For the modern merchandiser
Autonomous fashion brands, run by agents that get fashion.
You spot the opportunity and call the shots. Hopit's agents run the rest — trend to design to ad test to manufacturing to catalog. No design studio. No two-hundred-person org.
You already think like an investor — reading demand, placing bets, managing a book of products against a season. What's held you back was never taste. It was the machinery behind every bet.
A brand at scale used to mean a building: designers, buyers, planners, catalog ops, growth marketers. Every hand-off slow, every seat expensive, and most of the judgment in between just pattern-matching against data no one has time to read.
Hopit's agents absorb that machinery. You keep the taste and the calls. The agents take the rest — so a portfolio that used to need two hundred people runs on a team you can count on one hand.
From a hunch to a hero product. Every step in between, run by agents.
The whole loop — from a hunch to a listing that sells. Agents do the work; you make the calls.
Spot what's about to sell
Agents read culture, search, and the market and surface the openings worth a bet — before they hit a weekly report.
Generate the options
A direction becomes ready-to-review designs in hours, not sprints. You pick the keepers; the agents iterate.
Prove it with spend
Concepts go in front of real audiences as ad creative. Conversion decides what's worth making — not opinion.
Commit with confidence
Only winners go to manufacturing, with quantities and timing backed by demand signal instead of gut alone.
Get found and sell
Every product lands as a clean, search-ready listing tuned for discoverability, CTR, and organic traffic from day one.
The full loop pays off over a season — design, manufacturing, and sales run on an 8–10 week cycle. Discoverability and marketing don't wait: catalog and ad wins land in your first weeks, while the rest of the portfolio loop compounds behind them.
Behind every move is one connected system: it reads the market, cleans up your catalog, sharpens your ad spend, and powers search that actually understands fashion. Tap any product to see what it does for you.
Agents track how the market is moving in near real time: what's selling, where, at what price, against which competitor — plus trend signal from the edges of culture. It's the read that tells you which bets are worth placing.
What a merchandiser feels in the first season: products that get found, spend that converts, and calls made in days instead of quarters.
Placeholder figures — swap in real numbers from your deployments.
Not general models bolted onto fashion. They're trained on silhouette, fabric, fit, and season — so the work holds up to a merchandiser's eye. And it's already running at scale.
Aggregated across live deployments. Customer names to follow as permissions land.
Your data stays yours. Models trained on your catalog, sales history, and design assets run on your infrastructure and belong to you. We don't pool client data or train shared models across brands.
The first open, end-to-end benchmark for fashion search. Model checkpoints on HuggingFace.
Fashion entity recognition — silhouette, fabric, fit, season — turning messy copy into structured records.
Trend velocity from cultural signal — what's rising before it hits a weekly report.
We open-source what generalizes — embedding models, retrieval pipelines, agentic frameworks. What's competitive to your catalog stays inside your walls.
Send us your catalog and we'll show you the discoverability and marketing wins hiding in it — before we ever talk about the full loop. Built for merchandisers who run fashion like a portfolio.
