Fuel AI/ML initiatives with clean, contextualized industrial data from the source

You can’t automate intelligence with incomplete data

AI and machine learning depend on high-quality, time-stamped, and well-structured data. But in most industrial environments, OT data is fragmented, trapped in legacy systems, or stripped of its context by the time it reaches data science teams.

This creates a costly and time-consuming barrier between your operations and your AI/ML ambitions.

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Cirrus Link connects OT data to the cloud — the right way

Our MQTT and Sparkplug technologies provide a secure, efficient, and structured method for moving operational data from industrial devices to cloud platforms and data lakes. Unlike traditional polling and ETL methods, Sparkplug maintains data integrity, state awareness, and context — enabling AI/ML systems to make better decisions, faster.

You get the right data, in the right format, at the right time — without writing a single line of custom code.

How it works

Data is generated at the edge

PLCs, RTUs, and sensors collect real-time data at your operations layer.

MQTT Transmission publishes the data

Data is pushed via MQTT only when it changes — reducing bandwidth usage and improving responsiveness.

MQTT Engine receives and organizes the data

The MQTT Engine Module automatically creates and updates tags in Ignition, based on Sparkplug’s structured payloads.

Optional MQTT broker layer

Use Chariot MQTT Server or MQTT Distributor to manage messaging with high availability, security, and control.

Applications consume the data

SCADA dashboards, historians, analytics tools, and enterprise systems subscribe to the data streams they need — nothing more, nothing less.

The results

High-integrity data delivered in real time

Zero-code integration with cloud platforms

Efficient ingestion reduces storage and compute costs

Enables smarter predictions and real-world impact

Purpose-built for industrial AI/ML

We’ve helped manufacturers, oil & gas operators, and utilities deliver structured operational data into cloud platforms like Snowflake, AWS, and Azure — unlocking AI/ML use cases like predictive maintenance, process optimization, OEE improvement, energy management, and fault detection and classification.

Industrial AI/ML

Discover our products that make it possible

Bring AI to the factory floor

Learn how Cirrus Link can help you deliver clean, contextualized OT data for AI/ML — securely and at scale.

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