Liam S

We use neuroplastic AI to solve real-time adaptive control. While industrial AI adoption remains constrained by the data, compute and connectivity requirements of conventional deep learning, we have developed a neuroplastic AI stack that addresses these challenges and excels in real-time adaptive control. Our sparse neural networks are trained in simulation, without the need for large training data sets, and refined in reality, where they can achieve up to 400x greater efficiency than traditional deep learning. Our lightweight architecture is ultra-energy efficient and self-refining, meaning there is no constant retraining from the cloud. We are currently deploying our AI models in industrial motor control and VFD applications, such as industrial pumps, fans and conveyors. Visit our website to learn more about our technology and potential applications: https://luffy.ai/