Litmus Edge
Industrial IoT software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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$1,500 per month
Free TrialFree version
Small
Medium
Large
- Manufacturing
- Agriculture, fishing, and forestry
- Construction
What is Litmus Edge
Litmus Edge is industrial IoT edge software used to collect, normalize, and route operational technology (OT) data from factory equipment to on-premises or cloud systems. It targets manufacturing and industrial teams that need near-real-time data acquisition, protocol connectivity, and edge processing for use cases such as OEE, condition monitoring, and analytics enablement. The product emphasizes running at the edge with built-in device connectivity, local data handling, and integration paths to enterprise and cloud platforms.
Broad OT protocol connectivity
Litmus Edge focuses on connecting to industrial assets using common OT protocols and drivers, reducing the need for custom connectors. This helps teams standardize data collection across heterogeneous equipment. It is particularly useful in brownfield environments where multiple PLC and machine interfaces coexist.
Edge-first data processing
The platform supports local data filtering, transformation, and buffering at the edge, which can reduce bandwidth usage and improve resilience when connectivity to central systems is intermittent. This approach fits plants that require low-latency data access for local applications. It also supports architectures where only curated data is forwarded upstream.
Integration to IT and cloud
Litmus Edge is designed to publish normalized data to downstream consumers such as historians, MES/SCADA integrations, and cloud IoT services. This can shorten implementation time for analytics and monitoring initiatives by providing a consistent data pipeline. It also supports multi-site patterns where edge nodes feed centralized platforms.
Not a full MES suite
Litmus Edge primarily addresses connectivity and edge data operations rather than end-to-end manufacturing execution workflows. Organizations seeking production scheduling, genealogy, quality management, or detailed work-instruction execution typically need additional systems. This can increase overall solution complexity when MES functionality is a core requirement.
Modeling and governance vary
Industrial data initiatives often require strong asset modeling, semantic normalization, and governance across sites. Depending on the deployment approach, teams may still need to define and maintain naming standards, tag models, and data quality rules outside the product. This can shift effort to implementation and ongoing operations.
Edge operations require expertise
Running and maintaining edge software across plants introduces operational tasks such as node provisioning, updates, security hardening, and monitoring. Organizations without mature OT/IT collaboration may face longer rollout cycles. The product may require complementary tooling and processes for fleet-scale lifecycle management.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Foundation | Starts at $1,500/month | Native protocol drivers (250+ OT systems), industrial data collection (PLCs, DCS, historians, OPC DA/UA), automated data normalization & quality checks, data contextualization engine, edge time-series storage, metadata management, native edge message broker, edge workflows, alerts/events/triggers, native cloud & enterprise connectivity, OPC-UA server, one containerized application. |
| Growth | Custom pricing (Get custom quote) | Everything in Foundation, plus ready analytics & manufacturing KPI calculations, Edge AI/ML model serving and inference, statistical functions & scripting environment, private applications marketplace, ability to bring your own containerized apps, SparkplugB connectivity. |
| Scale | Custom pricing (Get custom quote) | Everything in Growth, plus developer SDKs & API portal, complex SSO/SAML & RBAC modules, flexible deployment models, digital twins, ARM64-based container deployments, RHEL & secure OS-based deployment (private beta), SIEM security integrations. |
Add-ons: Litmus UNS (Unified Namespace) — enterprise-grade MQTT broker / data governance add-on (Speak with Sales).
Seller details
Litmus Automation, Inc.
San Jose, CA, USA
2014
Private
https://litmus.io/
https://x.com/LitmusAutomation
https://www.linkedin.com/company/litmus-automation/
