MicroAI’s Machine Intelligence Agent is built to integrate effortlessly into your existing industrial, edge, or enterprise environments. Whether you’re using Redis queues, HTTP endpoints, or Prometheus metrics, our embedded agent delivers machine-level AI that works in harmony with your current tools—no reengineering required.
Why Integration Matters
Centralize Intelligence
Feed AI-enriched machine health data into your existing dashboards and analytics tools.
Augment Existing Investments
Get more value out of the systems you already use by integrating real-time machine learning insights.
Enable Closed-Loop Automation
Trigger alerts, maintenance workflows, or system responses based on machine-level AI decisions.
Flexible, Future-Ready Architecture
Feed AI-enriched machine health data into your existing dashboards and analytics tools.
Current Integrations and Data Export Options
The Machine Intelligence Agent integrates directly with the following systems today:
Launchpad
MicroAI’s default environment for managing machine-level AI models, insights, and device performance data.
HTTP
Export machine intelligence data to any external system via configurable HTTP endpoints for flexible interoperability.
MQTT
Send real-time insights and health metrics using the MQTT protocol, ideal for distributed IoT and OT environments.
Redis
Push synchronous or asynchronous machine data into Redis queues for fast processing and scalable data handling.
Prometheus
Expose machine-generated metrics through a native Prometheus endpoint for observability and monitoring workflows.
Planned Integrations on Our Roadmap
We're actively expanding how Machine Intelligence integrates with your broader ecosystem. On our roadmap:
Grafana
Azure
Built for Interoperability
- Lightweight agent that runs at the edge on machines or embedded devices
- Works in air-gapped, hybrid, or cloud-connected environments
- Output data in formats compatible with your current pipelines and systems
