Making Machines More Predictable,
More Productive, and More Cost-Effective

MicroAI’s Machine Intelligence Agent provides deep insights into the performance and health of your machines. AI-enabled machine optimization in a dynamic, lightweight, package.

Impact

Reduce machine
downtime by

50%

Reduce machine maintenance
costs by

50%

Improve first-pass quality inspection yeilds by

8%

Improve OEE scores
by

15%

Reduct CoS
by

7%

AI Agents Deployed at the Machine Level

Machine Health Scoring

Real-time AI agents assess and score machine health, detecting early signs of failure and maximizing asset performance.

Security

Embedded AI continuously monitors security at the machine level, protecting assets from cyber threats without external systems.

Predictive Maintenance

On-machine intelligence forecasts failures before they happen, enabling truly predictive, condition based maintenance.

GenAI

Leverages embedded AI to dynamically learn, adapt, and enhance machine control, diagnostics, and reporting in real time.

Edge Advantage

AI agents operate directly at the machine edge, delivering faster insights, better privacy, and reduced reliance on cloud infrastructure.

Big Intelligence Without the Big Infrastructure

Deep Observability

Intelligence embedded into the machine endpoint provides deep insights into real-time performance and health. Active learning delivers enhanced levels of observability.

Dynamic Learning

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

Recursive Analysis

Multidimensional behavioral algorithms produce recursive analysis, training, and processing. Recursive analytics produce predictive insights into future machine health and predictive maintenance requirements.

Insight Mining

Embedding and training of intelligent workflows automate the process of performance alert notifications and implementation of rapid mitigations. A visualization engine provides continuous observability into the status of connected machines.

Simple Integration

Quickly and cost-effectively integrate the lightweight MicroAI Machine Intelligence agent into existing machine control infrastructures. Integration in days vs months.

Who Benefits from the Machine Intelligence AI Agent?

Machine Maintenance Engineers: “Our machine maintenance is often performed either too early or too late. Our old preventive maintenance methods are not effecteive”.
Biggest Stressor: Preventing catastrophic breaches while balancing budget and compliance.
Machine Operators: “The output of our machines seldom reach full potential due to unscheduled downtimes, quality issues, and delayed insights into machine health”.
Biggest Stressor: Managing a flood of alerts and separating real threats from noise.
Production Planners: “The accuracy of our production planning and scheduling suffers from our inability to accurately predict machine availability and output”.
Biggest Stressor: Keeping networks secure while ensuring uptime and performance.
Operation Managers: “Our OEE is too low! We have been stuck at 60 – 65% for a decade. This continues to have a negative impact on our production costs”.
Biggest Stressor: Balancing speed and security in continuous deployment environments.
Finance Managers: “We are not maximizing the lifespan of our most expensive assets. Machines are too often replaced and ROI is too low”.
Biggest Stressor: Protecting legacy, unpatched systems in mission-critical environments.

Machine Optimization via Machine Intelligence

Single or multiple machine coverage

- the Machine Intelligence agent can be integrated into a single machine or across and entire machine ecosystem, creating a network of intelligence and control.

Predictive analytics

- Real-time performance data is automatically collected and analyzed to produce predictive maintenance intelligence based on current and projected asset health and performance. Maintenance is performed when it is actually needed.

Failure prevention

– Real-time analytics that detect and alert on the possibility of machine failure to ensure rapid response and fault mitigation.

Higher OEE Scores

– a typical manufacturing operation has an average OEE of 60 to 70%. MicroAI Factory can improve OEE to ~ 85%. A 15% improvement in OEE can equate to a 17% increase in productivity.

Extended Asset Lifespans

– enhanced observability + predictive maintenance + catastrophic failure prevention = longer machine life and reduced cost.

Threats are constantly becoming more sophisticated. Join us in stopping them.
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