Insider Brief
- Sereact raised $110 million in a Series B round led by Headline to expand its warehouse robotics platform in the U.S. and scale Cortex 2.0, its next-generation robotic AI system.
- The Germany-based company is opening its first U.S. office in Boston and said more than 200 of its systems are deployed across Europe, completing over 1 billion production picks with roughly one in every 53,000 requiring remote human intervention.
- Cortex 2.0 combines a vision-language-action model with a world model that lets robots simulate multiple actions before moving, helping improve precision in warehouse and manufacturing tasks such as picking, packing, assembly and kitting.
German robotics software company Sereact has raised $110 million in a Series B funding round led by Headline, with participation from Bullhound Capital, Daphni and Felix Capital. Existing investors Air Street Capital, Creandum and Point Nine also participated, according to the company.
Sereact said the funding will support two priorities: scaling Cortex 2.0, the latest version of its robotic “brain,” and opening its first U.S. office in Boston to support commercial, engineering and application teams.
What Does Sereact Do?
Sereact develops software that allows industrial robots to perform picking, packing and assembly tasks in warehouses and manufacturing environments. Its system is designed to work across different robot types, including single-arm picking cells, dual-arm returns stations, humanoid robots and fixed automation cells.
The company reports more than 200 Sereact systems are now deployed across Europe, completing more than 1 billion real-world production picks for customers including BMW, Mercedes-Benz, Daimler Truck, PepsiCo and Austrian Post. Sereact said roughly one in every 53,000 picks requires remote human intervention.
At the center of the expansion is Cortex 2.0, which moves beyond traditional robotic vision systems that react after a failed grasp. Instead, the company said the platform uses a vision-language-action model combined with a world model that allows robots to simulate multiple possible actions before moving.
The system evaluates potential future outcomes based on factors such as object stability, collision risk and efficiency, then selects the highest-scoring path. The goal is to reduce failed attempts in tasks where precision matters, such as placing fragile parts, assembling components under tension or kitting parts that must be oriented correctly for the next production step.
Sereact said the model is trained on production data rather than synthetic simulations, using a feedback loop built from every robot in operation. Each pick, failure and recovery is captured with synchronized visual data, robot state and force feedback, then used to retrain and redeploy updated models across the fleet.
“We bet early that you can’t build real robotics AI in a lab,” CEO and co-founder Ralf Gulde said in the announcement. “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. The numbers show it worked. Two hundred systems. One billion picks. One intervention per 53,000. Nobody else is close.”
Sereact was founded in 2021 and is headquartered in Stuttgart. With the latest round, the company said it has raised more than $140 million to date.
