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Luffy AI, a UK-based startup developing AI for real-time
adaptive control in industrial systems, has raised £8.1 million in a Series A
funding round. The investment was led by BGF, with participation from MIG Capital AG through its MIG Fonds. Existing investors Bow Capital, Chrysalix,
Momenta and UKI2S also joined the round.
Luffy AI has developed a neuroplastic AI platform designed
for industrial applications where conventional AI models are limited by high
data, computing and connectivity requirements. The company’s sparse neural
networks are trained in simulation and refined during real-world operation,
enabling real-time adaptive control without relying on large datasets or
continuous cloud-based retraining.
The technology is initially being deployed in industrial
motor control, one of the company’s first commercial applications. Luffy AI is
working with variable frequency drive (VFD) systems, including pumps, fans and
conveyor systems.
By enabling motors to automatically adapt to changing
operating conditions, the technology is intended to improve energy efficiency,
reduce commissioning time and optimise overall performance. Over the longer
term, the company plans to expand into additional applications, including
robotics, drones, thermal process control and other physical AI systems.
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,
said Dr Matthew Carr, co-founder and CEO of Luffy AI.
The fresh capital will be used to accelerate the company’s
commercialisation efforts by converting proof-of-concept projects and pilot
deployments into long-term partnerships with industrial customers while
supporting the broader rollout of its AI technology.