US robotics software startup Sereact raises $110 million to scale AI-powered automation

Sereact, a robotics software startup, has raised $110 million in a Series B funding round as it looks to accelerate the development of its AI-driven automation technology and expand its global footprint. The round was led by venture capital firm Headline, with participation from investors including Bullhound Capital, Felix Capital, and Daphni, highlighting strong investor confidence in next-generation robotics software.

The company focuses on building AI “brains” for robots rather than manufacturing hardware, enabling machines to perform complex physical tasks across industries such as logistics and manufacturing. Its software uses advanced vision-language-action models that allow robots to understand their environment, interpret instructions, and make decisions in real time, making them more adaptable compared to traditional rule-based systems.

A significant portion of the new funding will be used to further develop Cortex 2.0, Sereact’s latest AI model designed to improve robot decision-making. The system introduces a “world model” capability, allowing robots to simulate multiple possible actions before executing them, thereby increasing precision, and reducing errors in tasks such as picking, assembly, and material handling.

The startup also plans to use the investment to expand into the United States, including opening a new office in Boston and growing its engineering and commercial teams. This move reflects increasing demand for intelligent automation solutions in North America, particularly as companies seek to improve efficiency and address labor shortages in industrial operations.

Sereact’s rapid growth highlights a broader shift in the robotics industry toward software-first innovation, where AI capabilities are becoming the key differentiator. As businesses look for more flexible and scalable automation solutions, startups like Sereact are positioning themselves at the forefront of a new wave of intelligent robotics that can operate across different environments and hardware systems.

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