For premium brands
AI is the new shelf.
Your brand belongs on it. In your own voice, with your current imagery, season after season.
The problem
Today, AI describes your brand from leftovers.
When a customer asks ChatGPT about your brand, the answer comes from old press releases, retired campaign images, and third-party reseller blurbs. The tone is wrong. The imagery is last season. The brand has no say in any of it.
Today, without Trevise
User asks ChatGPT: "Tell me about this brand's evening bags."
Black handbag, leather
Source · 2022 wholesale feed
"A black bag from the brand's collection. Made of leather. Available at select retailers worldwide."
With Trevise
User asks ChatGPT: "Tell me about this brand's evening bags."
The Marchesa Clutch
Maison Atelier · Fall 26
"Hand-finished in Florentine silk satin, with a sculpted brass clasp drawn from the house's archive. An understatement that holds the room."
What Trevise does
One source of truth.
Every AI surface.
Trevise consolidates fragmented product data into a structured, brand-aware feed built for the Agentic Commerce Protocol and equivalent standards. Brand voice intact. Current imagery. Multilingual. Refreshed continuously, so LLMs describe, recommend, and depict each piece faithfully across every model.
Your fragmented data
Trevise
Reconciled
Faithful AI representation
01
Connect
We integrate with your SAP, PIM, DAM, BI tools (Power BI, Looker), and the spreadsheets your team actually uses.
02
Reconcile
We turn fragmented data into a structured, brand-aware catalog. Materials, sizing, current-season imagery, and brand voice are treated as first-class attributes.
03
Publish
Your structured feed publishes to the Agentic Commerce Protocol and equivalent standards. ChatGPT, Gemini, Claude, and Perplexity describe and depict your products correctly, in any language, refreshed continuously.
On data privacy
Your unreleased work stays unreleased.
Trevise ingests only current-season and past-season products that are already on the market. Future-season designs, internal lookbook concepts that never went into production, and market-specific exclusives never leave your systems. The boundary is set by what your brand has already chosen to make public; nothing else crosses it.
- · Current-season and past-season products in market: included
- · Future-season designs not yet released: excluded
- · Lookbook concepts never produced: excluded
- · Market-specific or regional exclusives: excluded
By the numbers
10+
internal systems holding fragments of a single product's data inside a typical fashion brand
5
languages a global brand maintains in parallel, often inconsistently
0
control most brands have today over what AI says or shows about their products
Why now
AI is leaving the chat box.
Claude, ChatGPT, Gemini and the next generation of LLMs are heading into design tools, creative workflows, regional markets, and enterprise integrations. Every new surface is a new place a brand can show up correctly, or get it wrong.
A client browsing through a personal AI stylist. A creative director generating a season concept inside an AI design tool. A buyer's assistant comparing one brand's line to another. Each of these surfaces is being built right now, and your brand has no presence on most of them.
Trevise is the canonical source layer that feeds every AI surface a premium brand touches. Built for the Agentic Commerce Protocol and the multi-model standards emerging across ChatGPT, Gemini, Claude, and Perplexity. One feed. One brand voice. Every model, every market, every season.
"When someone asks an AI for a recommendation, the brand finally shows up like itself."
New surfaces emerging
- Conversational shopping (ChatGPT, Perplexity)
- AI design tools (Claude Design, generative imagery)
- Personal stylist and shopping concierge agents
- AI search overviews (Google, Bing)
- Enterprise commerce copilots
- Visual search and virtual try-on agents
Team
We built this from inside the room.
Trevise is founded by an operator with merchandising experience across Dior, Saint Laurent, Alaïa, Thélios, and Prada, alongside builders who have scaled products at high-growth startups. Between us, we know how product data actually moves through a fashion house, where it breaks, and how to fix it.
Drawn from
01
Inside the maisons
Merchandising work at Dior, Saint Laurent, Alaïa, Thélios, and Prada. Five houses, three of the four major luxury groups.
02
Product & engineering
Built and shipped products at scale at high-growth startups.
03
Go-to-market
A track record of taking new categories from zero to enterprise revenue.
Get in touch
We're working with select brands now.
If you run digital, brand, or e-commerce at a premium brand, we'd love to talk.
hello@trevise.ai