Tensrai industrial autonomous robotic system developed for material handling and automation in factory and warehouse environments.
Tensrai has secured ₹3.4 crore in pre-seed funding backed by India Accelerator, Finvolve, Hyderabad Angels and angel investors. The Hyderabad-based startup is developing AI-powered autonomy systems for industrial robots, vehicles and existing machinery.

Hyderabad-based robotics startup Tensrai has raised ₹3.4 crore in a pre-seed funding round led by India Accelerator, Finvolve and Hyderabad Angels, alongside participation from other angel investors. The funding will support the development of its physical AI technology and expansion of its industrial automation capabilities.

Founded in 2022 by Sai Nikhil Rao Gona, Venkata Sai Charan Chalamalasetty, Harshith Uppalapati and Vivek Datta, Tensrai develops autonomous systems that enable industrial machines, commercial vehicles and robots to perform physical tasks with reduced human intervention.

The company’s technology focuses on retrofitting existing equipment with autonomous capabilities, allowing businesses to introduce robotic automation without replacing their current machinery.

Tensrai’s platform integrates computer vision, AI-based localisation, vision-language models (VLMs) and vision-language-action (VLA) technology. These systems are designed to help machines navigate environments, interpret instructions, learn tasks and execute physical operations.

The startup is targeting applications including material handling and cleaning across factories, warehouses, airports, hospitals and other commercial environments.

Tensrai is also developing a general-purpose mobile manipulator that combines autonomous mobile platforms with robotic arms to perform tasks involving movement and object manipulation.

The company plans to use the new capital to accelerate research and development, strengthen its machine learning and hardware engineering capabilities, support deployments and expand its presence in domestic and international markets.

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