The Indian Startup Using AI and Robotics to Ensure No One Sleeps Hungry

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It began with one family’s quest for the perfect meal—and grew into a mission to ensure no one sleeps hungry, powered by a robot chef.

NOSH Robotics began with a common problem—getting the right food at the right time. Co-founder Yatin Varachhia, a Gujarati living in Bengaluru with his working wife, struggled to find a cook who could match their taste and food preferences. This sparked a bigger question: what if kitchen tasks could be automated? What if food could be made to suit personal diets and be available anytime, anywhere?

NOSH Robotics was created to solve this by building robots that prepare meals for people who do not cook often and rely on quick or outside food, which can impact health.

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NOSH Robotics founders: Sudeep Gupta, Co-Founder and Head of Tech & AI (Right), Yatin Varachhia, Co-Founder and Head of Product (Center), Amit Kumar Gupta, Co-Founder and Head of Marketing (Left)
NOSH Robotics founders: Sudeep Gupta, Co-Founder and Head of Tech & AI (Right), Yatin Varachhia, Co-Founder and Head of Product (Center), Amit Kumar Gupta, Co-Founder and Head of Marketing (Left)

NOSH stands for ‘No One Sleeps Hungry,’ aligning with the company’s goal. While discussing the challenges, Yatin said, “The first big problem we faced was getting the food to taste right. We had to build a machine that could add the right amount of spices and handle all kinds of ingredients. Then came the challenge of mixing and cooking. As humans, we can move our hands in many directions while cooking, but a robot only has one or two motors, so making it mix and cook properly was quite tough.”

To overcome the challenges, they kept building one version after another, improving the design each time. Their approach was simple: do not just discuss—keep building. Brainstorming helped bring in new ideas, but they believed real progress came from testing those ideas with quick prototypes. Government funding supported their prototyping efforts, so they did not face any major money issues while building and testing.

When discussing the electronics angle, Yatin added, “Electronics act as the engine of the system. All motor control and sensing rely on it. The electronics bring together all the mechanical parts, as motors are controlled through them. In total, the system uses eight different types of PCBs, each handling specific tasks like sensing, actuation, motor control, and processing. All these parts work together to make the system function, making electronics a core part of the product.”

The cooking robot has many sensors to help it work. A camera looks at the pan, and a thermal sensor checks the heat across it. A torque sensor tracks how much force is used while stirring to understand how thick the food is. Position sensors like photo interrupters and encoders keep track of moving parts. There are also sensors to measure water and oil levels. For safety, anti-pinch sensors stop the motor if something blocks the way, and fire sensors turn everything off if it gets too hot.

AI plays a key role in helping the cooking robot know when the food is properly cooked, even if the ingredients change each time. It can tell when onions turn golden brown or when curry releases oil, using these signs to decide the right moment to move to the next step.

Manufacturing is handled by contract manufacturers, but the company has its own in-house teams for manufacturing oversight, quality assurance, customer service, technical support, software, AI and machine learning, mechanical and electronics, and design verification.

Testing plays a key role in ensuring reliability. Every design change goes through 5000 cooking cycles, and additional tests include vibration testing for road and sea shipping, drop tests, and environmental chamber tests to check performance under different conditions.

While talking about the revenue, Yatin said, “We have sold 600 units so far, out of which 130 units have been delivered. The remaining 470 units are in different stages—some in logistics, others in manufacturing or on the production line. So far, around ₹3 crore has been received from customers, although the revenue has not been officially booked yet.”

As the product, company, and category are all new, the startup’s main challenge is building market trust and encouraging adoption by helping users understand its benefits and integrate it into daily routines.

Looking forward, the startup is also working on future product versions, improving cost efficiency, and optimising the supply chain. By combining deep tech with everyday cooking needs, the team aims to change how people approach food at home. The journey ahead is about scaling thoughtfully, keeping reliability high, and ensuring no one sleeps hungry.



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