Sizebay Tech Stack

AI-powered size and fit recommendations for e-commerce fashion brands

Software Development Austin, Texas 51–200 employees Founded 2014 Privately Held

Sizebay solves fit-related returns through anthropometric AI and virtual fitting rooms integrated into e-commerce platforms. The stack spans computer vision (DINOv2, CLIP, Stable Diffusion), commerce APIs (Shopify, VTEX, WooCommerce), and analytics (Looker, SQL), with recent adoption of ClickHouse and Qdrant suggesting a shift toward vector-based recommendation pipelines at scale. Active projects center on client integrations and returns API work, while the sales-heavy hiring mix (6 sales vs. 3 engineering) and focus on "driving growth of thousands of online stores" indicates a land-and-expand strategy targeting mid-market fashion retailers.

Tech Stack 37 technologies

Core StackOpenAI Shopify JavaScript Node.js Postman Adobe Illustrator Adobe Premiere Pro Figma ClickUp Asana Trello HubSpot ActiveCampaign Google Analytics Looker NestJS DINOv2 CLIP Stable Diffusion Flux VTEX WooCommerce Insomnia Photoshop HTML RD Station Excel Google Sheets Looker Studio SQL+5 more

AdoptingClickHouse Qdrant

What Sizebay Is Building

◆Challenges

Reducing returns from sizing issues
Customer confidence in sizing
Complex integration deployments
Technical support bottlenecks
Returns due to sizing mismatch
Reducing returns due to incorrect sizing
Improving size recommendation accuracy
Driving growth of thousands of online stores
Improving conversion
Retention and renewal

▲Active Projects

New client integration deployments
Returns api integration
Inbound marketing strategy development
Landing page optimization
Content calendar planning
Standardized analysis templates
Financial impact of return reduction
Strategic reporting for qbrs
Developing products using microservices and event-driven architecture

Hiring Activity

Steady10 roles · 4 in 30d

Department

Sales

Engineering

Design

Marketing

Support

Seniority

Junior

Mid

Lead

Senior

Notable leadership hires: Integration Lead

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About Sizebay

Sizebay is a fashion-tech platform that reduces return rates by predicting clothing fit. The core offering derives body measurements from user inputs (gender, height, weight, age) and compares them against manufacturer specs to recommend the correct size and highlight similar items in different fits. The product integrates via plugins into Shopify, VTEX, WooCommerce, and custom e-commerce stacks. Founded in 2014 and based in Austin, the 51–200-person team serves thousands of online retailers globally, with current hiring expansion focused on Brazil. Key operational challenges include scaling integrations, improving recommendation accuracy, and supporting customer success at scale.

HeadquartersAustin, Texas

Company Size51–200 employees

Founded2014

Hiring MarketsBrazil

Frequently Asked Questions

What e-commerce platforms does Sizebay integrate with?

Sizebay natively integrates Shopify, VTEX, and WooCommerce. Custom integrations via REST APIs support additional platforms; returns API integration is actively in development.

What AI models does Sizebay use?

The platform uses DINOv2, CLIP, Stable Diffusion, and Flux for computer vision and image synthesis. OpenAI APIs are also in the stack. ClickHouse and Qdrant adoption indicates vector-based recommendation scaling.