Grid Management/Operations

We provide low-latency (10-100 microsecond) machine learning algorithms that adapt over time to predict and control complex physical systems. Our technology is seamlessly integrated from the base hardware to low-level assembly code, all the way up to a high-level, easy-to-use user interface that runs within a web browser. An early prototype of this technology has proven capable of both predicting and controlling near chaotic, stability limit engine combustion in sub-millisecond real-time.

An integrated visualization software for control centers that helps grid operators avert and respond to critical situations, providing real-time situational awareness for complex energy, emergency response and IoT infrastructures. The software enables users to collaborate visually with support for supervisor approval and rights management, and is designed for rapid, continuous integration of new modeling and state information.