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IoT Application Enablement Platform

Software Development

Solution Group

Industry

Information Technology

PoC Duration

Iotellect Match

2-20 days
↓
AI powered Low Code IoT/IIoT Platform

Leverage a low-code platform to drive rapid development of IoT/IIoT cloud services and on-premise apps "slicing and dicing" connected asset data to discover valuable insights. The platform and derived product ecosystem speeds up digital transformation of businesses and delivery of new IoT products to the market. It empower developers to focus on innovation, not infrastructure, and bring your IoT vision to life faster than ever before.

Iotellect is a low-code IoT/IIoT application enablement platform for developing custom connected products, services, and enterprise applications. It enables system integrators, OEMs, software vendors, and industrial teams to connect sensors, PLCs, gateways, machines, vehicles, mobile devices, and cloud systems in one environment. Teams can build device management, data processing, analytics, dashboards, alerts, automation, and integrations while using edge and cloud deployment options to accelerate application development and reduce time-to-market.

Build Your IoT Application

Connect Your

IoT Devices

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PLCs
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Sensors and sensor hubs
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MCUs, single-board computers, and embedded modules
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Smart machines and equipment
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Wearables, smartphones and tablets
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Connected and autonomous vehicles
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Smart city and intelligent building infrastructure
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Consumer devices and electronic appliances
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IoT edge gateways and industrial PCs
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Connectivity modules and units
(Wi-Fi, Bluetooth, cellular, LPWA, etc.)
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Visualization and control interfaces
(displays, kiosks, touchscreens, etc.)
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Data storage and processing infrastructure
Connect Devices

Connectivity & Management

  • Utilize Iotellect's compatibility with over 100 communication protocols to connect IoT gateways and edge devices for efficient data exchange
  • Leverage device-side data normalization through Iotellect Agents to optimize communication with sensors for environmental monitoring
  • Implement real-time wireless communication using protocols like LoRaWAN to manage programmable logic controllers (PLCs) remotely
  • Facilitate connection of cloud-based IoT platforms for automatic data ingestion from asset tracking sensors
  • Deploy wireless modules such as Wi-Fi and Bluetooth for seamless API integrations with third-party applications
  • Leverage secure, encrypted data transmission from mobile devices to cloud platforms using existing communication protocols
  • Configure Iotellect Edge to handle device management and firmware updates for connected industrial automation sensors
  • Ensure compliance with secure data storage and access control mechanisms, particularly for sensitive environmental data

Integration

  • Build custom driver integrations using Iotellect's DDK for specific PLC communication requirements in industrial environments
  • Use low-code configurations to implement REST-based integration of cloud-based IoT platforms with enterprise resource management systems
  • Connect third-party environmental reporting solutions using MQTT protocols facilitated by Iotellect Edge support
  • Employ wireless communication standards like Bluetooth and Wi-Fi for seamless integration with central monitoring systems
  • Enable cross-platform compatibility for existing devices through integration with secure cloud services and databases
  • Connect visualization dashboards directly to external business intelligence systems using standard data protocols supported by Iotellect
  • Link predictive maintenance tools with legacy platforms using a standardized data model for streamlined information flow
  • Integrate third-party applications seamlessly with ongoing monitoring solutions through flexible API gateway capabilities

Analytics

  • Integrate Iotellect's Statistical Process Control module to enable high precision time-series analysis and trend detection using advanced predictive maintenance models
  • Use Iotellect's low-code expression language to set up real-time anomaly detection configurations in asset tracking systems
  • Deploy machine learning algorithms on edge devices supported by the platform for local predictive maintenance analysis
  • Develop heat maps to visualize environmental monitoring data gathered from a network of sensors across industrial sites
  • Implement AI-powered analytics for direct insights into security and operational issues reported by wireless communication modules
  • Perform comprehensive business intelligence analysis using correlated datasets from PLCs and cloud-based IoT platforms
  • Utilize visualization dashboards to track equipment performance KPIs across different job sites based on prevailing conditions
  • Create dynamic analytical models for resource allocation optimization using real-time data fed from edge sensors

UI/UX

  • Design intuitive HMIs using Iotellect's visual GUI Builder for displaying critical sensor metrics in real-time across multiple monitors
  • Utilize web-based UI components provided by Iotellect to create interactive interfaces that display live analytics from field-installed sensors
  • Integrate customizable charting functionalities into user dashboards to depict comprehensive visual overviews of collected data points
  • Establish near-instant alerting mechanisms based on predefined sensor thresholds supported through dashboard event components
  • Provide end-users with mobile-enabled reports and interfaces displaying up-to-date environmental conditions wherever needed
  • Extend touch functionality controls via responsive interfaces configured through compatible edge devices linked directly over WLAN pathways
  • Tailor regional-specific panel designs utilizing contextual information stored within the context tree formatting structure inherent within the system design framework provided by Iotellect

Key Features of Your
IoT Application Enablement Solution

Customers and Partners

  • System Integrators
  • Small or Medium Businesses
  • Independent Software Vendors
  • Engineering Companies
  • Enterprises/Corporations
  • Original Equipment Manufacturers

Solution Users and Developers

  • Dedicated low code developers
  • Data scientists and analysts
  • Industry-specific domain experts
  • IoT and IIoT professionals
  • Hardware and embedded electronics engineers
  • Industry 4.0 solution architects
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 an IoT application enablement platform?

An IoT application enablement platform provides the core capabilities needed to build connected applications, including device connectivity, data collection, storage, processing, analytics, visualization, device management, automation, and integrations.

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