Inner Sky Labs exits stealth with $30.9M round and Kavach safety layer for physical AI

What's the deal? Inner Sky LabsDealroom has a profile for this one. Try Dealroom → has emerged from stealth with a US$40.7M round and a full stack of foundation models that let machines sense, decide, and act safely around people. The round involves existing backers YourNest Venture CapitalDealroom has a profile for this one. Try Dealroom → and Keshav R Murugesh, alongside new global investors.

What's the endgame? The company is building foundation models for physical machines — the kind used in construction, warehousing, farming, and manufacturing. Its stack gives a machine three capabilities: sensing its surroundings, deciding what to do, and an independent safety check before any move.

The products: Perception models read the world — the Drishti vision series, the Shruti audio series, and the Sparsh touch models, which let a robotic hand tell an egg from a wrench. Action models Kriya, Prana, and Karma plan and carry out movement and predict what happens next.

The headline act: Kavach — Sanskrit for "shield" — checks every action a machine is about to take and can stop it. Before a robotic arm swings across a factory floor, Kavach verifies the space is clear, the speed is safe, and the move stays within allowed limits. If any check fails, the arm does not move.

Why now? Inner Sky Labs says the stack took 10 years to build. Much of the world's economy — by some estimates up to 80% of global GDP — is created in the physical world, where language models alone fall short.

The signal: As robots move closer to people in real workplaces, trust becomes the gating factor. Inner Sky Labs is betting that a dedicated safety layer, not just smarter perception, is what lets physical AI scale.

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Image credit: Generated with Gemini