The company behind Miko’s children’s companion robots is taking the technology it spent nearly a decade developing and opening it to a much wider world of physical machines.
Inner Sky Labs has unveiled a suite of foundation models for physical AI spanning vision, audio, touch, action and safety. The platform is designed to help robots and other machines understand their surroundings, plan physical movements and check those actions against predefined safety rules before execution.
The system is organised around three layers. Perception models include Drishti for vision, Shruti for audio and Sparsh for touch. Action models Kriya, Prana and Karma use those inputs to plan movement and anticipate outcomes, while Kavach operates independently as a safety layer capable of blocking actions that violate predefined operating rules.
The broader push moves the company beyond Miko, which served as its first consumer application and a long-running test environment for conversational and physical AI. Inner Sky Labs says its technology can now support industrial arms, mobile robots, humanoids, quadrupeds, vehicles and surveillance systems, with customers able to adopt individual models or the complete platform.
The startup is also closing a ₹300 crore funding round involving existing backers YourNest Venture Capital and Keshav R Murugesh alongside new global investors. If completed, the round would take its total funding to about $100 million. The capital is expected to support real- world data collection, computing infrastructure and further model training.
Commercial deployments have already begun, with Inner Sky Labs saying it has completed four to five large enterprise and government deployments, including outside India. Its bigger bet is that robot manufacturers will increasingly prefer shared foundation models over spending heavily to develop perception, movement and safety intelligence independently for every machine.
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Startup Unplugged
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