Sereact Raises $110 Million to Scale AI Robotics Software That Predicts Robot Actions

AI Startup Sereact Raises $110 Million for Robots That Predict Consequences

Sereact, a German robotics software company, has raised $110 million in fresh funding to develop its artificial intelligence model that makes robots smarter and more adaptable to different tasks. The Series B funding round was led by venture capital firm Headline, with other new investors including Bullhound Capital, Felix Capital and Daphni, alongside several existing backers, Sereact said on Monday. The company declined to disclose its valuation. The Stuttgart-based startup, whose name derives from "sense, reason, act," develops software that allows industrial robots to perform tasks they haven't been explicitly trained on. Its software already powers machines that pick and deliver components for automakers like BMW AG and Daimler Truck Holding AG. Most of the new funding will be used to build out Sereact's newest AI model, Cortex 2.0, which can help a machine simulate different outcomes and decide what action to take next, said Chief Executive Officer Ralf Gulde in an interview. The company will also expand in the US, he said. Get the Tech Newsletter bundle. Get the Tech Newsletter bundle. Get the Tech Newsletter bundle. Bloomberg's subscriber-only tech newsletters, and full access to all the articles they feature. Bloomberg's subscriber-only tech newsletters, and full access to all the articles they feature. Bloomberg's subscriber-only tech newsletters, and full access to all the articles they feature. Plus Signed UpPlus Sign UpPlus Sign Up By continuing, I agree to the Privacy Policy and Terms of Service. Venture capitalists increasingly see robotics as the next wave of AI, as the underlying models become smarter and components become cheaper. Humanoid robots are in the early stages of moving out of startups and labs to the real world, mostly in manufacturing settings. Global investment in the sector more than tripled year over year to $27.6 billion in 2025, according to data from PitchBook. Sereact peer Neura Robotics is raising about €1 billion ($1.2 billion), Bloomberg News reported. One bottleneck for adoption is that robots are reactive, meaning that errors like dropping items are likely to happen and hard to undo, according to Sereact. The startup's newest model would enable robots to anticipate likely errors before they happen and act accordingly, similar to the way a human might adjust their grip when picking up a cup of coffee to avoid spills. Gulde drew a comparison to the newer generation of reasoning models from large language model providers like OpenAI and Anthropic PBC., but for the physical world. Besides building its own model, Sereact trains on publicly available world models including Nvidia Corp.'s Cosmos Reason. The company already has 200 robotics systems running on its Cortex model. The systems are a mix of single-arm robotics, dual-arm systems and wheeled mobile robotics. Gulde said the company is targeting a growing need in the market: processing returned goods. Unpacking and restocking items can be expensive, and Gulde said robots can help retailers sort through the products, assess the item condition and cut costs. The startup is in talks with H&M. Besides Stuttgart, Sereact also has offices in Zurich and Boston. It counts former Formula 1 World Champion Nico Rosberg as an investor.

Sereact raises $110 million to scale its AI that makes any robot adaptable

The round is led by Headline, with new investors Bullhound Capital, Felix Capital, and Daphni. Valuation is undisclosed. Sereact's vision language action models already run in BMW, Daimler Truck, and logistics customers. The $110M is more than four times the €25M Series A raised just 15 months ago. Sereact, the Stuttgart-based AI robotics software company, has raised $110 million in a Series B round led by Headline, the international venture firm with offices in Berlin, San Francisco, and Paris. New investors Bullhound Capital, Felix Capital, and Daphni joined alongside several existing backers. The company declined to disclose its valuation. Funds will be used to develop Sereact's core AI model, one that "makes robots smarter and more adaptable to different tasks", and to scale deployment across logistics, manufacturing, and, increasingly, humanoid robot platforms. Sereact was founded in 2021 by Ralf Gulde (CEO) and Marc Tuscher (CTO), both former AI researchers, at the University of Stuttgart. The company's technical approach is grounded in Vision Language Action Models (VLAMs): AI systems that combine computer vision, natural language understanding, and action planning into a single model, allowing robots to perceive their environment, interpret instructions, and execute physical tasks without requiring complex programming or environment-specific pre-training. A robot picking a fragile object can, in principle, evaluate whether its planned grip will cause damage before its gripper closes.That capability is the meaningful differentiator in a market where most industrial robotics still operate on pre-programmed sequences that assume a controlled, predictable environment. Warehouses, manufacturing floors, and logistics facilities are not controlled environments: objects arrive in unpredictable orientations, packaging varies, and edge cases are constant. Sereact's software-first approach, explicitly positioned against the hardware-first strategies of most robotics companies, is designed to make robots adaptable to this variation without requiring engineers to reprogram them for each new object type or layout change. In Gulde's formulation from the Series A announcement: "with our technology, robots act situationally rather than following rigidly programmed sequences." The commercial record behind the Series B is substantive. Customers include BMW Group, Daimler Truck, the Dutch e-commerce fulfilment company Bol, and logistics specialists MS Direct and Active Ants. The deployment at automotive OEMs is editorially significant: BMW and Daimler Truck are not pilots or proof-of-concepts, they are production environments where the economic cost of a robot failure is measured in line stoppages. Sereact's technology reaching production at that tier of customer is the validation signal that distinguishes it from the large number of AI robotics companies still operating at the demonstration stage. The funding trajectory makes the ambition of the round clear. Sereact raised $5 million in seed funding in 2023, €25 million (approximately $26 million) in a Series A led by Creandum in January 2025, and now $110 million in April 2026, a more than four-times step-up from the Series A in fifteen months. Creandum's Johan Brenner captured the investment thesis at the Series A: "most AI robotics companies are currently hardware-first. What sets Sereact apart is their software-first, foundational approach which means they have the potential to become the brain of any robot that requires vision and autonomous capabilities." That thesis, a software-first robotics intelligence layer deployable across any hardware platform, is essentially the same thesis that has made Mobileye valuable in autonomous vehicles and that Nvidia is pursuing through its Isaac robotics platform: the idea that the highest-margin position in robotics is not the robot itself but the intelligence running it. The broader market context is accelerating. Humanoid robot deployments by Figure AI, Boston Dynamics, and Unitree are moving from controlled tests to commercial production at warehouse and manufacturing customers. The global humanoid robot market, valued at under $1 billion in 2023, is projected to exceed $38 billion by 2030. Tesla's Optimus production ramp, targeting volume output from July 2026, will require robotics intelligence software at scale. Sereact's explicit intention, stated at the Series A, to expand beyond logistics into humanoid robot platforms positions it to compete for that market. The $110 million Series B is the capital raise that makes that expansion credible.

Sereact raises $110M to scale AI 'robotic brain' and expand into the US - SiliconANGLE

Sereact raises $110M to scale AI 'robotic brain' and expand into the US German robotics startup Sereact GmbH announced today that it had raised $110 million in new funding to scale its artificial intelligence "robotic brain" platform and expand into the U.S. Founded in 2021 by Ralf Gulde and Marc Tuscher, both former AI researchers at the University of Stuttgart, Sereact builds software that allows industrial and warehouse robots to handle tasks they have not been explicitly programmed to perform. The company's Cortex foundation model for robotics interprets natural language instructions and translates them into physical actions, letting operators redirect a robot to a new task without writing new code. The latest version of the company's model, Cortex 2.0, includes features that augment a vision-language-action model with a world model. The system generates a set of candidate future movements from the robot's current state, runs them against a learned model of physics and object behavior and scores each one for stability, risk and efficiency before acting. Sereact describes the approach as letting robots predict the consequences of their actions, a pitch that differentiates it from rivals such as Physical Intelligence Inc., Skild AI Inc. and Covariant AI Inc. that rely more heavily on end-to-end vision-language-action models. Sereact software is hardware-agnostic and runs across robotic arms, mobile manipulators and humanoid platforms from multiple suppliers. The company's customers include Bayerische Motoren Werke AG, Daimler Truck Holding AG, PepsiCo Inc. and European e-commerce logistics operators Bol and Active Ants. The company has more than 200 of its systems deployed across Europe and has completed more than 1 billion production picks, with roughly one in every 53,000 requests requiring remote human intervention. The Series B funding round was led by Headline VC, with Bullhound Capital, Felix Capital Partners, Daphni SAS, Creandum AB, Air Street Capital Ltd. and Point Nine Capital GmbH also participating. "The physical AI opportunity is one of the largest we've seen in a generation and we believe it will rewire global supply chains and manufacturing," said Trevor Neff, growth partner at Headline VC. "Behind great opportunities and great companies are great founders and Ralf and Marc are building into that opportunity the right way: real deployments, real data and a model that compounds and gets better with every single pick." The funding will be used to accelerate development of Cortex 2.0 and to push into the U.S. market, where Sereact plans to open its first American office in Boston and hire commercial, application and engineering staff locally. The new funding takes the total raised by Sereact to more than $140 million, with the company last having raised a round of $26 million in January 2025.

Sereact Raises $110 Million to Scale AI Robotic Brain | PYMNTS.com

By completing this form, you agree to receive marketing communications from PYMNTS and to the sharing of your information with our sponsor, if applicable, in accordance with our Privacy Policy and Terms and Conditions. The company announced the Series B funding round Sunday (April 26), saying it would help Sereact expand into the U.S. and scale Cortex 2.0, its "robotic brain" that it says "augments a vision-language-action (VLA) model with a world model." Most work involving world models, Sereact's announcement said, happens in research labs using synthetic data, while Cortex 2.0 is trained on more than a billion "picks" of real production. "We bet early that you can't build real robotics AI in a lab," Sereact co-founder and CEO Dr. Ralf 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. The numbers show it worked. Two hundred systems. One billion picks. One intervention per 53,000. Nobody else is close." Sereact's customers include companies such as Active Ants, Austrian Post, BMW, Daimler Truck, Mercedes-Benz and PepsiCo. The company said it first deployed its technology to warehouses as no other environment offers the same mix of data points: "billions of real interactions, every object shape imaginable, hard throughput constraints, and consequences when the robot gets it wrong." Sereact is part of the "physical AI" field, or AI models that simulate the behavior of things in the physical world. As PYMNTS wrote last month, the recent focus on this field "reflects a shift in the AI startup landscape away from general-purpose tools toward systems that can perform defined tasks in sectors such as robotics, healthcare, logistics and enterprise software." Interest in physical AI has risen in the midst of a broader debate about the role robotics could play in furthering artificial intelligence. Tesla CEO Elon Musk has contended that humanoid robots could pave the way for artificial general intelligence (AGI), suggesting that machines that can interact with the physical world could lead to greater progress in autonomy and reasoning. "While the claim remains speculative, funding patterns suggest investors are betting that AI systems connected to real-world environments could become a major frontier of innovation," that report added. In related news, last week saw a report that Amazon founder Jeff Bezos was working on a $10 billion funding deal for his physical AI effort, code-named "Project Prometheus."

German Robotics Firm Sereact Raises $110 Million for AI Model Expansion

German robotics software company Sereact has secured $110 million in a Series B funding round. The company said the capital will support the development of its latest AI model, Cortex 2.0, and expansion into the United States market. The Stuttgart-based firm builds AI systems for used in manufacturing and logistics. It currently works with more than 100 live robotic deployments across Europe and the United States. Investors said the funding reflects growing interest in robotics software that can handle complex physical tasks in real environments.