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Best OEE Software for Manufacturing in 2026: Features, Pricing, and Deployment ComparedSCADA vs PLC vs HMI: Key Differences and How They Work TogetherYour IT Is Healthy. Are Your Business Services?Predictive vs Preventive Maintenance: Differences, Costs, and ExamplesAI-Assisted SCADA / MES Engineering and Operations: What Can Agents Do and How it Must Be Tested?How to Calculate OEE: Formula, Worked Examples, and Common Mistakes

Predictive Maintenance Platform

Infrastructure Management

Solution Group

Industry

Multiple

PoC Duration

Iotellect Match

1-5 days
↓
AI powered Low Code IoT/IIoT Platform

Bring a univocal business value materialized by higher equipment uptime, lower OPEX due to reduced repair costs, and stricter Service Level Agreements (SLAs) through a predictive maintenance solution developed to your demands. Leverage low code dataprep and machine learning framework for trend recognition, anomaly detection and more.

Iotellect is a low-code IoT/IIoT platform for developing custom predictive maintenance solutions for industrial equipment and infrastructure. It enables manufacturers, OEMs, and system integrators to connect PLCs, SCADA and DCS systems, IoT gateways, and condition-monitoring sensors in one environment. Teams can prepare operational data, detect anomalies, train machine learning models, estimate Remaining Useful Life and Time to Failure, and build dashboards, alerts, and maintenance workflows integrated with CMMS, MES, and ERP systems.

Build Your IoT Application

Connect Your

Predictive Maintenance Devices

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PLCs
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IoT edge gateways
for on-premise data aggregation
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3rd party SCADA and DCS software
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Sensors
for telemetry and telematics (e.g. vibration, temperature, amperage, differential pressure, and more)
Connect Devices

Connectivity & Management

  • Out-of-the-box support for most industrial protocols and standards including Modbus, OPC DA/HDA, OPC UA, MQTT, IEC-104, etc.
  • Reliable compressed and encrypted bridging of all collected data from different edge servers to the public or a private cloud
  • Native support for industrial data series with device-side timestamps and quality metrics

Integration

  • Flexible southbound integration with SCADA and MES systems
  • Low code integration with CMMS and MRO maintenance management software
  • Northbound integration with ERP systems for amending machine data with various parameters

Analytics

  • Best-in-class data preparation environment based on visual workflows, expression and query languages, and other advanced tools
  • Flexible machine learning module with dozens of algorithms and hundreds of hyperparameters
  • Evaluation of two key equipment health indicators, Time to Failure (TTF) and Remaining Useful Life (RUL)
  • Assessment of remaining operating cycles, mileage, transaction counts, and other machine-specific metrics
  • Reporting through various statistical diagrams with correlation to external sources (e.g. seasonal demands, change in raw material grade, process revision, etc.)
  • Identification of deviations from normal operating conditions that may indicate impending failures
  • Analysis of machine downtime trends and their effects such as production gaps, employee overtimes, final product/commodity quality variations, supply-chain gaps, etc.
  • Evaluation of maintenance costs against potential risks and operational impacts to prioritize maintenance actions
  • Optimization of maintenance schedules based on predictive insights to minimize downtime and maximize asset availability

UI/UX

  • Data science console for preparing datasets and training models
  • BI-style dashboarding for proper visualization of ML-based statistics
  • Organization of assets into categories or hierarchical structures for easier navigation and management
  • Equipment and process specific visualization of cost and performance for "prepare vs repair" analysis
  • Presentation of scenarios on equipment failures and maintenance recommendations
  • Data drill down for investigation of failure and anomaly root causes in complex fault scenarios

Key Features for Your
Predictive Maintenance System

Customers and Partners

  • System Integrators
  • Independent Software Vendors
  • Manufacturing/Production Industries
  • OEMs/ODMs

Solution Users and Developers

  • Dedicated low code developers
  • SCADA/HMI engineers
  • Maintenance engineers
  • Data scientists and analysts
  • Industrial process engineers
Customer success team
Community
Online training

Assistance

Hydropower Predictive Diagnostics

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Related Case Studies

Hydropower Predictive Diagnostics
An Automated Predictive Diagnostics System was deployed at a major hydroelectric power station on the Iotellect platform.

Customer
Under NDA
Country
Under NDA
Industry
Power Engineering
Solution Type
Industrial Automation

Common Questions

What is predictive maintenance software?

Predictive maintenance software analyzes equipment condition and operational data to identify abnormal behavior and estimate when failures may occur. It helps maintenance teams schedule interventions based on equipment condition rather than relying only on fixed maintenance intervals.

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