Sereact: $110 Million Series B Funding Raised To Expand AI-Powered Robotics Platform

By Amit Chowdhry ● Today at 7:28 AM

Sereact announced a $110 million Series B funding round to accelerate the development of its artificial intelligence models that enable robots to operate more autonomously and adapt to real-world environments. The round was led by Headline, with participation from Bullhound Capital, Felix Capital, Daphni, and existing investors, reflecting strong investor confidence in Sereact’s software-first robotics approach. The company did not disclose its valuation.

Founded in 2021, Sereact develops hardware-agnostic AI models designed to power intelligent robotics systems across industries such as logistics, warehousing, and manufacturing. Its technology enables robots to understand their surroundings and execute tasks dynamically, without relying on rigid, pre-programmed instructions. This approach positions Sereact at the forefront of embodied AI, where machines can reason, adapt, and act in complex environments.

The company’s platform builds on its Vision-Language-Action Models, enabling robots to interpret visual inputs and natural-language commands in real time. These capabilities enable automation systems to handle a wide range of unpredictable tasks, significantly improving flexibility and efficiency compared to traditional robotics solutions.

Sereact has already seen adoption among major enterprise customers across logistics and industrial sectors and continues to expand its international footprint. The new funding will support further product development, scaling of its AI models, and expansion into additional markets.

The Series B round follows earlier funding rounds, including a $5 million seed round and a €25 million Series A, underscoring the company’s rapid growth trajectory and increasing demand for AI-driven automation solutions.

As industries face labor shortages and rising operational complexity, Sereact positions its technology as a foundation for next-generation robotics, helping machines perform complex tasks with greater autonomy and intelligence.

KEY QUOTES:

“We bet early that you can’t build real robotics AI in a lab. 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.”

Dr. Ralf Gulde, CEO And Co-Founder, Sereact

“The robot dreams in latent space. We give it a form of imagination – the ability to anticipate how the world will respond before it moves. We don’t build robots. We don’t sell services. We ship one thing: the model that runs on any robot. Single arms, dual arms, humanoids, fixed cells – same brain across all of it. Hardware is becoming a commodity. The model isn’t.”

Marc Tuscher, CTO And Co-Founder, Sereact

“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. 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. Customers love the product, which leads to continued expansion, only accelerating the data flywheel – this is why we are so excited to back Sereact.”

Trevor Neff, Growth Partner, Headline

“After looking at a deluge of humanoid robotics companies, my fellow Partner Alon Kuperman and I were delighted to meet Ralf and Marc, the co-founders of Sereact, who have built an AI operating system that seamlessly retrofits into the world’s vast fleet of industrial robots already in action.”

Per Roman, Founding Partner, Bullhound Capital

“We see Sereact as a new generation European champion, combining deep industrial know-how with world-class AI and robotics talent to tackle one of the hardest challenges in global supply chains. At its core is a powerful, compounding data moat – where every warehouse interaction makes the system smarter and harder to replicate. We’re proud to partner with the team and support their ambition to define the category of physical AI for the world’s largest retailers and wholesalers.”

Antoine Nussenbaum, Co-Founder And Investor, Felix Capital

 

 

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