Control Spaces uses ambient cameras deployed across a workspace to passively observe day-to-day human activities, picking, placing, assembling, sorting, navigating obstacles and converts that continuous visual stream into structured training data for robotic systems. No one stops to "teach" the robot. The robot learns by watching people do their jobs, every single day.
Injester is an AI-native engine that transforms "agent-hostile" websites into structured data interfaces. While the web was built for human attention, our…
Generating the first human preference datasets for robot policies in simulation with Nebius GPUs to understand which policies work best in an objective way…
RoboStore is a self-expanding robot agent platform that enables robots to autonomously detect their own capability gaps, search for hardware solutions in…
10 teams of LLM agents compete on a task. Each team has a randomly generated organizational genome — hierarchy, communication pattern, decision-making style…
Asha is a WhatsApp-native AI assistant that helps small home-based food businesses manage orders and remember customers — all through WhatsApp, with no apps…
robots that undestand the surroundings. location and mapping
