Sureform connects workplaces like hotels, warehouses, and restaurants with robotics labs to collect task-specific training data for world models and robot foundation models.

Problem

To create a future where robots can reliably perform specialized tasks, like restocking inventory in a pharmacy or repairing downed power lines, robotics teams need massive amounts of task-specific human and robot data. Data that’s crafted in simulation or in controlled environments doesn’t reflect the natural variation and complexity of the world, and as a result, we need significantly more real-world action data across each of the millions of highly-specialized physical tasks that need to be automated.

Solution

To solve this problem, Sureform’s platform enable robotics teams to get task-specific data from workplaces like hotels, construction sites, laundromats, and warehouses, where employees are equipped with head-mounted RGB cameras, stereo depth rigs, and handheld grippers that capture time-synced video, audio, pose, depth, and tactile data as they work. Every session of data captured through our platform is structured, synchronized, and delivered training-ready.

https://www.youtube.com/watch?v=JNt7ev_ClxM

Our Ask

If you’re working on robot foundation models or world models (or know anyone who is), reach out to ananth@sureformhq.com or schedule a meeting here: https://calendly.com/sureform-us/30min

And if you own or work at a business that’s interested in growing revenue through data collection and, later down the line, automating physical ops with robots, reach out as well!