Litmus Edge logo

Litmus Edge

by Litmus · Since 2013
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ActiveAvailable globallyCloud
Quick facts
VendorLitmus
Year launched2013
StatusActive
Location2350 Mission College Boulevard Suite 1020 Santa Clara, California 95054 United States of America
Countries servedGlobal
Languages2
Integrations
Free tier
Free trial
Contact salesYES

About Litmus Edge

Litmus Edge is an edge data platform from Litmus that connects any OT asset and standardizes data at the edge. It changes raw signals into AI-ready insights to power analytics, cloud, and industrial applications. This platform is deployed at thousands of industrial sites worldwide, enabling users to operationalize edge data quickly and efficiently. Litmus Edge combines features like asset connectivity, data standardization, and AI readiness to support a wide range of industrial operations. Key capabilities: data integration analytics support asset management cloud connectivity operational insights Best for: organizations that need to convert operational technology data into actionable insights for improved decision-making and analytics.

Litmus Edge is a cutting-edge preventive maintenance software solution designed to help industrial companies, particularly those in manufacturing, transportation, construction, oil & gas, and energy sectors, streamline their maintenance operations. It’s a pivotal tool for businesses looking to embrace Industry 4.0 by leveraging real-time data, analytics, and predictive insights to optimize equipment performance and reduce downtime. The software is tailored to meet the needs of Original Equipment Manufacturers (OEMs), machine builders, system integrators, and resellers, offering a flexible platform for managing and monitoring industrial assets and their performance. The user interface of Litmus Edge is clean, intuitive, and designed with efficiency in mind. Upon logging into the platform, users are greeted with a straightforward dashboard that gives quick access to key metrics and maintenance alerts. Navigation is simple and seamless, with clearly labeled menus, and a customizable interface that allows users to tailor the layout according to their preferences. One of the standout features of the user interface is the interactive visualization of equipment data and performance metrics, which can be viewed in real-time.

Pros & Cons

What users like
  • +Ease of use: The platform is user-friendly and easy to navigate.
  • +Flexible connectivity: Supports a wide range of industrial protocols and devices.
  • +Data normalization: Standardizes data from various sources for better analysis.
  • +Real-time data processing: Processes data in real-time for timely insights.
  • +Scalability: Can handle large-scale deployments and increasing data volumes.
  • +Strong customer support: Offers excellent customer support and assistance.
What users flag
  • Limited customization options: Some users may find the customization options limited for complex use cases.
  • Steep learning curve for advanced features: Advanced features may require technical expertise to fully utilize.
  • Occasional performance issues: Some users have reported performance issues, particularly with large-scale deployments.

Features

Key features

Industrial Connectivity
Connects to a wide range of industrial devices and systems.
Data Normalization
Standardizes data from various sources.
Real-time Data Processing
Processes data in real-time for immediate insights.
Centralized Management
Manages devices, data, and applications from a central console.
AI and ML Integration
Enables the development and deployment of AI and ML models.
Scalability
Scales to handle increasing data volumes and complexity.
Security
Ensures data security and privacy with robust security measures.

Additional features

Industrial Connectivity
Connects to a wide range of industrial devices and systems using pre-built drivers and protocols (e.g., Modbus, OPC-UA, MQTT).
Data Ingestion
Ingests data from various sources, including sensors, PLCs, and other industrial devices.
Data Normalization
Standardizes data formats and units to ensure consistency.
Data Enrichment
Enhances data with context and metadata.
Data Storage
Stores data in a scalable and reliable data store.
Real-time Data Processing
Processes data in real-time to enable timely insights and actions.
Data Analytics
Provides advanced analytics capabilities, including time-series analysis, statistical analysis, and machine learning.
Data Visualization
Visualizes data through dashboards and reports.
AI and ML Integration
Integrates with AI and ML frameworks to build and deploy models.
Edge Computing
Processes data at the edge for low-latency applications.
Cloud Integration
Integrates with cloud platforms for data storage, processing, and analysis.
Security
Implements robust security measures to protect data privacy and integrity.
Scalability
Scales to handle increasing data volumes and complexity.
Centralized Management
Provides a centralized console for managing devices, data, and applications.
User Management
Manages user access and permissions.
Alerting and Notifications
Sends alerts and notifications based on predefined conditions.
Integration with Third-Party Systems
Integrates with other systems, such as ERP, MES, and SCADA.

Pricing

Free trial
Free version
Request a quote
Promo Offer

Monthly plans

Foundation

USD 1,250

Countries & Languages

Global
Countries served
2
Interface languages
5
Billing currencies

Interface languages

EnglishJapanese

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP🇯🇵JPY🇨🇳CNY

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