We are rethinking how clothes are made

We build technology that helps fashion move from standard sizes
and overproduction to on-demand, personal and scalable production.

“ShapelyTech was founded from years of experience with made-to-order and made-to-measure fashion.
We saw what works, what does not, and what is missing to make personal fit scalable. So we are building the technology to bridge that gap.”

Wendy Heijne

Shapely founder

The hidden cost of fashion

Woman wearing light-colored jeans and a white tank top standing in front of a mirror, adjusting her jeans indoors with a cardboard box labeled 'RETURN' and folded clothes nearby.

45 billion garments discarded

Millions of garments end up in outlets or landfills each year. Fashion is optimized for volume, not demand.

Person wearing light-colored jeans and white tank top adjusting their jeans while looking at themselves in a full-length mirror in a sunlit room with boxes and clothing nearby.

30–50% returns

A high number of online fashion purchases are returned, mostly due to poor fit rather than issues with quality or style.

Man sorting orange and beige clothing piled on wooden pallets inside a spacious warehouse with shelves of boxes in the background.

Up to 40% overproduction

Millions of garments produced are never sold. Mass production drives overstock and waste.

Fixing fashion at its core

We do not treat returns or overproduction as isolated problems. We focus on the underlying systems — how clothing is designed, sold, and produced — because that is where lasting change happens.

We change how clothing is delivered and produced. Instead of treating fit as a recommendation or an afterthought, we are building a system that links customer input, fit logic, automated pattern creation and production.

By integrating these steps into one system and working with the brand’s existing setup, we enable on-demand and made-to-measure production that can scale. A single approach designed to replace fragmented tools with a more intentional way of making clothes.

Our strategic pillars

For real bodies

Production based on individual body shapes, sizes and preferences, not standard sizes.

Designed together with the industry

Built in collaboration with brands, manufacturers, and real world use cases.

Built to scale

Automated parametric design and AI make custom fit scalable at industrial volumes.

Why we founded this company

ShapelyTech was founded from first-hand experience inside the fashion industry. After years of working with made-on-demand and made-to-measure production, we saw the limitations of current systems and the potential of on demand at a large scale.

Returns, unsold garments, and wasted resources are not accidents, they are the result of how fashion has been built around standard sizes and mass production.

At the same time we realized that the entire process from how fit is defined to how garments are produced needs to be automated to enable a modern, scalable, and sustainable way of delivering clothing.
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That is why we started ShapelyTech, to build the systems for how fashion needs to work next.

Our vision

We believe the future of fashion is personal, on-demand, and built around real people — not standard sizes and mass production.

At ShapelyTech, we are building the infrastructure that makes this possible. Our technology automates how garments are adapted, patterned, and produced, allowing brands to generate personalized clothing and send it directly to production within hours of an order.

The result is a fashion system based on real demand — eliminating unsold inventory, dramatically reducing returns, and creating lasting value for both brands and customers.

Our team

ShapelyTech brings together pioneers from the worlds of fashion, technology, and advanced pattern engineering.

Our team combines expertise in pattern intelligence, machine learning, software architecture, pattern engineering and technical apparel design. 

Together we are building the systems that enable fashion to move beyond standard sizes toward automated, scalable, made-to-measure production.