Edge and Embedded AI for IT and OT Asset Optimization
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Special Event Highlight

MicroAI Live Demo with Supermicro @ MWC

MicroAI’s CEO, Yasser Khan, is joined by Supermicro’s Kevin Culp at MWC to demo leading Industry 4.0 solutions.

Security and Monitoring for Telecom Ecosystems

MicroAI’s Security and Monitoring platform brings AI-enabled closed-loop cyber protection to telecom operators, service providers, and OEMs.

An End-to-End Network of Intelligence​

MicroAI’s enterprise grade platform consolidates all components needed for deploying AI-enabled solutions into IT and OT devices and machines.

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Embedded AI

AI Signal Processing for Endpoint/Edge Gateway Based Agent Support

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Connectivity

Agnostic to Protocol WIFI, 5G, LTE, CAT-M, NB-IoT, LoRa, etc.

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Hyperconverged Platform

Workflows, Activation, Billing, Smart Connectivity, Data Management & Auto-Scaling Environments

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AI Driven Insight

Industry Specific KPIs/Analytics, PdM, and AI Driven Dashboards

Embedded Computing Design

Embedded Executive

Yasser Khan, CEO/Co-Founder, MicroAI

Our Tech: Closed-Loop Asset Observability

  • I/O Layer
  • Auto - Tuning
  • Health Scores
  • Fault Detection
  • Alerts
  • Root Cause
  • Corrective Action
I/O Layer
Auto - Tuning
Health Scores
Fault Detection
Alerts
Root Cause
Corrective Action

I/O Layer

Live data is leveraged from a variety of devices, machines, and networks. MicroAI’s technology is agnostic to sensor values and types, creating a multi-variant model that utilizes AI inference analysis to generate a wide range of analytics.

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Auto - Tuning

Fully automatic tuning of the AI model(s) to be deployed. Multidimensional behavioral algorithms produce recursive analysis, training, and processing. This enables a continuous evolution of the AI model that takes place directly on the endpoint.

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Health Scores

Real-time, on-demand, health scores provide continuous observability into the health, performance, and security of connected assets. Stakeholders and operators can fast-track health assessments and to identify recurring problems based on historical data and predictive insights.

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Fault Detection

Embedded ML algorithms learn the normal operating behavior of an individual machine or a group of machines. Deep federated learning provides the accurate baselines required to rapidly detect performance anomalies of any size or duration.

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Alerts

The embedding and training of intelligent workflows automate the process of performance alert notifications to ensure accurate dissemination of critical information. Alert routines can be customized to accommodate specific ecosystem configurations and requirements.

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Root Cause

High-speed processing of historical asset performance data enables rapid detection of historical patterns as well as analysis of relationships between complex variables impacting the performance of a machine or machine group. Root cause identification accuracy is improved, leading to faster recovery and reduced downtime.

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Corrective Action

Through accurate identification of root cause, the algorithms will identify effective corrective actions to be implemented. Once implemented, the AI engine provides real-time impact assessments and self-tunes for maximum performance.

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Our Product Line (New)

Endpoint and Edge AI are transforming every industry.

MicroAI Resources

Businesses putting their trust in MicroAI

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Interested in how MicroAI can benefit you?

 MicroAI AtomML brings big infrastructure intelligence down into a single piece of equipment or device.

See Demo