Luffy AI Secures £8.1 Million to Advance Real-Time AI Control for Industrial Systems

What happened:

UKI2S is joined by existing investors Bow Capital, Chrysalix, Momenta and UKI2S in a £8.1m funding round, led by BGF, for UK-based startup Luffy AI. The company is working on a new industrial AI model that is more focused on real-time adaptive control than traditional machine learning models based on large amounts of data. 

Luffy’s technology will enable industrial systems to adapt to varying operating conditions without needing constant access to the cloud or the need to retrain models again and again. The new investment will focus on growing partnerships with industrial customers and speeding up commercial deployments.

Why it matters:

While the industry has seen significant interest in AI, there are still barriers to the widespread adoption of AI in manufacturing, such as the lack of data, computing power, and connectivity. Most AI algorithms of this type need a large volume of data, powerful computing power, and constant updates to function properly.

Luffy AI is going the other way. The technology it employs is based on light-weight neural networks which are first trained in simulation, and then updated in real life. This enables systems to continuously adapt without consuming a lot of computational power.

The company’s first applications will be in electric motor control, which has huge energy-saving potential. Motors drive pumps, fans, conveyor systems and make up a significant percentage of world wide industrial electricity consumption.

Industry context:

From predictive maintenance and analytics dashboards to direct applications that affect the performance of machines and operational efficiency, manufacturers are moving on from these features to AI applications.

Adaptive control systems are now in the spotlight as they can adapt to varying conditions in real time, which can assist in optimizing energy use, enhancing performance, and minimizing commissioning time. This is especially true in an era where industries are increasingly under pressure to increase their efficiency and reduce their operating costs.

Luffy AI is currently using their technology for motor control systems, but there is scope for other applications such as robotics, drones and industrial process control. The investment comes at a time when investors are increasingly interested in the use of what is known as “physical AI”, AI that works in the real world, as opposed to in digital settings.

Meanwhile, technologies that can provide tangible operational improvements without the need for substantial investment in computing infrastructure will become more of a focus as manufacturers continue to investigate the potential applications of AI in the factory floor.