Patterns that fit every body.
We're knitters and makers who got tired of patterns that almost fit — so we built something to make sure they actually do.
Why We Started
Every knitter knows the feeling. You fall in love with a pattern — a sweater, a cardigan, a lacy tee — spend weeks working through it, and hold up the finished piece only to realize it fits the imaginary average person the pattern was written for. Too wide in the shoulders. Too short in the torso. The armhole sits wrong. Not you.
That was Jane. A knitter and designer who'd felt that same letdown one too many times, she figured better size charts weren't the answer, and neither was writing more sizes. What patterns actually needed was math that started with your body, not someone else's average.
“Generate patterns that fit you perfectly.”
— the idea that started it all
How It Came Together
Jane started sketching out the idea in 2018 — patterns built around a knitter's real measurements, not a size chart, not “approximately medium,” but the actual dimensions of an actual body.
The first version came to life in 2019, built by Ram Gandikota and his team at Plural Technology. It proved the idea actually worked: enter your measurements, get a pattern that fits.
In 2025, the whole platform got rebuilt from the ground up, ready to grow with both designers and knitters.
And for the business-minded — here's who's actually behind the curtain.
Built by Noëtic Data LLC
That 2025 rebuild happened through Noëtic Data LLC — the company that owns the KnitFit™ trademark and builds and runs the product today, one of three lines of business it operates alongside PLM consulting (including CIMdata engagements) and SharedLens, a PLM/CAD data-staging platform used by clients including Hypertherm and Hollister. All three lines share one underlying discipline: structured data architecture and systems design for engineering and product data.
Dana Nickerson brought that discipline to KnitFit's platform rebuild — a PLM and CAD consulting career dating back to the late 1970s, including engineering-IT leadership roles at Whirlpool Corporation and a division of Honeywell, applied directly to KnitFit's calculation-engine architecture. That engine was migrated and formalized from an extensive set of legacy calculation logic — a deliberate, businesslike engineering effort, not an informal project.
KnitFit is still, at its heart, a family project — one that happens to be backed by decades of serious engineering.