We're introducing a new class of foundation models built for high-fidelity raw physical interaction – designed to capture human-level reflexes and physical commonsense. Today we are sharing that these capabilities are scaling.
One-shot assembly is a new addition to our internal evaluation tasks: you build small Lego structure, place it in front of the robot, and the robot builds copies of it. This requires visual understanding, next-level dexterity, precision, and sequential reasoning.
To push the frontiers of what end-to-end AI models can achieve in the real world, we've been training models and evaluating their capabilities for dexterous sensorimotor policies across different embodiments, environments, and physical interactions.
At Generalist, we are on a mission to make general-purpose robots a reality. We believe the industries and homes of the future will depend on humans and machines working together in new ways. Robots can help us build more and get more done.
We're starting with a focus on dexterity, which requires advancing the frontiers of data, models, and hardware.
Our team previously helped build this, this, and this. We're backed by Spark Capital, NVIDIA, Boldstart Ventures, Bezos Expeditions, NFDG, and others.
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