Mowito Raises $3 Million Pre-Seed Funding Led by Version One Ventures
Mowito is part of the emerging Physical AI category, where artificial intelligence is used to help robots perceive, learn, and perform real-world tasks autonomously.
Bengaluru-based Physical AI startup Mowito has raised $3 million in a pre-seed funding round led by Version One Ventures.
The round also saw participation from All In Capital, Unisol, iSeed, and prominent angel investors including Soumith Chintala, Adarsh Kulkarni, Ashish Kulkarni, and Vaibhav Domkundwar of Better Capital.
The company will use the fresh capital to expand into the United States, strengthen its engineering and go-to-market teams, and accelerate deployments across automotive and electronics manufacturing companies.
Founded in 2024 by Puru Rastogi, Adityanag Nagesh, and Safar V, Mowito develops Physical AI foundation models that enable industrial robotic arms to learn manufacturing tasks through demonstrations rather than traditional programming. Its software allows manufacturers to automate complex production processes while continuing to use their existing robotic infrastructure.
Before this round, the startup had raised $540,000 in angel funding.
According to the company, its technology is already deployed in live production environments, where it powers robotic systems on the manufacturing lines of a Fortune 500 automotive company. The platform is currently being used for high-precision assembly applications across the automotive and consumer electronics industries.
Mowito is part of the emerging Physical AI category, where artificial intelligence is used to help robots perceive, learn, and perform real-world tasks autonomously. The segment has gained significant global attention as manufacturers seek more flexible automation solutions that reduce programming complexity and adapt quickly to changing production requirements.
While the company integrates with existing industrial robotic systems from manufacturers such as FANUC, Omron, Keyence, and Cognex, it is positioning itself as an AI software layer that enables conventional robots to become significantly more adaptive and intelligent without requiring hardware replacement.