Making IIoT More Accessible from Day One

Flexible packages help manufacturers of all sizes deploy and scale quickly at the edge, in the cloud or both. Unlimited nodes with pricing based on number of sites and data points. Contact our sales team for more information.


For teams that are looking to unlock their plant floor data.



For teams that are looking to do more with their data at enterprise scale.

Everything in Foundation, plus


For teams that are looking for advanced enterprise-scale management and features like digital twins.

Everything in Growth, plus

Alternative Pricing Models

We welcome inquiries from other solutions and services providers across the ecosystem to enhance their offerings and better serve their clients:

  • Gateway or hardware OEMs looking to offer a combined (whitelabeled) hardware/software edge computing solution out of the box.
  • Resellers, SIs, consultants and solutions providers who want to to build and service Industry 4.0 use cases with our platform.
  • Cloud service providers or AI/ML companies who want to OEM an OT data collection and edge platform as part of their offering.

Fill out this form if you’d like to speak further to understand our platform and explore pricing options.

Plan Comparison





System Statistics

Dashboard contains overall stats about the entire network of OT assets and is completely offline.

Plots + Graphs

Preset charts showing live trends on CPU utilization, memory load and network utilization.


Industrial Connectivity

250+ drivers to connect to any OT asset: PLCs/DCS, robots, CNCs, sensors, historians, SCADA, Excel, etc.

Data Collection

Automatically convert any raw industrial data collected into a standard JSON format.

Data Contextualization

Industrial data collected is enriched with user-defined metadata for more context.

Basic Data Modeling

Leverage the standard data model created for the PLCs or build custom models on top as needed.


Distributed architecture for mass processing (not a single point of failure).


Edge Data Storage

Fully integrated one-click timeseries data storage at the edge.

Edge Metadata Management

Complete metadata management for industrial data collected. Add Asset, Line, Site and other information that is required for data-consuming applications.

Edge Message Broker

Native message broker isolates IT and OT systems and allows Pubsub to scale parallel data processing.

Store + Forward

Buffer data in the event of a broken connection between the edge and any destination system. Transmits buffered data upon reconnection.

External Data Storage

Connect to external relational database or any modern database of choice.

Flows Manager

Edge Workflows

Easy-to-create drag-and-drop workflows, powered by Node-red.

Data Transformations

On-the-fly transformations using statistical and mathematical functions.

Alerts, Events + Triggers

Trigger actions and notifications via email or SMS. Create simple dashboards and operator inputs.


Ready Analytics & Key Performance Indicators

Real-time and historical processing to calculate 35+ different KPIs such as OEE, statistical prediction, FFT, anomaly detection and custom code. Flexibility to bring custom scripts.

Machine Learning

Create, manage and run trained ML models inside Analytics.

Statistical Functions

Built-in statistical functions – anomaly detection, moving window, Gaussian filter, Statistical prediction and more.



Deploy third-party applications available, list your own Docker applications and keep them in sync with the residing server.


Manage Docker containers for deployed applications in your marketplace catalogs.

One Container Included

SparkplugB Connectivity

Integrate Litmus Edge as an end-node into existing SparkPlugB based solutions on the plant floor. This feature is powered by the Litmus Solutions Team and deployed via a container.

File Services

Built-in FTP server, CIFS, disk monitoring and policies.

Developer Services

SDKs, Rest API and Data API access to Litmus Edge and Litmus Edge Manager.

Digital Twins

Create + Import Models​

Create a new model or import a model as a JSON file.

Manage Models

Change or update models, filter and search models, export models or clone them.

Add + Manage Instances

Create instances that are inherited from the models. Instances contain static and dynamic data.


Enterprise Connectivity

Integrate to IT and business systems, including Cloud (Microsoft Azure, Google Cloud Platform, AWS), Kafka, Databases, Splunk, SQL, MES, REST APIs, SIEM, etc.


OPC UA Server

Fully integrated OPC-UA server to provide OT systems with raw, analyzed, ML or cloud received data.


Flexible Deployment Models

Baremetal OS, VM (Esxi, Hyper-v, VirtualBox) or Container.

Bare Metal OS & VM

Bare Metal OS & VM

Bare Metal OS & VM + Containers

ARM64-Based Deployment

Deploy as a container on ARM64-based hardware. For foundation and growth, limited pre-built images are available upon request. These plans do not include ARM64 containers.

Secure or Custom OS Deployment

Deploy Litmus Edge as an application within existing IT or security team approved Redhat based golden-image. This allows edge deployment to comply with custom OS monitoring and maintenance tools.

Red Hat Enterprise Linux



LINUX-based, hardened security, role-based access control.


Integrate with a SIEM solution.

Centralized Management

Lifecycle Management

Central lifecycle management for all edge nodes. Remote configuration, OTA updates, remote monitoring and license management.

Remote Backup + Restore Management

One-click backup and restore of any edge node.

Deployment Templates Management

Create fully customizable node templates and quickly scale out use cases across various line and plants.

Remote Access

Access any field instance of Litmus Edge through the UI remotely to troubleshoot and configure.

Centralized Data + Dashboards

Use Litmus Edge Manager to drive centralized dashboards with data from Edge instances. Powered by Grafana.

Application Orchestration

Create private marketplaces and deploy containers, apps and ML models to the edge.

Administrative Portal

Central Litmus Edge Manager portal for managing all projects and backend services. Security Admin Portal powered by Redhat Keycloak.

Central SIEM Integration

Forward Litmus Edge Manager logs and events to a central existing SIEM system.

Kafka Message Broker

Built-in Kafka message broker access for centralized data access across all Litmus Edge nodes and projects.

Digital Twin Orchestration

Manage and deploy digital twins in a central location.



Included in Foundation, Growth and Scale


Everything in Standard, plus

Upon Request in Foundation, Growth and Scale


Everything in Enhanced, plus

Upon Request in Foundation, Growth and Scale

Customers Love Getting Results with Litmus

Join manufacturers and global brands making Industry 4.0 a reality.

Smart industry robot arms for digital factory production

“20/80 reversal – instead of spending ~80% of the time figuring out the problems and ~20% on actually solving them, now it is commonly the other way around.”


What is a "site"?
  • A site has at least one instance of the Litmus Edge software deployed and is either:
    • A physical location (e.g., an oil rig, or 5 CNC machines located on a single factory);
    • A physical building (e.g. multiple buildings at a location such as 5 separate customer buildings for manufacturing or warehousing which are all in one location);
    • A remotely located isolated asset (e.g., an immobile asset such as a compressor or group of compressors at single physical location, or a mobile asset such as a truck or heavy construction equipment); and/or
    • Asset OEM’s customer sites (e.g., where an OEM sells to a boiler manufacturer, and said boiler manufacturer bundles the products and sells them to an end user – each end user location in this scenario would be considered a site).
What is a "data point"?
  1. Raw data tags from PLCs (all array tags are counted towards multiple tags depending on the size of array).
  2. Derived data points (from Litmus Edge Flows).
  3. Analytics data points (from Litmus Edge Analytics).
  4. ML data points (from Litmus Edge Analytics).
Are data tags from "child" PLC devices counted as "data points"?


Are "counts" in some PLC models counted as "data points"?
Yes. Size of the array will be counted towards multiple tags. Example: Count = 5 (or Array = 5) will be 5 data points.
Are data points collected from dockerized applications running within Litmus Edge counted as "data points"?
  1. If data stays inside the application, then it is not counted.
  2. If data from the docker application is pushed to the Datahub message broker for routing/Analytics/Flows/integration purposes, then it is counted.
In terms of packages, how will clients be migrated from "Foundation" to "Growth" or "Scale" - or from "Growth" to "Scale" - during an annual subscription term?

It will be done on a pro-rata basis. For example, if, within a 7-month (of 12-month) period, a client wishes to migrate from Foundation to Growth, the client will be charged the difference between the monthly rate of Growth and Foundation packages for the remaining 5 months of the year. And from the following year, the client will be charged the full Growth package price.

What if I'm a smaller business or just getting started?

We know that one size doesn’t fit all so we try to be flexible to meet your needs. If you’re not ready for the Foundation package, we also offer a Starter package with a single node and limited integrations and functionality.