Embedded Intelligence that Optimizes Machine Performance
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MicroAI AtomML is an Edge-Native AI platform that lives directly on the MCU or MPU of a device or machine. AtomML provides deep observability into the performance, health, and security of IT and OT assets. Operational Excellence at the endpoint.


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
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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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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Customized Asset Observability

AtomML embeds personalized intelligence into individual devices and machines within the asset ecosystem. Operating within the asset itself, AtomML provides deeper–and more efficient– observability into the performance, health, and security of the device or machine. Benefits of this endpoint visibility include:

  • Small Footprint

    AtomML is small enough to live, train and inference on a micro-controller (MCU) or micro-processor (MPU) eliminating the need for extraneous hardware and minimizing cloud dependance.

  • Endpoint Intelligence

    Proprietary algorithms analyze times-series data from machine and device sensors to deliver deep insights into the behavior of critical assets.

  • Predictive Maintenance

    AtomML provides the learning and asset observability required to evolve from planned (inefficient) maintenance routines to predictive routines that are more productive and less disruptive.

  • Rapid Alert and Mitigation

    AtomML utilizes multidimensional behavioral algorithms to produce recursive analysis, training, and processing, providing real-time performance alerts and workflow-enabled notifications and mitigations.

Asset-Centric Cyber Security

AtomML embeds and trains advanced security algorithms directly into a device, machine, or process. AtomML learns the normal state of device behavior and provides early-stage detection of profile deviations caused by cyber intrusion. Edge-Native AI security that delivers:

  • Asset-Specific Security Insights

    AtomML embeds security learning and protocols that are customized for the specific device or machine.

  • Local Monitoring and Processing

    Processing critical data at the endpoint eliminates security risks associated with cloud data transfer and storage.

  • Improved Precision

    Endpoint security provides more precise analysis of current asset state as well as actionable predictive analytics.

  • More Robust and Less Costly

    AtomML provides asset cyber protection that is more hardened, more predictive, more rapid, and less costly than other solutions available today.


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

Improved OEE

Many Industry 4.0 initiatives are geared toward improving OEE (overall equipment effectiveness). The manufacturing and industrial automation segments have struggled to surpass the 70% OEE mark. AtomML is the Industry 4.0 solution to improved OEE.

  • A 15% improvement in OEE can equate to a 17% increase in productivity. An operation producing $60M worth of products can increase their output to ~ $70M.
  • Improved OEE equates directly to a reduction in asset maintenance costs. Unnecessary maintenance is eliminated via the implementation of predictive maintenance.
  • Higher OEE scores translate to improved quality of the products being produced. Machine and device performance are more reliable and more predictable.
  • Production costs are reduced. This results in improved product pricing as well as healthier bottom lines.

Rapid and Cost-Effective Deployment

AtomML has a tiny footprint, is hardware agnostic, is common code based, and can be deployed onto virtually any type of device or machine. AtomML requires no data labelling or expensive pre-training. AtomML can be deployed in several ways, including:

Embedded in the MC chip directly from the semiconductor supplier
Embedded as new over-the-top (OTT) firmware once the device OEM has taken delivery of the device MCU

As a unique, purpose-built, OTT machine module solution

Example Deployment Model

Interested in how MicroAI can benefit you?

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

See Demo