Sereact raises $110 million Series B to build robots that simulate the consequences of their actions before they act

Sereact Raises $110 Million Series B to Build Robots That Simulate Actions Before Execution

April 27, 2026 - 9:54 am

Sereact, an AI robotics software company based in Stuttgart, has secured $110 million in a Series B funding round led by Headline, with new investors Bullhound Capital, Felix Capital, and Daphni joining existing backers. The company declined to disclose its valuation.

The funds will be used to:

  • Develop Sereact’s core AI model, which makes robots "smarter and more adaptable" to different tasks.
  • Scale deployment across logistics, manufacturing, and humanoid robot platforms.

Founded in 2021 by Ralf Gulde (CEO) and Marc Tuscher (CTO), both former University of Stuttgart AI researchers, Sereact focuses on Vision Language Action Models (VLAMs). These AI systems combine computer vision, natural language understanding, and action planning into a single model, allowing robots to:

  • Perceive their environment.
  • Interpret instructions.
  • Execute physical tasks without complex programming or environment-specific pre-training.

Key differentiators:

  • A robot can evaluate whether its planned grip will damage a fragile object before closing its gripper.
  • Adapts to unpredictable environments and variations in object orientation, packaging, and layout changes – unlike most industrial robotics that rely on pre-programmed sequences.

Sereact’s software-first approach stands in contrast to hardware-first strategies used by many robotics companies.

Notable Customers:

Sereact counts BMW Group, Daimler Truck, Bol (a Dutch e-commerce fulfillment company), MS Direct, and Active Ants among its clients. The deployment at automotive OEMs like BMW and Daimler Truck is noteworthy for its production environments where robot failures can result in significant line stoppages.