The fabric of your brand in the AI economy.
The agent economy flattens brands into data. Linen builds the layer that keeps yours distinct.
More visitors are coming to your site, but they aren’t human.
Every decade brings a platform shift where brands have to show up on a surface they don't control.
As AI agents become the interface for commerce, merchants face a new requirement. Agents need a structured, machine-readable version of a brand: what it sells, who it's for, what it's worth, and why a customer chooses it. Almost none of that exists in a form an agent can read today.
Linen builds the layer that fills this gap.
Left alone, an agent picks the generic version of you.
By default, an agent optimizes for the obvious: lowest price, fastest shipping, best raw utility. That commoditizes every brand and strips away differentiated positioning, the exact thing a premium brand spends years building.
People fill in what a page doesn't say. Agents arrive empty, so years of brand-building flatten into a category baseline. Not because the agent can't understand the difference, but because the brand never told it in a language it could read.
A supplement formulated with third-party-tested actives and a decade of clinical backing.
A $475 hand-stitched moccasin, made by the same workshop for three generations.
With Linen, the agent sees the brand the way the customer would. It recommends your brand for what sets it apart, not just for matching the request.
The data layer between your brand and every system that reads it.
Most of what makes a brand worth choosing lives outside the SKU: who it's for, why it costs, what it does, what makes it different.
Linen builds the layer that holds all of it, in a form an agent can understand. We build the dynamic entity graph that makes your brand coherent to AI, to your own teams, and to every tool you run on, and we deploy agents that keep it accurate as you change. The result: any system that touches your brand knows what makes you different.
It knows why you cost what you do, and why a customer chooses you.
Set up by us. Running in days.
Reads from your stack
Shopify, ERP, CMS, EDI feeds, not just your public site.
A living brand dictionary
Every detail and differentiator translated into agent language.
Policy & transaction context
Return terms, shipping, compliance, query-ready.
Brand voice, normalised
Tone and positioning consistent across every channel and agent.
A model of your brand
The inferred context and connections, not just the feed.
Published in every format
llms.txt, JSON-LD, MCP endpoint, REST API or GraphQL.
One standard, everywhere
In sync with your catalog, your copy, your brand.
Continuous drift monitoring
Agents watch for structural drift as your catalog and copy evolve.
Prompt injection defenses
Hardened against models rewriting your brand.
All yours, and private
Your corpus is built on your data, isolated to your brand. It's never pooled with other brands, never used to train external models, and always yours to export. SOC 2 Type II.
We ingest the whole stack, not just the website.
Building that layer means going deeper than the public site. We read from the operational stack a brand already runs, not just the public website, then we structure all of it into the form agents need to represent the brand correctly.
Catalog and inventory
Customer-facing content
Policy systems
Compliance tools
The team behind the layer.
Our team comes from Stanford, MIT, McKinsey, and infrastructure companies like Vercel. Across enterprise AI, data infrastructure, and premium e-commerce, we've published award-winning AI research at NeurIPS, architected multi-million dollar platforms, and scaled brands on Shopify.
We're backed by Andreessen Horowitz, Flex Capital, and angel investors from Apple, Airbnb, Square, Stripe, and Coinbase. Notable angels include Soleio, Terrence Rohan, Lenny Rachitsky, Molly Mielke McCarthy, Michael Curtis, Michael Abbott, and Nemil Dalal.