Sneaker Suitable Start, Neatsy.ai, Raises $ 1 million seed fund after b2b pivot Investors around it include Cabra VC, Flyer One VC and some unnamed business angels.
In March 2019 by Artem Semionov (former leader of the machine learning team at Prism Labs) It is now fully focused on selling SDKs to e-Taylor.
Neasty approach is based on the iPhone X or later 3D scanning technology (hence TruthDepth camera for FaceID) – so (currently) it only works for iOS users.
AI is also only trained to provide personalized recommendations for certain sneaker brands at this stage Nike, Jordan, Converts, Adidas, Rebock, Yezi, Puma, New Balance, Asix, Armor and Vance.
But it is expanding its recommendations to match the financial support of the race.
For those who can touch the device, Netty Technology says it measures the foot’s accuracy from 1-2 millimeters (also shows that all checks are made to protect the privacy of the user’s device).
B2b mode for himl, Neasty is generating SDK usage revenue based on the number of users – setting an active user price per month.
And for e-retailers, it reduces average shoe returns by 39% because online consumers are able to choose the best size pair for their feet because they can get an imaginative measure in the best possible way – which also claims a 20% increase in ARPU (or an additional $ 0.5 / s). Translated by user per month).
It has so far registered two eCommerce markets / fashion industry enterprises – to earn an annual revenue (ARR) of $ 120k last year.
He also listed a number of future pilots who he thought would be converted to payroll customers.
“All wage earners are currently in Europe, and we are seeing great potential for continued release into European markets. We are also preparing entry-level products for thousands of SMB stores and brands, ”said Semionov.
“We’re also looking at the US market, because we have a lot of brands currently testing our technology (yet for free) but we have high hopes here. Maybe Nike will announce the launch of distribution. Nike Fit app for two years But he had never seen the light of day before. We are happy to help them with our techniques (jokes, no).
Encouraged to register more e-mails, Neasty plans to use the proceeds to boost its product development. In the face of this, Semionov said he wanted to include supportive shoes – regular shoes and children’s shoes.
He said he is trying to improve AI by selecting specific foot conditions such as flat feet and hyperpronomy.
Launching technology versions for the web and Android is also on the card, as 3D in-camera cameras have expanded over the past few years – and many Android smartphones are packaging this kind of camera hardware (like Samsung Deposit Vision Tech).
The seed fund will also continue to streamline the product integration process and build a customer success team, according to Semionov.
Asked about possible orthopedic issues, Semyanov said after Nestie met with the NFL San Francisco 49ers last year that he was interested in how 3D metrics could be used in situations such as suction.
”[The 49ers were] I want to know if we can test the ability of newcomers to walk and isolate, as it is very important for future players. Prone is a major cause of injury in athletics. We were unable to support SF49ers at the time, and we have never considered this feature before. We began researching the topic and concluded that after some experiment and research, we could make it work properly.
“If you look at the legs from the side, you can tell if they are swinging or hanging, and we ‘see’ the legs with the camera measuring depth and distance, so we teach algorithms to identify that.”
Semimanov added: “This is definitely one of the few developments for the netting industry. “We are currently consulting with an orthopedist and this is a big problem not only for professional athletes but for everyone.”
Smartphone cameras are fostering a lot of activity (and investor activity) in the digital health space – many beginners are using camera-based monitoring to treat musculoskeletal disorders (e.g. Kaya Health).
When it comes to retail use, NCI is looking to support a specialist kit suitable for skis and skis – Semionov said – because skis are expensive (“and it always hurts people to misunderstand the size”).
However, he said that in the near future, the focus will be on increasing the number of tips suitable for children’s shoes, because the issue of size can be difficult, especially for small feet.
He also has e-commerce-related ambitions – if he can get 3D-scanning to work on other retail issues.
“I always say that in the future, all sizes or charts will be obsolete, and there will only be ‘your size’ for each customer,” he said.