Meet the Perfect Website Builder for Busy Makers

01 · Business Model

A Digital-Native Fashion Intelligence Platform

Model · Cloud-Scale · Zero Inventory

Sartori is built from the ground up as an AI-native, software-driven company. Our business model is centered on scalable, cloud-powered intelligence—not physical inventory, logistics, or traditional retail overhead. By unifying computer vision, multimodal AI, and real-time wardrobe data, Sartori delivers a fully digital experience that adapts instantly to every user’s style, climate, and purchasing behavior.

Core Operating Principles

Zero inventory, zero physical fulfillment
Cloud-scale AI inference & analytics
Subscription-based personalization features
Cross-retailer product recommendations
Enterprise analytics through the Fashion Data Broker (FDB)

Why This Matters

This digital-native structure lets Sartori scale globally while keeping a lightweight, cost-efficient footprint. Our margin profile is driven by software, data, and insight—not by warehouses or physical goods.

02 · Identity

We Are a Technology Company—Not a Retailer

Positioning · AI Platform · Not Commerce

Sartori is a technology startup specializing in advanced AI systems for personal style, wardrobe intelligence, and retail decisioning. We do not manufacture clothing or sell apparel. Instead, we provide the software, AI models, and data infrastructure that power the next generation of personalized styling and intelligent shopping.

Consumer Platform

Mobile app for wardrobe digitization & smart outfit planning
Personalized recommendations based on a real-time wardrobe graph

Enterprise Platform

Fashion Data Broker (FDB) for SKU enrichment and returns reduction
APIs for personalization, analytics, and shopper intent modeling

Sartori exists to modernize how people understand their style—and how retailers understand their customers.

03 · Business Description

What We Do & Who We Serve

Problem · Solution · Audience

What We Do

Sartori is an AI-powered wardrobe and style engine that helps people digitize their closets, plan outfits, and shop smarter. Using multimodal AI—combining computer vision, embeddings, behavior signals, and metadata—Sartori builds a personalized wardrobe graph for every user and generates daily outfit recommendations, capsule collections, climate-aware styling, and cross-retailer discovery.

Consumer Problems We Solve

“I don’t know what to wear.”
“I waste money buying things I never use.”
“My closet is full, but I feel like I have no options.”
“Shopping online is overwhelming with too many choices.”

Retailer Problems We Solve

High return rates driven by poor fit and styling context
Limited SKU intelligence and incomplete attribute tagging
Weak personalization despite large product catalogs
Low cross-sell and upsell due to fragmented data

Target Audience

Digital-native shoppers (ages 16–44)
Urban professionals with evolving style needs
Capsule wardrobe and minimalist consumers
Fashion-enthusiasts using apps for daily inspiration

Retailers and brands needing better customer intelligence
Resale, rental, and marketplace operators
Independent stylists and small boutiques (SMB SaaS users)

04 · Products

What We’re Building & Where It Is Today

Product · Stage · Roadmap

Sartori App (Consumer)

Stage: In active development with a live 65,000-item demo dataset

A personal wardrobe intelligence system that allows users to:

Scan and digitize their clothing
Store, tag, and manage wardrobe items
Receive daily outfit recommendations and capsule suggestions
Build packing lists and seasonal wardrobes
Shop smarter with personalized product suggestions across retailers

Recommendation Engine (Core AI Layer)

Stage: Functional prototype in optimization phase

The engine that powers Sartori’s intelligence:

CLIP embeddings for image-based understanding
LightGBM reranking for relevance optimization
PCA-optimized vectors for fast, real-time inference
A dynamic wardrobe graph mapping items, outfits, and preferences
Seasonal, weather-aware, and context-aware recommendation logic

Fashion Data Broker (Enterprise SaaS)

Stage: Architecture validated; early pilot design and partner discovery

For retailers, brands, and marketplaces, Sartori’s Fashion Data Broker offers:

Automated SKU enrichment (color, texture, style taxonomy, occasion)
AI-based trend detection, clustering, and wardrobe-driven demand signals
Customer-intent modeling from wardrobe + purchase data
Returns reduction analytics and recommendations
APIs for on-site personalization and product discovery

Sartori Pitch Deck