Robotics Startup Mowito Raises $3 Mn To Expand US Presence

New Delhi, India Jul 7, 2026 ALN: Bengaluru-based robotic startup Mowito has secured $3 million (almost ₹28.6 crore) in a pre-seed funding round led by Version One Ventures, with participation from All In Capital, Unisol, and iSeed. This funding marks a significant milestone for the company, which aims to leverage this capital to enhance its presence in the competitive robotics market, particularly in the United States.

The funding round also saw participation from notable angel investors including Soumith Chintala, the CTO of Thinking Machines Lab; Adarsh Kulkarni, founder and CEO of Foundry Robotics; Ashish Kulkarni, cofounder and chief executive of Coformer.ai; and Vaibhav Domkundwar, founder and CEO of Better Capital. The involvement of these seasoned professionals highlights the potential that investors see in Mowito's innovative approach to robotics and AI.

Mowito plans to deploy the fresh capital to fuel its expansion into the United States, a market known for its advanced manufacturing capabilities and technological adoption. The startup aims to strengthen its engineering and go-to-market teams, scale deployments across automotive and electronics manufacturers, and advance its physical AI platform. By focusing on these areas, Mowito intends to enhance its operational capabilities and customer reach, which are crucial for long-term success in the robotics industry.

“We believe robots should learn the same way people do: by observing and repeating. This funding allows us to accelerate that vision, expand globally, and bring Physical AI to more manufacturing environments,” Mowito cofounder and CEO Puru Rastog said.

Founded in 2024 by Puru Rastog and Adityanag Nagesh, Mowito is building AI models that operate standard industrial robot arms. The startup’s physical AI technology enables these robots to learn from human operators, allowing them to perform new tasks directly on the factory floor without the need for traditional coding methods. This innovative approach significantly reduces the time and resources required for programming robots, making them more adaptable to changing manufacturing needs.

Mowito currently operates in Bengaluru and Detroit, supporting customers in automotive and electronics manufacturing. The company has made notable strides in its early operations, claiming that Mowito-powered robots are already functioning on manufacturing lines at a Fortune 500 automotive company and at one of the world’s largest electronics contract manufacturers. These partnerships underscore Mowito's capability in delivering valuable solutions to major industry players.

The development comes at a time when AI integration for efficient manufacturing use cases is pushing India towards independent production and aligning it with the rapidly growing technology sector. With the Indian government actively promoting initiatives aimed at enhancing the manufacturing landscape, startups like Mowito are well-positioned to capitalize on these trends.

Several startups leveraging AI to ease manufacturing processes are gaining traction from investors. For instance, deeptech manufacturing startup Ethereal Machines raised $28.5 million (about ₹272 crore) in its Series B funding round in June to expand its footprint in the US and Europe. This trend indicates a growing interest in AI-driven solutions within the manufacturing sector, as companies seek to improve efficiency and reduce operational costs.

Moreover, the Indian government has been proactive in fostering an environment conducive to technological advancements in manufacturing. IT Minister Ashwini Vaishnaw, at the CII Annual Business Summit 2026, stated that global tech giant Google is “seriously” considering manufacturing AI servers in India. This potential move by Google highlights the increasing confidence that multinational corporations have in India as a hub for technology and manufacturing. Additionally, Vaishnaw disclosed that HP has already commenced production in the country, further indicating a shift in global manufacturing dynamics towards India.

The implications of Mowito's funding and the broader trend of AI integration in manufacturing are significant. As more companies adopt AI technologies, the manufacturing landscape is expected to undergo substantial transformations. These technologies not only enhance productivity but also enable manufacturers to respond more swiftly to market demands and operational challenges. The ability to deploy robots that learn and adapt on the job can lead to more efficient production processes, reduced downtime, and ultimately, lower costs for manufacturers.

Additionally, the success of Mowito and similar startups could inspire a new wave of innovation in the robotics sector, encouraging further investment and research into AI-driven manufacturing solutions. As these technologies mature, they may also create new job opportunities in areas such as AI development, robotics maintenance, and systems integration, contributing to the overall growth of the tech ecosystem in India.

In conclusion, Mowito's recent funding round is a testament to the growing interest and investment in robotics and AI technologies within the manufacturing sector. As the startup prepares to expand its operations and enhance its technological offerings, it stands at the forefront of a transformative period for manufacturing, both in India and globally. The integration of AI in manufacturing processes promises to reshape the industry, making it more efficient and responsive to the ever-changing demands of the market.

To further understand the implications of Mowito's innovations, it is essential to recognize the broader context of robotics and AI in manufacturing. The global manufacturing landscape is increasingly characterized by the adoption of advanced technologies, with AI and robotics playing pivotal roles. These technologies are not merely enhancing productivity; they are redefining the nature of work within manufacturing environments.

As companies like Mowito develop robots that can learn and adapt, the need for traditional programming may diminish. This shift could democratize access to robotics, allowing smaller manufacturers to implement advanced solutions that were previously only available to larger corporations. Such democratization could lead to a more competitive manufacturing landscape, where innovation is not solely the domain of industry giants.

Furthermore, the rise of AI-driven robotics comes at a crucial time when global supply chains are being reevaluated. The COVID-19 pandemic exposed vulnerabilities in supply chains, prompting companies to seek more resilient and flexible production methods. Mowito's technology, which allows for rapid adaptation to changing tasks and workflows, could be instrumental in creating more agile manufacturing environments capable of responding to disruptions.

In addition, the environmental implications of robotics and AI in manufacturing cannot be overlooked. As industries strive to reduce their carbon footprints and enhance sustainability, the efficiency gains from AI-enabled processes could contribute to greener manufacturing practices. Mowito's focus on developing adaptable robots may allow manufacturers to optimize resource use and minimize waste, aligning with global sustainability goals.

As Mowito embarks on its expansion journey, it will undoubtedly face challenges, including competition from other robotics startups and established players in the market. Nevertheless, the support from prominent investors and the growing interest in AI technologies provide a strong foundation for its growth. The startup's ability to innovate and respond to market needs will be crucial as it navigates the complexities of the US market and beyond.

Ultimately, Mowito's journey reflects a larger narrative of technological evolution within the manufacturing sector. As the lines between human and machine labor continue to blur, the future of work in manufacturing will likely be characterized by collaboration between humans and AI. This collaboration promises not only to enhance efficiency and productivity but also to foster a new era of innovation that could redefine manufacturing as we know it.