Inner Sky Labs, the creator of the Miko companion robot, has introduced a physical AI platform for industrial robots, aiming to raise ₹300 crore to support its expansion. The platform includes safety controls and AI models designed to help machines understand and interact with their environments.
TL;DR
- Inner Sky Labs launches a physical AI platform for industrial robots, targeting ₹300 crore in funding.
- The platform includes safety controls and AI models for visual, auditory, and tactile understanding.
- The company aims to expand into factories, warehouses, and other industrial settings.
What happened
Inner Sky Labs, based in Mumbai, has unveiled a physical AI platform designed to enable robots to understand their surroundings, make decisions, and ensure safety before taking action. The platform is part of the company's move into industrial settings, including factories and warehouses.
The company is also in the process of closing a ₹300 crore funding round, which includes existing backers YourNest Venture Capital and Keshav R. Murugesh, along with new global investors. This follows previous funding rounds that have raised over $80 million from investors including Chiratae Ventures, IvyCap Ventures, and 360 ONE.
Inner Sky Labs has developed several AI models for its platform, including Drishti for visual interpretation, Shruti for auditory processing, and Sparsh for touch. Additionally, it has introduced action models Kriya, Prana, and Karma to help machines plan movements and predict outcomes.
Why it matters
The launch of the physical AI platform marks Inner Sky Labs' entry into the industrial robotics market, a significant shift from its consumer-focused Miko robot. This move could open up new revenue streams and growth opportunities for the company.
The ₹300 crore funding round will support the company's expansion into industrial settings, where the demand for advanced robotics and AI solutions is growing. This could position Inner Sky Labs as a key player in the physical AI market, which is expected to reach a $50 trillion opportunity, according to Keshav R. Murugesh, an early investor and advisor to the company.
The success of the physical AI platform will depend on its reliability and effectiveness in real-world industrial environments. The company's experience with Miko and its focus on safety could give it an edge in this competitive market.
Key facts
- Inner Sky Labs is seeking ₹300 crore in funding to support its expansion into industrial settings.
- The company has developed AI models for visual, auditory, and tactile understanding, as well as action models for planning movements.
- Inner Sky Labs has introduced Kavach, a safety system designed to check a machine's planned movements before allowing them to happen.
- The company has previously raised over $80 million from investors including Chiratae Ventures, IvyCap Ventures, YourNest Venture Capital, and 360 ONE.
- Inner Sky Labs' Miko companion robot is present in more than 140 countries, according to the company.
- The physical AI platform is available to qualified partners by invitation and can be run through the cloud, on own infrastructure, or directly on devices.
- Inner Sky Labs has not disclosed its valuation, the full investor list for the proposed round, or how the fresh capital will be allocated.
Context
The launch of Inner Sky Labs' physical AI platform comes at a time when the demand for advanced robotics and AI solutions in industrial settings is growing. Companies are increasingly looking for ways to automate processes, improve efficiency, and enhance safety in factories and warehouses.
The physical AI market is expected to reach a $50 trillion opportunity, according to Keshav R. Murugesh, an early investor and advisor to Inner Sky Labs. This presents a significant growth opportunity for companies that can develop reliable and effective solutions for industrial robotics.
Inner Sky Labs' experience with Miko and its focus on safety could give it an edge in this competitive market. The company's physical AI platform is designed to help machines understand their surroundings, make decisions, and ensure safety before taking action, addressing key challenges in industrial robotics.
