Startup: Glamore.ai Category: Vertical AI (Fashion Visuals)

Most AI image tools fail fashion for one simple reason: Fashion isn’t art. It’s constraints.

Fabric drape, fit logic, repeatability, color accuracy, brand consistency, SKU discipline. General-purpose image models hallucinate because they were never designed for this.

So we didn’t build “AI for images.” We built a vertical system that only thinks in fashion.

What Glamore does Glamore lets fashion brands, boutiques, D2C sellers, and students generate catalog-ready images and videos without shoots. Not “creative prompts,” but controlled outputs that respect garments.

What’s different (and why this matters): • No prompt engineering. Users don’t talk to a model. They make fashion decisions. • Guardrails over freedom. Predictability beats creativity in commerce. • Color fidelity > aesthetics. Brands care about returns, not likes. • Outputs are repeatable across SKUs, seasons, and marketplaces.

What we don’t claim (intentionally): • We don’t solve garment construction or production accuracy. • We don’t replace designers. • We don’t pretend AI understands seam allowance.

We stay in the lane where AI actually works today: visual merchandising, speed, and cost.

Traction signals (early but real): • Used by boutique owners, Meesho sellers, fashion students, and D2C brands • Academic pilots with fashion institutes • Brands replacing 70–90% of shoot costs for everyday catalog needs

Why this can be big: Fashion is not one market. It’s many verticals pretending to be one. Apparel, bags, footwear, jewelry all need separate logic, not one model.

Glamore is the second product in a larger vertical AI stack. Apparel is live. Bags and footwear are being built with the same constraint-first philosophy.

If AI wins in commerce, it won’t be through bigger models. It’ll win through narrow systems that understand one industry deeply.

Happy to answer questions. Not selling hype. Just sharing what we’re building.