Neuracorethe UK robotics learning platform for scaling and deploying faster, has closed a €2.5 million ($3 million) pre-seed funding round to help scale its team, accelerate product development, and support Neuracore’s growth.
The round was led by Earlybird Venture Capital, with participation from Clem Delangue (Co-founder and CEO of Hugging Face) and advisors from academia, hardware, and AI.
“After years of working in academic and industrial robotics, I’ve seen teams ranging from labs to warehouse automation startups rebuild the same infrastructure from the ground up.” stephen jamesFounder and CEO. “Our mission is to eliminate that duplication and democratize access to high-performance robotic learning tools. This funding and free academic programs will allow both researchers and companies to focus on advancing robotics itself, rather than building pipelines to support it.”
Neuracore’s pre-seed round sits within a steadily active landscape for European robotics and physical AI in 2025, with several startups securing funding across adjacent segments.
In Sweden, Stockholm-based Rerun has raised €15.6 million to advance multimodal data infrastructure for robotics and autonomous systems. Two major rounds were held in Switzerland. Zurich’s Flexion has secured €43 million to develop reinforcement learning “brains” for humanoid robots, while Mimic has raised €13.8 million to expand its dexterous robot hand technology. Germany’s Energy Robotics raised €11.5 million for autonomous inspection software for industrial sites, and Italy’s Adaptronics raised €3.15 million to expand its adaptive gripper technology.
Together, these 2025 rounds represent approximately €86 million in disclosed capital for the company, which will build its data infrastructure, robotic intelligence layer and advanced operational hardware.
Within this context, Neuracore’s focus on robot learning infrastructure aligns with growing investor interest in fundamental robot software, rather than just application layer systems.
While there are no UK-based robotics infrastructure companies alongside these examples, a series of European funding rounds signals a broader shift across the continent to platforms that standardize data processing, training and deployment for robotics teams.
Laura WaldenstromPrincipal of Earlybird Venture Capital added:The robotics industry is at a tipping point, moving from the ROS 1.0 era to a data-first paradigm powered by deep learning. Teams are still wasting months building and maintaining their own infrastructure instead of focusing on deployment. Neuracore provides what AWS has provided for web applications: a reliable, scalable platform that works reliably. We are excited to support Stephen’s vision of becoming the infrastructure layer for the coming wave of intelligent robotics.”
Founded in 2024 by Stephen James, Assistant Professor of Robotic Learning at Imperial College London, Neuracore is building the core infrastructure powering the next generation of intelligent robots.
Its platform enables robotics teams to go from data collection to deploying machine learning models.day instead of monthThis eliminates bottlenecks that currently consume up to 80% of engineering time.
Neuracore says its software stack replaces fragmented “Frankenstein” robotics setups with an integrated cloud-based system that handles asynchronous data collection, visualization, training, and deployment. Neuracore helps teams focus on innovation, not infrastructure, by integrating a complete robot learning pipeline into one platform.
The platform is used by more than 50 organizations in commercial and academic robotics, including partnerships with hardware manufacturers.
Alongside the funding, Neuracore will launch a free academic program. The program gives universities and research institutions around the world unrestricted access to a complete enterprise platform – the same infrastructure used by commercial customers.
“Academic researchers are building the foundations of tomorrow’s robots,” james I would add. “You shouldn’t spend months setting up a data pipeline. We need to innovate. We want Neuracore to be the backbone that makes that possible.”
Thanks to advances in deep learning and real-world robot deployment, the AI-powered robotics sector is expected to exceed 43 billion euros ($50 billion) by 2030, according to data provided by the company. However, Neuracore says most robotics teams are still limited by infrastructure constraints, often spending months integrating disparate systems for data logging, training, and deployment.
Neuracore’s platform aims to solve this problem by providing purpose-built infrastructure optimized for robotics workflows, from asynchronous data streaming and ML-native storage to one-click deployment and continuous improvement loops.
Neuracore aims to bridge the accessibility gap between research and industry with new academic programs. Universities and robotics labs will now have free and unlimited access to the complete platform, enabling faster experimentation, collaboration, and reproducibility across their institutions.
