Neatsy.ai offers a fit-tech SDK that uses iPhone X+ TrueDepth 3D scanning to measure feet on-device with claimed 1–2 millimetre accuracy and preserve user privacy. The AI currently produces personalized fit recommendations for a limited set of sneaker brands (Nike, Jordan, Converse, Adidas, Reebok, Yeezy, Puma, New Balance, Asics, Under Armour and Vans). The company has pivoted to a B2B model focused on selling its SDK to e-tailers and charges based on Monthly Active Users. Neatsy reports an ARR of $120,000 from two signed e‑commerce marketplace customers and has several pilots underway; its paying clients are currently in Europe. It cites a 39% reduction in shoe returns and a roughly 20% increase in ARPU (about $0.50/month per user) from deployments. With the seed, Neatsy plans to expand supported footwear categories (including formal and children’s shoes), launch web and Android versions, simplify integration, and build a customer success team. The company is also developing algorithms to detect foot conditions (e.g., flat feet, pronation/supination) and is consulting an orthopedist after interest from sports teams. Neatsy AI’s core product is an iOS app that uses the iPhone front-facing depth sensor to create 3D foot scans and generate personalized fit scores for sneaker models. The app is soft launched on iOS and due to launch officially next month, and is currently available in the US, UK, Germany, France, Italy, Spain, Netherlands, Canada and Russia. Neatsy analyzes scans with a machine learning model trained on scanned insoles and factors such as shoe materials to predict comfort across brands including Puma, Nike, Jordan Air and Adidas. The startup says it has a US patent for its 3D scanning technology and is continuously refining the algorithm with user fit feedback. In commercial pilots the team reported a 2.7x reduction in size-based sneaker returns and a 1.9x decrease in returns overall in a 140-person focus group. Today the app operates as a direct-to-consumer ecommerce channel with revenue share when users buy sneakers; the company’s longer-term plan is to sell its fitting tech to ecommerce retailers as a B2B integration.

Total raised

$1M

Funding rounds

2

Latest round

Seed

Latest activity

Nov 2021