Sereact secures $110 million to expand its AI technology that allows any robot to become adaptable.

      The Series B round has been led by Headline, with participation from new investors Bullhound Capital, Felix Capital, and Daphni. The valuation remains undisclosed. Sereact’s vision language action models are currently utilized by BMW, Daimler Truck, and various logistics clients. The $110 million raised is over four times the €25 million Series A funding obtained just 15 months prior.

      Sereact, based in Stuttgart and specializing in AI robotics software, has successfully raised $110 million in a Series B funding round, spearheaded by Headline, an international venture capital firm with offices in Berlin, San Francisco, and Paris. New participants in the funding include Bullhound Capital, Felix Capital, and Daphni, along with several current investors.

      The company chose not to disclose its valuation. The raised funds will be allocated to enhancing Sereact’s core AI model, designed to make robots more intelligent and versatile in handling different tasks, and to expanding its deployment in logistics, manufacturing, and increasingly, humanoid robot applications.

      Founded in 2021 by Ralf Gulde (CEO) and Marc Tuscher (CTO), both former AI researchers at the University of Stuttgart, Sereact's technical strategy is based on Vision Language Action Models (VLAMs). These AI systems integrate computer vision, natural language understanding, and action planning into one model, enabling robots to sense their surroundings, interpret commands, and perform physical tasks without extensive programming or environment-specific pre-training.

      For instance, a robot handling a delicate object can theoretically assess whether its planned grip will damage the item before closing its gripper. This ability stands out in a market where most industrial robots still follow pre-set sequences designed for a controlled environment.

      Warehouses, manufacturing spaces, and logistics centers are not controlled environments; items arrive in varying positions, packaging differs, and edge cases are ever-present. Sereact’s software-focused approach, which contrasts with the hardware-centric strategies of many robotics firms, is intended to allow robots to adapt to these variations without the need for engineers to reprogram them for each new object type or layout change.

      In Gulde’s words from the Series A announcement, “with our technology, robots make situational decisions instead of adhering to rigidly programmed sequences.”

      The commercial background for the Series B funding is substantial, with notable customers including BMW Group, Daimler Truck, the Dutch e-commerce fulfillment company Bol, and logistics specialists MS Direct and Active Ants. Deployments at automotive original equipment manufacturers (OEMs) are particularly noteworthy; BMW and Daimler Truck are not merely pilot projects but rather actual production settings where the financial implications of robotic failure can be significant due to potential line stoppages.

      Sereact’s technology being implemented in such high-tier environments serves as a validation signal that sets it apart from many AI robotics companies still operating at the demonstration level. The funding trajectory is clear: Sereact raised $5 million in seed funding in 2023, followed by €25 million (around $26 million) in a Series A led by Creandum in January 2025, and now $110 million in April 2026, representing more than a fourfold increase in just fifteen months.

      Creandum’s Johan Brenner articulated the investment rationale during the Series A: “the majority of AI robotics firms are predominantly hardware-focused. What distinguishes Sereact is their foundational software-first approach, enabling them to potentially serve as the intelligence behind any robot that requires vision and autonomous functionality.”

      This thesis — a software-centric intelligence layer applicable across various hardware platforms — mirrors the premise that has driven Mobileye's success in autonomous vehicles and Nvidia’s initiatives through its Isaac robotics platform: the understanding that the most lucrative aspect of robotics may not be the robot itself, but the intelligence controlling it.

      The broader market context is rapidly evolving, with humanoid robot deployments by Figure AI, Boston Dynamics, and Unitree transitioning from controlled trials to commercial production in warehouses and manufacturing setups. The global humanoid robot market, which was valued at under $1 billion in 2023, is expected to surpass $38 billion by 2030. Tesla’s Optimus production ramp, aiming for volume output starting July 2026, will necessitate scalable robotics intelligence software.

      Sereact’s clear intent, announced during the Series A, to expand beyond logistics into humanoid robot platforms positions it to vie for that emerging market. The $110 million raised in the Series B legitimizes that ambitious expansion.