Skild AI · Robot Foundation Model

S1

A robot foundation model built as an in-context learner: it performs manipulation tasks from one or a few video demonstrations with no fine-tuning or post-training, on horizons up to ten minutes — potting a plant, cooking pancakes, pour-over coffee, kit assembly. Pre-trained on 1k-100k hours of teleoperation, egocentric video and simulation. Skild reports 96% accuracy on in-distribution long-horizon tasks and 66% success out of distribution at the 100k-hour scale, a 7x improvement over language prompting alone, and estimates one demonstration is worth roughly 380 post-training examples. Available to commercial partners and early access only.