Start-up sereact is making robots smarter and has raised 110 million dollars in funding

Ralf Gulde and Marc Tuscher, alumni of the University of Stuttgart, have developed a proprietary AI model that turns robotic grippers into autonomous assistants for warehouses and production facilities. Their startup sereact, founded in 2021, distinguishes itself by training its AI on real-world motion data—over one billion data points—rather than simulations, allowing robots to adapt without prior programming. The company’s Cortex 2.0 neural network now enables robots to plan and act proactively, solving real-world tasks like sorting parts or inspecting returned items for clients such as Mercedes-Benz, BMW, and online supermarket Knuspr.de. The technology is already operational in customer facilities, with robotic grippers deployable in hours and capable of handling unfamiliar tasks. sereact’s centralized neural network connects a global fleet of AI-powered robots, continuously improving through real-time learning. The latest update, Cortex 2.0, introduces a world model that gives robots a deeper understanding of their environment and the consequences of their actions. With $110 million in new funding, sereact plans to expand into the U.S. market, establishing an office in Boston, a leading robotics hub. The funds will also accelerate development for complex applications, including healthcare, where field studies with humanoid robots are underway. The company has grown from its 2021 founding to over 100 employees across Europe and the U.S., generating millions in annual revenue. Support from the University of Stuttgart’s technology transfer programs played a key role in sereact’s success, according to Gulde. The founders emphasize the region’s potential for innovation and encourage others to pursue entrepreneurial ventures. Their long-term goal is to extend AI-driven robotics beyond industrial settings into unpredictable environments like hospitals and laboratories.