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Luffy AI
neuroplastic AI for real-time adaptive control of industrial motors and physical systems
Last verified August 15, 2026 · Updated daily
What Luffy AI is building
Luffy builds what it calls neuroplastic AI: sparse neural networks trained in simulation — no large training datasets required — then refined against the real machine, where the company claims up to 400x greater efficiency than conventional deep learning. The models are small enough to embed in existing hardware and self-refine from live feedback, so there's no cloud dependency or constant retraining. First target: the electric motor. Around half the world's electricity is consumed by electric motors, most running inefficiently, and Luffy is deploying its Adaptive Neural Controllers into motor control and variable-frequency-drive applications — industrial pumps, fans, conveyors — so a motor can tune itself to its load in the field. Longer term, the same stack targets positioning control for robotics and drones, thermal process control, and broader physical AI.
Why this matters
The AI boom has mostly stepped around the factory floor because LLM-style approaches need data, compute, and connectivity that a pump or conveyor doesn't have. Luffy attacks exactly that gap, and BGF's investor framed it as disrupting an industry norm that has stood for a hundred years — replacing specialist commissioning engineers with self-commissioning control. The founders, Dr Matthew Carr (CEO) and Dr Alex Meakins, are former nuclear physicists from the UK Atomic Energy Authority, and the company sits on the Culham fusion campus — deep technical credibility for a control-systems problem. The syndicate mixes UK growth capital (BGF) with Munich deep-tech money (MIG Capital AG), which matters for landing German industrial customers. With energy efficiency regulation tightening and electricity demand spiking, plug-and-play efficient motor control has a real commercial 'why now'.
Open roles at Luffy AI
3 positions we're tracking. Roles are re-checked daily and removed when filled.
Hiring outlook
The round is explicitly earmarked for moving proofs-of-concept and pilots into significant partnerships with major industrial brands — a commercialization push that means deployment engineering and industrial BD hires, plus continued core ML work. UK deeptech at this size hires deliberately and founder-led; expect a small number of high-leverage roles rather than a headcount blitz, which makes early direct outreach disproportionately effective.
Working at Luffy AI
Luffy AI: neuroplastic AI for real-time adaptive control of industrial motors and physical systems. Founded 2019, currently employees. At this stage, expect opportunity to shape your role based on the company stage.
Most Luffy AI jobs are based in Abingdon (Culham Campus).
Frequently asked questions
How many jobs does Luffy AI have open?
Luffy AI currently has 3 open roles, last verified July 2026.
Does Luffy AI hire remotely?
All current Luffy AI roles are based in Abingdon (Culham Campus).
What roles is Luffy AI hiring for?
Luffy AI is hiring across Engineering, Product. The most recent opening is Machine Learning / Controls Engineer.
How do I apply for a job at Luffy AI?
Apply directly through the links above, or read our guide on how to actually get hired at Luffy AI.
Where is Luffy AI based?
Luffy AI is headquartered in Abingdon (Culham Campus), US.
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