Factories Already Own the Machines. TensrAI Wants to Give Them a Brain

Factories looking to automate usually face an expensive choice: buy an entirely new generation of robots or continue relying on manually operated equipment. Hyderabad-based TensrAI is betting on a third option — add autonomy to machines companies already own.

The physical-AI startup has raised ₹3.4 crore in pre-seed funding from India Accelerator, Finvolve, Hyderabad Angels and other angel investors. The capital will go toward technology development, engineering, deployment capabilities and expansion in India and overseas.

Founded in 2022 by Sai Nikhil Rao Gona, Venkata Sai Charan Chalamalasetty, Harshith Uppalapati and Vivek Datta, TensrAI is developing a common autonomy stack for industrial robots, vehicles and existing machinery. Its technology combines vision-based navigation, AI localisation, vision-language-model reasoning, autonomous mobility and robotic manipulation.

The retrofit angle is central to the proposition. TensrAI says its technology can be added to existing forklifts, carts and other industrial vehicles without requiring companies to replace their fleets or redesign facilities around the robots. Its platform is being developed for indoor and outdoor environments, including slopes, cracked concrete and uneven industrial terrain.

Potential applications include material movement, assisted picking and cleaning across factories, warehouses, airports, hospitals, malls and commercial campuses. TensrAI is also developing mobile manipulation systems that combine autonomous movement with robotic arms for more complex physical tasks.

The company plans to monetise through robot sales, autonomy retrofits, Robot-as-a-Service and customised deployments. Customer traction and commercial performance have not yet been publicly disclosed, making real-world reliability across different sites the key test ahead. Physical AI is attracting attention because it moves AI beyond screens and into machines that must perceive, reason and act in unpredictable environments. TensrAI’s bet is particularly practical: instead of asking factories to throw away existing equipment, make that equipment intelligent enough to keep working.