MicroAI™, with its breakthrough AtomML™ technology, is positioned to address many of the critical digital transformation challenges faced by today’s infrastructure companies. AtomML is micro machine learning technology that operates on meager resources and can be deployed on the smallest MCU or the most powerful computing hardware. AtomML provides next-generation capabilities across all aspects of the infrastructure ecosystem, including:
Cyber-attacks are rising by 300% yearly, and ransomware attacks are increasing to $5B annually. The ability to embed AI-enabled cyber security algorithms into edge devices will be a foundational pillar for next-generation infrastructure operators. MicroAI provides an unprecedented solution for Infrastructure security. Advantages include:
MicroAI’s ML-enabled security algorithms detect and protect against a broad spectrum of cyber-attacks, including Zero-Day, Ransomware, DDoS, and more.
Unlike other solutions, MicroAI does not rely on constant connectivity to function. Connectivity issues do not impact cyber-security monitoring.
MicroAI can detect security threats and intrusions up to 300x faster than traditional security solutions. Legacy solutions can take weeks to detect an attack. MicroAI provides notification in minutes.
MicroAI provides an Edge-native AI solution for integration of smart devices, performance optimization, and cost reduction. Tangible advantages include:
Unique architecture that enables execution of proprietary ML algorithms across a wide range of smart assets (data centers, containers, switches, routers, low-powered edge devices, visualization tools, etc.).
Uniform technology that powers the entire technology stack, resulting in faster time to market and a more powerful competitive position.
MicroAI significantly improves data transmission efficiency by removing the need for labeled data and by providing training at the device level instead of in the cloud.
A broad range of support for RTOS, Android, and iOS devices as well as devices with no operating system.
MicroAI can be embedded into low-powered, low memory devices at the endpoint (i.e., Cortex M-class MCUs).
By collecting and processing data at the point of origin and eliminating the need for cloud processing and storage, MicroAI reduces data costs by 70 to 80%.
MicroAI has the unique ability to provide real-time performance observability into an individual machine or into large groups of assets within the typical infrastructure ecosystem. Deep observability that provides:
Data produced by groups of assets is managed from a centralized location. This improves the speed and reliability of data insights and actionable alerts.
Depending on configuration, MicroAI can either generate health scores for each individual asset, or a single health score for the entire infrastructure ecosystem.
MicroAI is an agentless-based platform that requires no external software processes and is less reliant on development of customized application code. AtomML+ can be deployed in a wide range asset environments.
Operational excellence requires not only knowledge of what is happening now, but insights into potential future developments. MicroAI provides the deep learning that is required for true predictive analytics and insights. Moving from reactive to predictive asset management.
MicroAI offers a suite of Edge-native AI productions and solutions that will power a true paradigm shift in operational and business performance for companies in the infrastructure segment. New levels of operational excellence that will include:
Enhanced cyber-security that can prevent the loss of millions of dollars’ worth of data, revenue, and reputation.
Rapid integration of ML-enabled smart devices to accelerate advancement of Industry 4.0 initiatives.
Reducing overall data costs by 70 to 80% via analyzing and storing critical asset data locally instead of in the cloud.
Performance observability that delivers improved OEE (overall equipment effectiveness), reduced maintenance costs, faster ROI, and increased lifespans. Improvements that amount to millions of dollars in operating cost reduction.