BETA Introducing: The OnBrand API

Brand system

Every token, component and motion rule — extracted, structured and ready for your agent.

PP Mori + Nib Pro

.menu-wrapper-new {
-webkit-backdrop-filter:blur(0px);
  backdrop-filter:blur(0px);
  box-shadow:none;
  background:transparent;
  transition:all 0.2s
  cubic-bezier(0.25,0.46,0.45,0.94);
}
.menu-wrapper-new.scrolling {
  -webkit-backdrop-filter:blur(16px);
  backdrop-filter:blur(16px);
background: rgba(76, 175, 80, 0.8);
box-shadow: 0px 0px 0px 1px rgba(17, 24,
   0px 2px 2px -1px rgba(17, 24, 39, 0.05),
   0px 4px 4px -2px rgba(17, 24, 39, 0.05)
   0px 8px 8px -4px rgba(17, 24, _

Make your agents be on brand

Extract any brand system, search for style inspiration, and verify if it's staying on course.
Built for gen AI applications, agents and developers.

We're building the brand layer for AI. OnBrand is the first agent tool we're shipping from Canopy Labs. A brand is years of craft and care, and it's what makes a product feel whole. We want your agents to respect it.

Everything your agent needs to stay on brand. In three endpoints.

Brand ExtractionBETA

Give it a URL and get the whole brand system back: logos, colour palettes, fonts, motion, textures, shadows and more, as structured data your agent can read.

Style SearchALPHA

Your user doesn't have a brand yet? Your agent can describe a look in plain language and pull real brand systems from our curated index, like “a calm editorial bank”.