Skild AI hits $100M revenue run rate 10 months after first deployment
What's the deal? Skild AI has crossed $100 million in annual revenue run rate, 10 months after its first commercial deployment. The robotics startup now serves 60-plus paying customers, according to co-founders Deepak Pathak and Abhinav Gupta.
What does it do? Skild builds a general-purpose AI model — the Skild Brain — that runs robots across tasks such as moving goods, deliveries, site inspection, security, and food preparation, plus work inside warehouses, factories, and data centers. Mobility accounts for 10% of revenue; Fetch solutions make up 4%.
Where's it deploying? With NVIDIA and FoxconnDealroom has a profile for this one. Try Dealroom →, Skild runs dual-arm manipulators for high-precision assembly of NVIDIA Blackwell systems. It is also working with Sumitomo Wiring SystemsDealroom has a profile for this one. Try Dealroom → on wire harness manufacturing and piloting kitchen robots with Mitsui & Co.Dealroom has a profile for this one. Try Dealroom →, whose supply chains serve 1.4 million meals a day across Japan.
Why it matters: Skild frames deployment — not lab demos — as the core of robotics progress. "This is why seeing is not believing in robotics," the founders wrote, arguing a robot that is 99.9% accurate but 10 times too slow "is not almost deployable. It's not deployable."
What could go wrong? The company concedes change is constant: suppliers swap components, factories rearrange stations, customers alter assembly sequences. A system that needs new data and retraining for every change struggles to scale.
The signal: Reaching $100 million in run rate this fast signals real commercial pull for physical AI, a field long stuck between impressive demos and reliable, deployed work. Skild's bet is that revenue follows those willing to grind out the last 5% of performance on real factory floors.
Read more: skild.ai
Image credit: Generated with Gemini
