AI excels at digital tasks but struggles with physical world applications due to limited training data. Current datasets for robotics and automation are sparse and expensive to collect.
Create a platform that crowdsources or synthesizes high-quality training data for physical tasks (like grasping objects, navigating spaces). Partner with robotics labs and manufacturers.
Start with one vertical (like warehouse robots) and focus on specific task datasets. Offer data cleaning and annotation services.
Major risk is competing with in-house data collection by deep-pocketed robotics firms.