Fit is a mechanical problem, not a labeling one
Anqa Corp is building the measurement infrastructure and data protocol to solve mechanical compatibility in wearables.
Anqa Corp is building the measurement infrastructure and data protocol to solve mechanical compatibility in wearables.
The global footwear and apparel industry loses billions annually to fit-related returns. The root cause isn't bad sizing — it's that sizing itself is the wrong abstraction. A "size 10" is a label, not a measurement. It tells you nothing about the mechanical interaction between a specific foot and a specific shoe.
Current solutions — 3D scanners, AI recommendation engines, size charts — all operate on geometry alone. They can tell you the shape of a foot. They cannot tell you how that foot will experience the interior of a shoe under load, in motion, over time. That's the gap.
The result is an industry where the most expensive moment in the product lifecycle — the one where a consumer puts on a shoe and decides it doesn't fit — remains fundamentally unpredictable.
Lost annually to fit-related returns in footwear alone — before accounting for apparel and protective equipment
Of online footwear returns are attributed to fit and sizing issues — a problem that has not improved despite digital sizing tools
Existing systems measure the mechanical compliance, pressure distribution, or dynamic interaction between body and product
Every current approach captures a snapshot of shape — not the time-varying mechanical reality of fit during use
Anqa treats fit as what it is: an engineering problem. We are building metrology hardware that captures the mechanical interaction between bodies and products — not just their shapes — and a structured data protocol that makes those measurements interoperable across the industry.
Instrumentation systems designed to measure what optical scanners cannot: internal geometry, contact pressure, mechanical compliance, and dynamic fit behavior in cavities and enclosures that are opaque, constrained, or geometrically complex.
A structured data representation that encodes the mechanical compatibility between a body region and a product cavity. SizeKey moves beyond scalar size labels to a format that captures the multidimensional reality of fit — enabling predictive matching between any measured body and any measured product.
Computational infrastructure that takes body and product SizeKey profiles and generates compatibility predictions. The engine provides a quantitative basis for fit confidence — replacing subjective sizing recommendations with mechanical evidence.
Footwear is the entry point: high return rates, structured geometry, existing digital manufacturing workflows, and a clear economic case for better fit prediction. But the underlying problem — mechanical compatibility between bodies and enclosures — exists everywhere a product interfaces with the human form.
Founder & Director
Anqa is founded by Ibrahim Chishti, whose background spans chemical engineering, enterprise data architecture, and applied analytics. He currently works in data engineering at a major North American credit bureau, building large-scale data infrastructure in a highly regulated environment.
This combination of engineering fundamentals, data systems thinking, and experience with complex data interoperability problems is what drives Anqa's approach: treating fit not as a UX problem to be solved with better recommendations, but as a metrology and data infrastructure problem to be solved with better measurement and better protocols.
Anqa is incorporated under the Canada Business Corporations Act and is headquartered in Toronto, Ontario.
We welcome inquiries from researchers, industry partners, and organizations working on fit, metrology, or wearable product development.
info@anqacorp.com