Cross-Assistant Brand Memory & AI Credit Control for Visual Workflows

Visual creation is becoming a conversational workflow.

Score75/100
May 11, 2026
TAM
€726M — ~55K AI-forward design/marketing teams globally × ~€1.1K/month equivalent spend on cross-assistant brand runtime and usage control.
SAM
€288M — ~15K teams already using multiple visual AI surfaces × ~€1.6K/month equivalent spend.
SOM
€1.35M — 25 customers at ~€4.5K/month blended software + setup revenue in years 1-2.
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The Problem

Visual creation is becoming a conversational workflow.

Teams can now create:

  • presentations,
  • sales decks,
  • campaign assets,
  • prototypes,
  • and UI changes

inside Claude, ChatGPT, Canva, and Figma-linked agent environments.

That is powerful, but it creates a new operational mess:

  • brand rules live in separate platforms;
  • approved messaging and claims do not travel cleanly across assistants;
  • one asset spawns many near-duplicate variants with no lineage;
  • teams do not know which prompts, assets, or assistants are producing the most reusable output;
  • AI credits and usage become real budget lines without good management.

The wedge is not another design tool. It is the runtime layer that makes multi-assistant visual creation controllable.

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