Building the cloud platform for robot learning. We help robotics teams collect data, train AI models, and deploy intelligent behaviours at scale.neuracore.app London, UKJoined May 2025
𝗪𝗵𝘆 𝘁𝗵𝗲 “𝗣𝗵𝘆𝘀𝗶𝗰𝗮𝗹 𝗔𝗜” 𝗵𝘆𝗽𝗲 𝗶𝘀 𝗺𝗶𝘀𝘀𝗶𝗻𝗴 𝘁𝗵𝗲 𝗽𝗼𝗶𝗻𝘁.
Everyone’s obsessed with training robots in perfect simulations then deploying them anywhere. Sounds amazing, right?
The reality from Berkeley/Imperial/Dyson:
Week 1: “It works perfectly in…
𝗥𝗼𝗯𝗼𝘁 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗳𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝗹𝘆 𝗱𝗼𝗲𝘀𝗻'𝘁 𝗰𝗮𝗿𝗲 𝗮𝗯𝗼𝘂𝘁 𝘆𝗼𝘂𝗿 𝗲𝗺𝗯𝗼𝗱𝗶𝗺𝗲𝗻𝘁 𝗼𝗿 𝗽𝗿𝗼𝗯𝗹𝗲𝗺 𝗱𝗼𝗺𝗮𝗶𝗻.
Whether your robots are picking strawberries, making beds, or performing industrial tasks, the underlying data collection,…
Our robot arm just cooked risotto better than most of our team!
Using the Neuracore platform we've been able to train our @waveshare00 arm to help during our late-night coding sessions giving us the chance to give our customers faster, smarter, and more precise data.
This is…
Will we see humanoid robots deployed en mass by 2030? Our founder and CEO @stepjamUK whose been working in the field since 2016 shares his thoughts.
𝗪𝗵𝗮𝘁'𝘀 𝘆𝗼𝘂𝗿 𝘁𝗮𝗸𝗲? What do you see as the biggest hurdles for humanoid adoption in your industry?
𝗪𝗲'𝗿𝗲 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝘀𝗼𝗺𝗲𝘁𝗵𝗶𝗻𝗴 𝘀𝗽𝗲𝗰𝗶𝗮𝗹 𝗶𝗻 𝗟𝗼𝗻𝗱𝗼𝗻.
8 months ago, Neuracore was just an idea. Today, we're powering robot learning for teams around the world.
But here's what I'm most proud of: we're building this as an open, collaborative community.…
Outgrowing our space, not our ambition.
Our @AgilexRobotics arm and the team have been putting in serious work building Robot Learning Infrastructure for the future. New office incoming. 📍➡️📍
𝗪𝗵𝗮𝘁 𝗶𝗳 𝗿𝗼𝗯𝗼𝘁 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝘁𝗵𝗮𝘁 𝘁𝗼𝗼𝗸 𝟭𝟰 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝘀 𝘁𝘄𝗼 𝘆𝗲𝗮𝗿𝘀 𝘁𝗼 𝗯𝘂𝗶𝗹𝗱... 𝗶𝗻𝘀𝘁𝗲𝗮𝗱 𝘁𝗼𝗼𝗸 𝗱𝗮𝘆𝘀?
1 year ago, I was leading research at the Dyson Robot Learning Lab in London, working with some…
𝗧𝗵𝗲 𝗯𝗶𝗴𝗴𝗲𝘀𝘁 𝗯𝗿𝗲𝗮𝗸𝘁𝗵𝗿𝗼𝘂𝗴𝗵𝘀 𝗶𝗻 𝗥𝗼𝗯𝗼𝘁 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗮𝗿𝗲𝗻'𝘁 𝗰𝗼𝗺𝗶𝗻𝗴 𝗳𝗿𝗼𝗺 𝗻𝗲𝘄 𝗮𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 𝗮𝗻𝘆𝗺𝗼𝗿𝗲.
After over a decade in the field of robot learning, I've noticed something: 𝘵𝘩𝘦 𝘣𝘪𝘨𝘨𝘦𝘴𝘵…
𝗪𝗲𝗹𝗰𝗼𝗺𝗲 𝘁𝗼 𝗡𝗲𝘂𝗿𝗮𝗰𝗼𝗿𝗲.
The robotics industry has evolved significantly since 2016, but one fundamental inefficiency persists: organizations repeatedly developing identical infrastructure for data-driven robot learning applications.
Our platform eliminates this…
In robotics today, I see two common approaches to data collection:
𝟭) 𝗥𝗲𝗰𝗼𝗿𝗱 𝗲𝘃𝗲𝗿𝘆𝘁𝗵𝗶𝗻𝗴 𝗮𝘀𝘆𝗻𝗰𝗵𝗿𝗼𝗻𝗼𝘂𝘀𝗹𝘆 𝗶𝗻𝘁𝗼 𝗠𝗖𝗔𝗣 𝗼𝗿 𝗥𝗢𝗦 𝗯𝗮𝗴𝘀.
These formats were designed for robotics debugging and replay, not for data-driven learning.
• They…
Stop Logging. Start Recording.
Every robot interaction is a million-dollar training sample. This robot didn’t just complete a task, it generated intelligence for the future.
Traditional logging captures what went wrong. Neuracore records what could be learned.
Ready to see how…
𝗜 𝗵𝗮𝗱 𝘁𝗼 𝘄𝗮𝗹𝗸 𝗳𝗼𝗿 𝗼𝘃𝗲𝗿 𝗮𝗻 𝗵𝗼𝘂𝗿 𝘁𝗼 𝗴𝗲𝘁 𝘁𝗼 𝘁𝗵𝗲 𝗼𝗳𝗳𝗶𝗰𝗲 𝘁𝗼𝗱𝗮𝘆 𝗯𝗲𝗰𝗮𝘂𝘀𝗲 𝗼𝗳 𝗧𝗙𝗟 𝘀𝘁𝗿𝗶𝗸𝗲𝘀.
During my walk it made me think about how Japan is building a more sustainable future for both railways and railway workers.…
𝗣𝗼𝗽𝘂𝗹𝗮𝗿 𝗼𝗽𝗶𝗻𝗶𝗼𝗻: "𝗝𝘂𝘀𝘁 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗲 𝗺𝗼𝗿𝗲 𝘀𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻 𝗱𝗮𝘁𝗮."
After working with many 𝗿𝗼𝗯𝗼𝘁 𝗺𝗮𝗻𝗶𝗽𝘂𝗹𝗮𝘁𝗶𝗼𝗻 teams who've fallen into the simulation trap, here's what I've learned:
Simulation teaches your robot to be really,…
𝗦𝘆𝗻𝗰𝗵𝗿𝗼𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗳𝗿𝗲𝗾𝘂𝗲𝗻𝗰𝘆 𝗶𝘀 𝗮 𝗵𝘆𝗽𝗲𝗿𝗽𝗮𝗿𝗮𝗺𝗲𝘁𝗲𝗿, 𝗻𝗼𝘁 𝗮 𝗰𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝗼𝗻 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻.
Here's a 𝗺𝗶𝘀𝘁𝗮𝗸𝗲 I see teams make 𝙘𝙤𝙣𝙨𝙩𝙖𝙣𝙩𝙡𝙮: they collect robot data at 30Hz because "that's what our robot runs at" and…
𝗪𝗲'𝗿𝗲 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝘀𝗼𝗺𝗲𝘁𝗵𝗶𝗻𝗴 𝘀𝗽𝗲𝗰𝗶𝗮𝗹 𝗶𝗻 𝗟𝗼𝗻𝗱𝗼𝗻.
8 months ago, @Neuracore_AI was just an idea. Today, we're powering robot learning for teams around the world.
But here's what I'm most proud of: we're building this as an open, collaborative…
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