About MicroAI™
MicroAI provides next-generation Edge and Endpoint AI/ML products and solutions that deliver operational value in the areas of machine and network optimization, predictive maintenance, and advanced cyber-security.
MicroAI provides next-generation Edge and Endpoint AI/ML products and solutions that deliver operational value in the areas of machine and network optimization, predictive maintenance, and advanced cyber-security.
MicroAI™, an Edge and Embedded AI-enablement company based in Dallas, TX., delivers intelligent Asset Management solutions to companies within the Manufacturing, Automotive, Telecom, Financial, and Infrastructure sectors.
MicroAI’s award-winning, proprietary, AI/ML products and solutions enable a transformational approach to using Edge and Embedded AI to improve the performance and security of IT and OT devices and machines. MicroAI is a leader in Industry 4.0 initiatives, providing Edge and Embedded AI/ML solutions that deliver business value in the areas of Asset Optimization, Predictive Analytics, and advanced Cyber-Security.
MicroAI AtomML™ brings big infrastructure intelligence into a single piece of equipment or device. Unlike traditional AI-driven asset management solutions that rely on edge-based microcontrollers, MicroAI AtomML™ is deployed directly onto smart devices and sensors.
MicroAI AtomML+ is an agentless machine learning platform for optimization of IT and OT asset Ecosystems. AtomML+ brings centralized intelligence to groups of devices and machines to deliver optimized performance, enhanced cyber-security, and reduced cost.
MicroAI Atom™ is an ANSI C based portable AI/ML engine which can train and inference on the endpoints.
MicroAI Atom™ builds an AI/ML model-based Device Health Score by consuming machine sensor data in real-time.
Asset-generated data is ingested and analyzed locally, reducing the dependence on cloud infrastructures.
AI-enabled IT and OT asset protection and closed loop mitigation against Ransomware and other Zero-Day types of cyber-attack.
Intelligence embedded into IoT devices with limited computing power and data storage.