German Startup Sereact Raises $110 Million to Scale AI Robotic Brain

# German Startup Sereact Raises $110 Million to Scale AI Robotic Brain

Stuttgart-based robotics company Sereact has closed a $110 million Series B round to scale its AI-powered robotic brain and plant its flag in the United States, betting that warehouse and factory automation needs something most competitors still lack: robots that can think before they act.

The round, equivalent to roughly 93 million euros, was led by Headline with participation from Bullhound Capital, Daphni, and Felix Capital. Existing investors Air Street Capital, Creandum, and Point Nine also joined. The capital will fund two priorities: scaling Cortex 2.0, the next generation of Sereact's core platform, and opening a Boston office this summer to pursue the North American logistics and manufacturing market.

Founded in 2021 by Ralf Gulde and Marc Tuscher, both graduates of the University of Stuttgart, Sereact has taken an unusual path in an industry crowded with lab demonstrations and research prototypes. Rather than perfecting robots in controlled settings, the company pushed systems into live production environments from the start and used the resulting data to train its models.

"We bet early that you can't build real robotics AI in a lab," Gulde said. "You build it with a data flywheel fed by real deployments -- shipping into production, living with the failures, and letting the model learn from what actually happens on the floor."

That flywheel has now generated staggering numbers. More than 200 Sereact systems are live across Europe, making it by its own account the most widely deployed AI picking robot company in the world. Those systems have collectively completed over one billion real production picks with an error rate of just one in 53,000 -- a reliability figure that sets the company apart in a field where real-world performance data remains scarce.

"Two hundred systems. One billion picks. One intervention per 53,000. Nobody else is close," Gulde added.

The client roster reinforces the production credibility. BMW, Daimler Trucks, Mercedes-Benz, PepsiCo, Austrian Post, Active Ants, and Rohlik Group all run Sereact systems. These are not pilot programs or innovation-lab showcases; they are deployments embedded in live supply chains where downtime translates directly to lost revenue.

At the center of the company's technology is Cortex 2.0, a platform that combines a vision-language-action model with a world model. Where a standard VLA model perceives a scene and selects an action, Cortex 2.0 goes a step further. It generates a set of candidate future trajectories, simulates each one against a learned model of physics and object behavior, and scores them for stability, risk, and efficiency. The system then picks the highest-scoring path and updates in real time as the scene changes. In practical terms, the robot can anticipate what will happen if it grasps a fragile item at a certain angle or stacks a heavy box on a light one -- before it commits to the action.

This architecture addresses one of the central bottlenecks in warehouse robotics. Most AI picking systems handle predictable, well-structured items competently but struggle with the long tail of irregular, deformable, or unfamiliar objects that populate real fulfillment centers. By pairing perception with forward simulation, Sereact aims to shrink that failure tail dramatically.

The timing of the US expansion is strategic. North America remains the largest market for warehouse automation, and demand has accelerated as labor shortages and e-commerce growth squeeze logistics operators. Boston, with its deep robotics talent pool anchored by MIT and a cluster of automation companies, gives Sereact a recruiting and partnership base. Competing against established players like Berkshire Grey, Covariant (now part of Amazon), and a wave of well-funded startups will require both technical differentiation and rapid customer acquisition -- exactly what the $110 million is designed to enable.

The broader context matters too. The warehouse robotics sector has seen a wave of consolidation and funding in 2026, with investors increasingly favoring companies that can demonstrate production-grade reliability rather than impressive demos. Sereact's billion-pick track record and roster of blue-chip customers give it a strong narrative on that front.

Still, scaling from 200 European systems to a global footprint presents real challenges. Establishing US operations, adapting to different warehouse configurations, and competing for talent against deep-pocketed incumbents will test whether the data flywheel advantage translates across the Atlantic. The Series B gives Sereact the runway to find out.

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Sources: [PYMNTS](https://www.pymnts.com/news/investment-tracker/2026/sereact-raises-110-million-to-scale-ai-robotic-brain/), [SiliconANGLE](https://siliconangle.com/2026/04/27/sereact-raises-110m-scale-ai-robotic-brain-expand-us/), [Tech.eu](https://tech.eu/2026/04/27/german-robotics-startup-sereact-raises-110m/), [The Robot Report](https://www.therobotreport.com/sereact-gets-series-b-funding-expand-cortex-2-robot-brain-enter-u-s-market/), [EU-Startups](https://www.eu-startups.com/2026/04/bmw-and-pepsico-robotics-partner-sereact-raises-e93-million-series-b-to-scale-across-the-us/)