MicroAI’s MicroAI AtomML™ was developed to enable machine operators and device managers to gather specific data about their assets—in real-time— without dependency on the cloud. The result has been a new, transformative, awareness of the performance, integrity, and security of smart devices and machines within an IoT ecosystem. These real-time insights are providing stakeholders with the means to improve operational efficiencies and to maximize asset ROI.
Unlike cloud-based solutions that require heavy latencies, MicroAI AtomML™ is able to deliver rapid, intimate, asset analytics in real time.
Prior to MicroAI AtomML™ it was virtually impossible to fit a machine learning algorithm onto an edge device. MicroAI AtomML™, in combination with MicroAI’s custom-built machine learning network, provides an elegant solution for deployment onto IoT devices and machines. This provides operational insights that are faster, more reliable, and more cost effective. Managers and operators are better equipped to make decisions on when to procure, decommission, proactively maintain, and repair their most valuable assets to avoid catastrophic downtime and failure.