AI-native editor for products with mature design systems
AI-native editor for
products with mature
design systems
Every screen it generates comes from your design system. Not inspired by it — built from it
Every screen it generates comes from your
design system. Not inspired by it — built from it
Plug in your design system
Generate production-ready UI
Collaborate on ai-canvas
Ship through MCP
AI ready DS since day one
AI ready DS since day one
We make your design system AI-ready by translating its components into a language LLMs can understand and equipping your team with the tools to keep evolving it.
We make your design system AI-ready by translating its components into a language LLMs can understand and equipping your team with the tools to keep evolving it.
Your asset libraries
Your asset libraries
A strong design system can’t exist without a complete library of icons, visuals, graphics, photos, and other assets — and we make sure it’s fully integrated into your DS.
A strong design system can’t exist without a complete library of icons, visuals, graphics, photos, and other assets — and we make sure it’s fully integrated into your DS.
No AI aslop in workflow
In the generation pipeline we load a full design system: tokens, components, variants, documentation, and real usage context—often on the order of 30× what typical Design.MD examples give models.
Real data or anything
Connect what you actually run: your APIs, on‑prem sources—not a static list of labels. We estimate load, wire the data, and keep the heavy lifting on our side.
Export for everyone
MCP for developers; Figma export for anyone who needs files. Your design system, screens, and every artifact in the flow—exposed through MCP, the way AI‑native stacks expect.
Data privacy
Your compliance runs before the model does.We’re open on how hard you need this: dedicated models, sanitization, retention, deployment constraints—aligned and documented up front, not bolted on after launch.
No AI slop
in workflow
In the generation pipeline we load a full design system: tokens, components, variants, documentation, and real usage context—often on the order of 30× what typical Design.MD examples give models.
In the generation pipeline we load a full design system: tokens, components, variants, documentation, and real usage context—often on the order of 30× what typical Design.MD examples give models.
Real data
or anything
Connect what you actually run: your APIs, on‑prem sources—not a static list of labels. We estimate load, wire the data, and keep the heavy lifting on our side.
Export for
everyone
MCP for developers; Figma export for anyone who needs files. Your design system, screens, and every artifact in the flow—exposed through MCP, the way AI‑native stacks expect.
Data
privacy
Your compliance runs before the model does.We’re open on how hard you need this: dedicated models, sanitization, retention, deployment constraints—aligned and documented up front, not bolted on after launch.
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Atonce © 2026
Atonce © 2026