Skilled hands, taken over by robots
Sewing-Specialized RFM
A robot foundation model that learns skilled hand techniques, and a data-collection glove we built for sewing.
Learn more →Data Flywheel
Collect, learn, deploy, update: the more robots deployed, the stronger the model grows.
Learn more →Vietnam Field Validation
We are collecting data at LTS VINA, a factory with 1,200 skilled workers.
Learn more →Sewing is still done by human hands
Soft materials that change shape are hard for conventional robots to handle.
Unstructured soft materials
Fabric stretches, folds and slips. Following fixed coordinates cannot deliver consistent quality.
Rising labor costs and lost expertise
Labor costs at Southeast Asian production bases rise every year, and skilled workers' know-how is never captured as data.
Cost of replacing equipment
A new automated line means replacing the factory's equipment wholesale. MOTUS mounts onto existing sewing machines.
It starts with people, and robots take over
Skilled workers' techniques are collected as data and learned, then a robot continues the work on the same sewing machine.
Skilled hands become data
From straight and curved to box and 3D curved seams, we record expert motion on site, process by process.




MOTUS News
From AI and robotics to food tech: IBK Chang-Gong Guro 16th cohort demo day showcases promising startups
An article on the technologies promising startups presented at the IBK Chang-Gong Guro 16th cohort demo day.
MOTUS, a physical AI company automating sewing, wins top prize at K-Camp Gangwon 6th Demo Day
Won the top prize among seven participating companies at the demo day of Korea Securities Depository's Gangwon accelerator program.
MOTUS develops a physical-AI sewing robot solution
Introduces a sewing-specialized RFM solution that automates straight and curved flat sewing of unstructured soft materials.
Code021 begins cooking-robot development with MOTUS and Cafe Cubano F&B
Combines MOTUS's robot AI model for flexible material handling with in-store cooking data, targeting commercialization within 18 months.
One factory's success calls the next factory
We welcome inquiries about sewing automation, data collaboration and investment.









