Daina Burnes and the Trouble With Medium

A medium is an impressively confident word for such an uncertain proposition. It appears on a shirt as though everyone has agreed what it means. Then the parcel arrives, the sleeves stage a small rebellion, and the customer discovers that the agreement was largely imaginary. Daina Burnes has spent much of her working life examining the space between that label and the person expected to wear it.

Her route into apparel software began with an inheritance of knowledge. She comes from a family of master tailors. Her own training took her toward engineering and data, away from the cutting table. Eventually, the two paths met. Bold Metrics, the company she co-founded with Morgan Linton, applies machine learning to a question her family understood long before online shopping: how will this particular garment sit on this particular person?

There is something pleasingly practical about that ambition. Clothes have to accommodate shoulders, movement and personal taste. An attractive product photograph can postpone these considerations until delivery. Burnes wants to bring them forward, to the moment when someone is deciding whether to buy.

A family business, by another route

Burnes grew up around Toronto. Her family’s tailoring history reaches back to Lithuania and Germany in the early twentieth century, before the family established tailoring businesses in Canada. She pursued engineering, moved to Boston for an MIT summer research program, and stayed on for two years working on optical imaging and image processing. Graduate work at UCLA followed.

It was an education in extracting useful information from things that were difficult to measure. It also gave her a substantial life in academic research before she became an entrepreneur. When she left her doctoral program to concentrate on Fashion Metric, the predecessor to Bold Metrics, she was choosing a different setting for her technical work.

Even the name had a modest origin. Morgan later recalled that Daina had registered FashionMetric.com for a fashion blog she was considering. A company needed a name; she already possessed an appropriate one and its web address. The domain preceded the business. For once, a founder’s naming exercise came with the paperwork conveniently settled.

The customers arrived before the website

The early idea took shape through Lean Startup Machine and AngelHack. Burnes won the former competition and became a finalist at the latter. Mark Cuban became an early investor. These events helped turn an experiment into a full-time commitment, but the work that followed was less theatrical: speak to customers, understand their difficulties, and try to fit their shirts.

Fashion Metric initially operated as an online clothing store. Before the full website existed, the team used a landing page and phone calls to deliver a concierge service. Dress shirts gave them a specific starting point. They worked with a brand partner on made-to-measure shirts, using the technology’s estimated measurements to test the outcome against actual garments.

That sequence is revealing. A dress shirt supplies an awkwardly concrete examination. Its collar and cuffs offer several opportunities to be wrong at once. Starting there meant the company had to deal with the result someone wore, rather than the elegance of an algorithm alone.

In 2014, Fashion Metric joined Techstars Austin. The founders moved from Los Angeles for the program and stayed afterward. A $1 million seed round announced in January 2015 brought the total raised at that point to $1.4 million. Tahoma Ventures led, with investors including Corsa Ventures, Elementum Ventures and Geekdom Fund.

Money made more hiring and development possible. The company’s commercial direction was changing, too. Other retailers could use the measurement technology without asking Fashion Metric to sell their clothing. The useful invention could travel farther than the original shop.

When the name became too small

By December 2016, Fashion Metric had announced a new name: Bold Metrics. It was also exploring sporting equipment and virtual reality, with tools intended for equipment fitting and true-to-size avatars. The broader identity reflected a broader possibility for body measurement data.

“It’s a data-centric approach inspired by an old skill.”

Daina Burnes, 2016

The sporting and virtual reality experiments belong to that period of the story. Today, Bold Metrics describes its work around apparel brands and retailers. Its own account dates the original algorithm development to 2012 and the SaaS relaunch to 2017. The change took place across years, with a rebranding announcement arriving before the later business identity settled.

For Burnes, the expansion did not require discarding the family connection. A tailor begins with the wearer. A retailer working across a website has to find a way to recover that relationship through information. Moving from a clothing store to software meant offering that capability to businesses with their own customers, garments and ideas about fit.

The smallest possible homework assignment

Burnes’s technical proposition has a deliberately undramatic front door. Shoppers answer four to six simple questions. The system estimates more than 50 body measurements, compares the resulting profile with garment information, and supplies personalized sizing guidance. The company calls the measurement profile a digital twin.

Much of the effort goes into deciding what to ask. In her February 2025 discussion of the technology, Burnes described research to identify a minimal set of useful inputs that people could readily answer. Requiring a shopper to perform a complicated measurement ritual would create another reason to abandon the purchase.

Smart Size Chart supplies a ready-made interface. Virtual Sizer gives brands an API so they can build their own experience around the same underlying capabilities. The distinction matters to a founder selling to retailers: some want a tool they can install; others want the engine inside something they design themselves.

Personal preference complicates the mathematics in a useful way. Two people with similar dimensions can want different amounts of room. Burnes has emphasized that the shopper should be able to judge whether a garment will feel snug or loose. Accuracy therefore has to leave space for taste. A measurement can describe a body; it cannot appoint itself that body’s stylist.

Persistence is part of the specification

Burnes speaks about founding a company with considerably less romance than the standard origin story allows. In a 2019 interview in Seoul, she emphasized comfort with risk, disorder and uncertainty. She also argued for having a technical co-founder who shares responsibility through difficult periods.

“You have to be comfortable working in chaos because it’s not going to be orderly.”

Daina Burnes, 2019

Morgan Linton remains Bold Metrics’ co-founder and CTO. Their collaboration connects the early retail experiments to the company’s current technical work. Persistence, in this account, means continuing to solve the commercial and engineering problems after the competition ends and the initial excitement has worn off.

Burnes also advises founders through accelerator networks. Her public speaking biography identifies her as an angel investor and a mentor associated with Techstars and IgniteNI, advising on financing and product development. Those are subjects she has encountered from inside a business that changed its model while it was being built.

Recognition followed along the way. Her professional profile lists a 2021 Stevie Award for Female Entrepreneur of the Year in Business Products. In May 2022, Bold Metrics announced an $8 million Series A led by Bessemer Venture Partners, bringing disclosed total funding to $12.3 million. The financing supported plans to expand the team and research and development.

The question reaches the cutting table

Burnes’s ambitions extend beyond recommending which existing size to purchase. Aggregated body measurements can help a brand examine how its garments are designed and graded. The longer-term question becomes whether the available clothing reflects the customers who actually shop there.

This is a natural extension of her original problem. Advice at checkout can help someone choose among the sizes on offer. Better information earlier in the process can help a design team examine those sizes themselves. Burnes has described the opportunity to connect shopper data to product design and inventory decisions.

Her public explanations also distinguish measurement profiles from personal identity. She has said the technology does not require collecting personally identifiable information. That is a design choice with particular relevance to a business asking consumers for information about themselves, even when the immediate request looks like a simple shopping quiz.

A new conversation, an old question

On March 24, 2026, Gap Inc. announced predictive fit guidance using Bold Metrics’ sizing protocol alongside its separate work on conversational checkout. Gap described placing personalized size recommendations inside AI-driven shopping experiences, where the customer is already considering a purchase.

Burnes’s own announcement called the product Agentic Sizing Protocol and identified Gap as the launch partner. She described developing it with Linton, paying particular attention to performance, security and the efficiency of requests. Her focus had moved to another shopping interface while the underlying problem remained familiar.

An assistant can discuss a jacket conversationally. Deciding which size to suggest still requires information about the jacket and the wearer. The new interface gives Burnes another place to apply the same stubbornly physical reasoning. Somewhere beneath the conversation, sleeves still have to end in the right place.

That continuity gives her career its shape. The family craft, the engineering education, the shirt experiments and the software business all circle the same practical obligation: understand the person well enough to make a useful recommendation. Fashion has supplied plenty of mysterious labels. Burnes has built her working life around asking what, exactly, they mean.