XMPro Pricing, Features, Reviews & Comparison of Alternatives

XMPro Reviews


Agile application suite for industrial IOT

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XMPro is a .NET-based software development suite that helps industrial organizations to create IoT (Internet of Things) applications with little or no coding work. The software is used by firms in the manufacturing, utilities, healthcare, oil & gas and pharmaceuticals sectors. XMPro provides real-time actionable data, predictive analytics and business process management capabilities.

XMPro Agile Application suite consists of two main modules that help in developing and deploying industrial IoT applications. XMPro’s Agile Design Studio module helps to monitor real-time asset performance using model-driven tools that offer easy-to-use features such as drag & drop options, automated workflows and visual representations. This module enables businesses to define problem statements, connect to sensors and other data sources, predict when action is required and respond to specific events according to defined rules.

XMPro's Action Console module consists of KPI dashboards, performance monitoring, decision trails and drill-down analysis tools. These tools help to respond to equipment issues, identify exceptions and facilitate predictive maintenance. The module uses drill-down analysis to identify root causes of failure or malfunction of sensor data as well as enables visualization of the decision trail.

XMPro offers mobile applications for both Android and iOS devices. These help users to create new tasks, track workflows, receive notifications, upload documents and collaborate directly from their tablets and smartphones. XMPro partners with Microsoft, Texas Instruments, Xively and OSIsoft and has built-in drivers for sensors and equipment from leading vendors including ABB, Siemens, GE and Honeywell.

XMPro Pricing

Pricing model: Subscription

Contact XMPro for pricing information.

Key Features of XMPro

  • Agile development
  • Visual analytics
  • Automated workflows
  • Predictive maintenance insights
  • Smart alerts
  • Real-time action data
  • Real-time dashboard
  • Drag & drop interface
  • Monitor asset performance
  • Azure databases
  • Process management
  • Location-based authentication
  • Integrate geo-location
  • Monitor sensor activities
  • Provide real time analytics
  • Decision trail
  • Drill-down analysis
  • Performance monitoring
  • Stream designer
  • Customizable dashboards
  • Root cause analysis

XMPro Screenshots (11)

XMPro screenshot: IOM active listening stream managerXMPro screenshot: Stream designerXMPro screenshot: Predictive maintenance modelXMPro screenshot: Real-time KPI dashboardsXMPro screenshot: Tasks and casesXMPro screenshot: XMpro analytics designerXMPro screenshot: Drill-down analysisXMPro screenshot: Visible decision trailXMPro screenshot: Workflow designerXMPro screenshot: XMPro on an iOS deviceXMPro screenshot: XMPro on an Android device


Intended Users
Large Enterprises, Mid Size Business
Devices Supported
Android, iPhone-iPad, iPhone, iPad, Windows, Web-based
Supported Countries
Australia, Middle-East and Africa, United Kingdom, United States
Supported Languages
Support Options
Online Support, Phone Support

Alternatives to XMPro


• XMPro uses predictive analytics to provide critical failure alerts of any equipment as well as offers operational intelligence support to generate actionable insights.

• The design environment of XMPro offers a drag and drop interface that enables users to design 80 - 90 per cent of the process without any coding or IT support.

• Field users can upload images, documents, audio and video clippings from their mobile applications without any additional set-up or development requirements.

• The solution integrates with IoT devices from different companies including MQTT, Azure IOT Suite and GE Predix as well as provides a compatible interface for enterprise applications such as ERP, SCM, CRM, GIS, SCADA and other systems.

• XMPro also supports various Azure products such as Web Apps, Azure databases, Event Hubs, Stream Analytics, IoT Hub and Azure Machine Learning.


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