Litmus Edge

The Edge Data Platform for Industry 4.0

Litmus Edge unifies data collection, data analytics, application enablement and data integration in a complete Edge Data Platform purpose-built for Industry 4.0.

Harness the OT data needed to improve operations at scale

Litmus Edge is the Edge Data Platform purpose-built for Industry 4.0. With instant connectivity to hundreds of OT assets, Litmus Edge makes it easy to harness the OT data needed to power insights at the edge and across the enterprise. From data collection and machine analytics to application enablement and data integration, Litmus is a complete Edge Data Platform that is rapid-to-deploy and easy-to-use, offering everything you need to improve operations at scale. 

One Platform

Everything you need for Industry 4.0 including complete OT connectivity, machine analytics, data integration and application enablement.


Device Connectivity

Rapidly collect and normalize data from any modern or legacy OT asset into a standard format ready for use by edge and enterprise applications.


Machine Analytics


Application Enablement

Host applications in a public or private marketplace, rapidly deploy them using containers at the edge, and run them with complete OT data.


Data Integration

Easily and securely integrate data between OT and IT using pre-built integrations to dozens of cloud and enterprise systems.


Flexible Deployments


Device Connectivity

Ships with hundreds of OT device drivers

With 250+ pre-built drivers, Litmus can connect to any machine or industrial system out-of-the-box. Collected data is structured and stored, and ready for use by edge and enterprise applications.

Analyze Data

Pre-built machine analytics and visualizations

With pre-built KPIs and an easy-to-use dashboard builder, customers can quickly create data visualizations and analytics for machine downtime, condition monitoring, OEE and more.

Share Data

Integration with cloud and enterprise systems

Immediately feed ready-to-use machine data to any cloud or enterprise system to achieve a complete edge-to-cloud data picture for OT, IT and Data Science teams.

Run Applications

Containerized application deployment

Host and access public or private applications in a centralized repository, with the ability to deploy and run applications and machine learning models at the edge.

Manage Deployments

Scalable and repeatable IIoT deployments

Achieve a single point of control to view and manage a complete picture of edge devices, data and applications at scale.

Simplify the management of Industrial IoT deployments

Litmus Edge Manager is a centralized edge management platform purpose-built to give edge and enterprise teams visibility, access and control over the orchestration of all edge devices, data, applications and machine learning models at scale. Visualizing data from all sites and centrally deploying applications leads to exponential opportunities to drive efficiency and operational improvement. Litmus Edge Manager makes it easy to create deployment templates and send over-the-air-updates for fast, easy and secure IIoT at scale.

Single Point of Control

Simplify the management of IIoT deployments at scale with centralized visibility and control of devices, data, applications and machine learning models.


Device Management

Control, configure, update and monitor IIoT devices across all sites remotely to remove the need for on-site management.


Data Management


Application Orchestration

Run containerized applications on any Litmus Edge device with centralized control over how they are hosted, deployed and updated.


ML Model Orchestration

Host and manage machine learning models in a central repository. Deploy models to Litmus Edge devices at any number of sites, and run them using Docker containers.


Flexible Deployment


Litmus Platform Capabilities

Under the hood, Litmus is the most complete Industrial IoT Edge platform on the market – providing everything industrial companies need to collect and put data to work at the edge and across the enterprise. First, Litmus Edge collects and unifies all OT data – from vision systems to flat files to PLCs and DCS – and normalizes and stores the ready-to-use-data. Customers can engineer the data with common KPIs and visualization for valuable machine analytics and immediate value or send data anywhere for advanced analytics. Applications and machine learning models are fed with complete OT data and deployed at the edge with container technology. Litmus Edge Manager adds a management and orchestration layer for device, data, application and ML model management at any scale.

Litmus Edge Platform Features

Native Device Drivers

Access 250+ pre-built device drivers – the most in the industry. Our patented technology enables the rapid development of new drivers.

Data Normalization

Collect and structure various OT data types and formats into a standard JSON file ready to be used for analytics and applications.

Data Storage

Store normalized data in a scalable and secure time-series database with the option to integrate with any enterprise storage platform.

Data Engineering

Create data workflows, define data actions, debug data, set up alerts and visualize metadata with a drag-and-drop data processing engine.

Pre-Built KPIs

Improve OEE, machine uptime and production quality using pre-built or custom KPIs to track production time, change of value, anomaly detection, signal loss, and more.

Data Visualization

Quickly set up data visualizations and dashboards for OT teams to monitor production. The platform uses Grafana or works with any other data visualization tool.

Application Marketplace

Access a library of pre-populated applications or add custom applications to a private marketplace to quickly run them at the edge using containers inside the platform.

Solution Marketplace

Utilize vertical-specific applications for automotive, food & beverage, and more – designed and validated to accelerate deployment times and reduce complexity.

Application Runtime

Run any number of applications in a controlled and secure runtime environment using Docker container technology embedded inside the platform.

OT/IT Connectors

Integrate data rapidly with 20+ pre-built OT-IT connectors to Microsoft, AWS, Google, Cloudera and other systems via MQTT, REST API and Kafka.

Data Streaming

Stream complete or select OT data in any format to data teams and systems to support machine learning and other IT initiatives.

ML Runtime

Run any machine learning model trained by any machine learning system at the edge using container technology embedded inside the platform.

Litmus Edge Manager Platform Features

Device Configuration

Set up and configure IIoT devices remotely and create templates for rapid deployment to tens or hundreds of sites.

Device Support

Streamline IIoT device support with the ability to remotely manage, change configurations, troubleshoot, and send over-the-air updates.

Data Storage

Aggregate data from multiple Litmus Edge deployments in one place and allow other applications to access the data.

Data Visualization

Quickly visualize real-time data across all devices and factories with configurable dashboards and KPI reports.

Application Library

Create a global application library, decide which applications should be deployed at which sites, and control who has access.

Application Deployment

Create a containerized application and deploy, manage, and update it to any number of Litmus Edge deployments.

ML Model Repo

Create a centralized repository of machine learning models accessible to any production line or site.

ML Model Deployment

Containerize machine learning models, deploy them to any number of sites, and make updates for continuous learnings.


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