Up to 80% of robotics engineering teams are consumed by building and maintaining fragmented, complex data systems before they can begin actual innovation. Neuracore, a London-based startup founded in 2024, solves this problem by offering a unified, cloud-native robot learning platform that streamlines workflows from data collection to the deployment of machine learning models in days rather than months.
Today, Neuracore raised $3 million in pre-seed funding led by Earlybird Venture Capital, with backing from Clem Delangue, CEO of Hugging Face, and other industry experts. The new capital will expand its engineering team, accelerate product development, and scale its open-source and commercial communities.
The platform is already in use across more than 50 organisations, including commercial robotics teams and top research labs, and has partnerships with leading hardware makers.
A faster path from robot data to deployed models
Neuracore was founded in 2024 by Stephen James, an Assistant Professor at Imperial College London to tackle the inefficiencies he observed across robotics teams worldwide.
James shares, “In every robotics team I’ve worked with, people were rebuilding the same infrastructure from scratch. Our mission is to remove that duplication and give both researchers and companies the tools they need to focus on real innovation, not on maintaining pipelines.”
Neuracore’s platform brings this entire workflow into a single cloud-based system, allowing robotics teams to go from data collection to operational machine-learning models in days rather than months. The company says this removes bottlenecks that currently take up as much as 80% of engineering time.
James tells TFN, “Our technology tackles the biggest bottleneck in robotics: scalable, cloud-native data infrastructure. Teams using Neuracore are already seeing dramatically faster robot learning iteration, enabling more capable and adaptable systems across industries like healthcare, industrial automation, and beyond. “
Unlike legacy “Frankenstein” setups that stitch together disconnected tools, Neuracore offers a fully integrated ecosystem that drastically reduces engineering bottlenecks. Its platform is deployed across 50+ organisations spanning the commercial and academic sectors, including roles in agriculture, warehousing, manufacturing, and service robotics.
Direct competitors like Clearpath Robotics and Covariant offer robotics solutions but lack Neuracore’s deep cloud-native integration and comprehensive infrastructure approach. Neuracore also supports state-of-the-art algorithms, including imitation and reinforcement learning, and enables custom training and transfer learning for a wide range of robot forms.
What about diversity?
On diversity, James adds, “At Neuracore, diversity drives our innovation. We bring together expertise from all over the world, uniting top talent from industry and academia from Imperial, UC Berkeley, NYU, Meta, Google, DeepMind, and more, here in London. This blend of perspectives ensures we build solutions that are both cutting-edge and broadly impactful. “
What’s next?
Neuracore plans to leverage its recent funding to scale its engineering workforce and continue enhancing its platform capabilities. The company aims to have a global impact by supporting both industry and academia through its free academic program.
James concludes, “We’re focused on building a community around the platform. Our vision is for Neuracore to become the natural home for bleeding-edge robot learning algorithms, a space where engineers and researchers can share, collaborate, and push the boundaries of what robots can do.”
Laura Waldenstrom, Principal at Earlybird Venture Capital, adds, “The robotics industry is at an inflexion 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 did for web applications: a reliable, scalable platform that just works.”
