Give Design Teams Brand Asset Memory the AI Actually Sees
Brand assets live in DAMs, Google Drives, Figma libraries. AI design tools can't read any of them at runtime. Designers manually find and paste references every project. MemoryLake makes brand assets AI-readable memory across every tool.
Give Design Teams Brand Asset Memory the AI Actually Sees
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The problem: brand asset libraries are invisible to AI tools
The approved logo lockup, the brand photography style, the type specimens, the color palette — all live in places AI tools can't reach. Every design session re-loads references manually. The DAM that should be the source of truth is just a folder structure.
How MemoryLake captures brand asset memory
Asset memory with metadata
Logos, photos, type specimens with usage rules.
Multimodal storage
Native image and asset memory.
Per-client brand scopes
Each client's assets isolated.
Cross-tool retrieval
Figma, image AI, design copilots unified.
Free forever · No credit card required
How it works for brand asset memory
- Connect — Authorize DAM, Drive, Figma libraries.
- Structure — Assets become typed memory with usage rules.
- Reuse — AI design tools retrieve relevant assets.
Before vs. after: brand asset AI memory
| Without MemoryLake | With MemoryLake | |
|---|---|---|
| AI tool sees brand assets | No | Yes |
| Reference-finding time | Hours per project | Memory-loaded |
| Off-brand AI output | Common | Memory-blocked |
| Multi-client brand confusion | Possible | Scope-prevented |
Who this is for
Design teams at studios and in-house — managing brand asset libraries that AI design tools currently ignore.
Related use cases
Frequently asked questions
DAM integrations?
DAM integrations?
Bynder, Brandfolder, Frontify, Google Drive, custom — supported.
Multimodal storage?
Multimodal storage?
Yes — native image memory via D1 engine.
Free tier?
Free tier?
Yes — for small design teams.