Edge and Embedded AI for IT and OT Asset Optimization
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Agentic AI: GenAI-Enabled 360° Intelligence

Unlock complete observability, security, and performance insights with GenAI Agents for your machines, networks, and infrastructure.

Modernize Without Replacing ?
Deploy on existing infrastructures
Building something new ?
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Why MicroAI?

We develop GenAI-enabled Agents specifically designed for Industrial Infrastructures

Our Agents provide you with 360° visibility into the performance of your machine assets and supporting processes. GenAI-empowered insights drive continuous optimization of productivity, sustainability, and cost.

Our Agentic AI Suite:

Machine Intelligence

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.

Application Performance Monitoring

The MicroAI Application Performance Monitoring (APM) Agent reduces noise, prevents fire-drills, eliminates guesswork, and ensures peak application performance.

Security & Monitoring

Today’s networks are under constant threat. Malicious actors are using their own AI to probe for weak spots. The solution is…better AI, at the edge.

Network Quality of Service

Endpoint and Edge AI solutions that improve the transparency, performance, and reliability of today’s diverse and complex IT and OT networks. Greater customer satisfaction at reduced cost.

Vision

AI-Enabled visual Intelligence for real-time object detection and analysis. Always on. Always watching. Always learning.

Turning Industrial Machines into AI Agents

Starting with Edge–Data Collection and ending with Agentic AI Workflows—here’s how MicroAI enable smarter infrastructure:

Edge–Based, What does this mean?
  • Bypasses latency, cost, and security concerns of cloud-first models
  • Enables faster insights, localized control, and reduced data transmission costs
  • Unlocks hard-to-reach data from on-prem or air-gapped environments
Why the need for AI Agents?
  • Asset-specific intelligence – each agent is built for a purpose and delivers ROI fast
  • Built for edge environments – AI Agents replace static machines to enable intelligent workflows
  • Scalable across assets, users, and locations – manage hundreds to thousands of agents across your infrastructure
What’s the value of Agentic Workflows & GenAI KMS?
  • Agentic AI Workflows trigger autonomous actions, inclusive of Human-in-the-Loop interactions for further feedback optimization
  • GenAI KMS study machine events with knowledge for real-time, role-based insights into behavior and performance
  • Combined Value – Together, they enable adaptive, self-optimizing systems that improve efficiency, resilience, and predictive accuracy
Our platforms:
Launchpad AIStudio Factory Management System (FMS)

A Closer Look at GenAI-enabled Agentic AI

AI Agent-Enabled at the edgeGenAI Workflow-Enabled across teams

From Machine to Self-Resolving AI Agent

MicroAI turns each machine into an AI Agent at the edge and wraps it with a GenAI workflow layer that coordinates people, systems, and actions— autonomously, end-to-end.

An Unforeseen Event

The line is running. An embedded MicroAI Agent is monitoring vibration, torque, amperage, cycle time, and context in real time—right on the machine.

A brief obstacle collision occurs. No one sees it. The Agent detects abnormal signatures and calculates a 70% performance drop and a falling health score.

Asset ID: 3413231 has a 70% performance drop

Instant Notification

The Agent pushes a phone alert to the operations manager: “Asset 3413231: performance down 70%.” Severity and confidence are included so the manager knows this needs attention now.

Asset ID: 3413231 has a 70% performance drop
What happened?
Health score drop due to obstacle

Ask -> Act

Manager inquires right away to get insight on the issue. The Agent answers with root cause from on-machine data: “Obstacle collision detected. Health score degraded.” Evidence and timestamps are attached.

Assign task to John at maintenance for resolution
Ticket generated, task assigned to John

Field resolution.

John receives the guided work order on mobile, fixes the obstruction, validates the result on the spot, and logs the action with one tap.

Asset ID: 3413231 health score restored. Event logged to KMS for faster future resolution on this asset.
Generate a sharable report
Yes !

Closed Loop Confirmation

The Agent verifies improved telemetry and posts back: “Health restored.” The manager sees the updated score and resolution details instantly.

The full event—signals, cause, fix—is written to the GenAI KMS. Next time, the Agent can recognize the pattern faster and recommend the proven playbook.

Agent: “Generate a shareable report?” With one “Yes,” a clean summary (impact, downtime avoided, MTTR, steps taken) is produced for stakeholders.

Asset ID: 3413231 has a 70% performance drop
Asset ID: 3413231 has a 70% performance drop
What happened?
Health score drop due to obstacle
Assign task to John at maintenance for resolution
Ticket generated, task assigned to John
Asset ID: 3413231 health score restored. Event logged to KMS for faster future resolution on this asset.
Generate a sharable report
Yes !

Why it matters (closed-loop value)

See → Decide → Do → Learn in one loop—at your palm.

  • Faster MTTR, higher OEE, lower downtime through autonomous, traceable actions.

  • Agentic AI + GenAI KMS means every incident trains the system—next time is solved even faster.

  • Human-in-the-loop control with AI agents doing the heavy lifting.

  • Scales plant-wide: from a single machine to a fleet of self-resolving assets.

shape

Who are you? What are your key objectives?

For Executives:
Reducing operational costs. Improving ROI on capital expenditures. Improving competitive position. Unlocking new revenue opportunities.
For Engineers and Developers:
Deploying and scaling GenAI Agents with minimal operational disruption and low cost. Ability to easily access SDKs and developer resources.
For Operations Managers and Directors:
Improve machine observability. Reduce machine downtime. Improve OEE. Implement predictive maintenance. Reduce production costs.
For Cybersecurity Managers:
Reduce cloud-dependent cybersecurity costs. Improve protection against AI-enabled malware attack. Transition from a reactive to a proactive security footing.

Agentic AI in Action: Real Industry Outcomes

Transformative Results Across Manufacturing, Telecom, and Beyond

Manufacturing

Manufacturing reduced unplanned downtime by 37%, improved OEE by 22% within 90 days

Infrastructure

Connected systems across facilities for intelligent decision making, creating seamless IT/OT data flow

Telecom

Optimized bandwidth allocation, reduced latency, & enhanced service continuity across 5G/LoRa networks

Defense and Military

Agentic GenAI for Defense & Military Operational Superiority Autonomous Intelligence.

Factory Readiness Assessment

Take the FRA quiz and see your score

MicroAI, Trusted as the Modern Edge-Native Intelligence Framework

Explore how MicroAI is redefining machine intelligence at the edge. See how customers are accelerating development, improving performance, and reducing costs with embedded AI agents purpose-built for edge environments.

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MicroAI’s Agentic GenAI solution has fundamentally transformed the way we manage our industrial operations. The solution’s ability to autonomously learn from machine data and adapt in real time has given us a level of observability and control we did not have before. By continuously correlating telemetry across our production lines, it identifies early patterns of inefficiency and proactively recommends adjustments for optimization. In the first six months, we achieved a 15% increase in OEE and a 31% reduction in unplanned maintenance events.

- Director of Operations,
Global Industrial OEM

Edge-Native
Machine Intelligence

Real-time performance at the edge

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Agentic AI at the Edge of Intelligence