Telekinesis: Democratizing Robotics with a Physical AI Cloud Platform

Telekinesis: Democratizing Robotics with a Physical AI Cloud Platform

In many factories, setting up robots for tasks like assembly, handling, or inspection requires specialised programming skills and lengthy engineering. Telekinesis, a robotics AI startup headquartered in Darmstadt, Germany, is building a cloud-based Physical AI platform that aims to broaden robot automation to factory floors with less reliance on expert programmers. Its technology is designed to let non-experts design, simulate, and deploy robotic systems for complex work by using visual data, natural instructions, and AI-driven planning. The company’s vision combines elements of intuitive robot teaching with deep learning and physical interaction models, with a long-term goal of making robotics more flexible and accessible for a wider range of industries.

Technology and Product

Telekinesis’ platform is built around Brainwave, a cloud-based Physical AI system that brings perception, planning, and robot control into a unified software layer. Modular components—referred to as reusable “Skills”—cover functions such as object detection, segmentation, motion planning, and task execution. These building blocks allow automation workflows to be configured without writing low-level robot programs. The platform includes visual tools and simulation capabilities that support intuitive robot teaching. According to the company, this setup is intended to shorten deployment cycles and simplify adaptation when parts, layouts, or task requirements change. The architecture is also designed to support different robot types through a consistent software interface.

Brainwave aims to integrate with any hardware on the market, ensuring flexibility and system compatibility (© Telekinesis)

Industrial Fit and Applications

The system is designed for manufacturing environments with high variability, including automotive sub-assemblies, metal processing, and general industrial production. Highlighted use cases include machine tending, vision-guided pick and place, assembly assistance, and inspection tasks that require both perception and precise motion. By offering low-code and no-code interfaces, Telekinesis addresses automation scenarios where traditional programming effort is difficult to justify. Data generated during operation can be used to refine workflows over time, supporting incremental optimisation as production conditions evolve.

Vision AI enables robots to perceive their environment and adapt to changing manufacturing conditions. (© Telekinesis)

Founding Team

Telekinesis was co-founded by Suman Pal and Arjun Datta, both Managing Directors of the company. Their leadership roles encompass strategic direction and operational development of the company’s AI robotics platform. The founders are closely involved in guiding product strategy and commercialization efforts as Telekinesis expands its footprint in industrial automation.