Luffy AI, a UK-based startup building AI for real-time adaptive control in industrial systems, has raised £8.1 million in a Series A funding round. The round was led by BGF, with new participation from MIG Capital AG via its MIG Fonds.
Existing investors Bow Capital, Chrysalix, Momenta, and UKI2S also returned for the round.
Neuroplastic AI for the Industrial Edge
Luffy AI's core product is a neuroplastic AI platform built specifically for industrial environments where traditional AI falls short. Conventional models typically demand large datasets, substantial compute, and persistent cloud connectivity — none of which are reliable in factory settings.
The company's approach relies on sparse neural networks that are:
- Trained initially in simulation
- Refined continuously during real-world operation
- Capable of real-time adaptive control without cloud-based retraining
This makes the platform well-suited for environments with constrained compute budgets and intermittent connectivity.
Starting With Motor Control
The first commercial application is industrial motor control, specifically targeting variable frequency drive (VFD) systems used in pumps, fans, and conveyor systems. By enabling motors to automatically adapt to shifting operating conditions, Luffy AI aims to improve energy efficiency, cut commissioning time, and optimise performance across the board.
"Factories, motors and physical systems need AI that is small, fast and adaptive in real time, not cloud-dependent, or with huge data and compute requirements. At Luffy we've already proven what's possible with AI motor control and will use this new funding to scale up our delivery and rollout." — Dr Matthew Carr, co-founder and CEO, Luffy AI
Roadmap: Robotics, Drones, and Beyond
Motor control is just the entry point. Over the longer term, Luffy AI plans to expand into:
- Robotics
- Drones
- Thermal process control
- Other physical AI systems
How the Funding Will Be Used
The £8.1M will primarily go toward commercialisation — converting proof-of-concept projects and pilot deployments into long-term industrial partnerships. The company is focused on bridging the gap between early pilots and sustained, at-scale rollout across industrial customers.



