Companies and products
Skild AI
Updates on Skild AI's robotics products, models, research, funding, applications, and partnerships.
6 selected · 0 in the last 30 days
Skild AI ·
Skild AI releases physical self-play post-training results; S1 model learns soccer in simulation and transfers to humanoid robots
Skild AI announced that it post-trained its foundation model S1 through physical self-play, letting the policy play against a recent version of itself with scoring as its sole objective. In NVIDIA Isaac Sim, over 140 years of simulated time, it learned skills such as dribbling past opponents, shielding the ball, and tackling, and these skills were successfully transferred to humanoid robots for matches. The authors believe self-play can break through the capability ceiling of pretrained human data, and the next step will be to extend it to everyday tasks such as collaborative manipulation and city-scale navigation.
Skild AI ·
Skild AI annual recurring revenue tops $100 million, outlines deployment-first robotics strategy
Skild AI announced that its annual recurring revenue (ARR) has surpassed $100 million, of which $50 million was confirmed within 10 months of starting deployments. It has more than 60 paying customers, covering material handling, delivery, inspection, security, food service, and warehouse, factory, and data center scenarios; about 90% of revenue comes from manipulation tasks, with mobility accounting for 10% (of which AMR solutions account for 4%).
Skild AI ·
Skild AI releases robot foundation model S1, achieving in-context learning through video demonstrations
Skild AI released the robot foundation model S1, which uses video demonstrations as task prompts and can execute manipulation tasks not seen during training without fine-tuning, with long-horizon tasks lasting up to about 10 minutes. At a pretraining data scale of 100,000 hours, the ICL model achieved a 66% success rate on unseen tasks, compared with 9% for the language-prompted VLA; a single demonstration was equivalent to about 380 post-training demonstrations, and the planting task took 11 minutes from recording the demonstration to autonomous execution. S1 was trained on NVIDIA AI infrastructure and has already been put into use with commercial partners.
Skild AI ·
Skild AI Acquires Zebra Technologies' Robotics Division to Advance Warehouse Deployments
Skild AI announced the acquisition of Zebra Technologies' robotics division (formerly Fetch Robotics), and plans to deploy Skild Brain in warehouse settings to automate end-to-end fulfillment processes. Zebra's Symmetry Fulfillment scheduling platform has been validated in logistics environments, where it can coordinate tasks among robots and frontline workers; the company says the acquisition will accelerate its data flywheel and expand into more verticals and robot form factors.
Skild AI ·
Skild AI partners with ABB Robotics, Universal Robots, and NVIDIA to deploy Skild Brain
Skild AI announced partnerships with ABB Robotics and Teradyne-owned Universal Robots and MiR to integrate its general-purpose model Skild Brain into industrial robots, eliminating task-by-task programming and using post-training fine-tuning with a small amount of task data.
Skild AI ·
Skild AI announces completion of $1.4 billion Series C funding, valuation exceeds $14 billion
Skild AI announced the completion of a $1.4 billion Series C funding round led by SoftBank, with participation from NVentures (NVIDIA), Macquarie Capital, Jeff Bezos, and others, at a valuation exceeding $14 billion.