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Low-Code IoT Development Platform

Software Development

Solution Group

Industry

Information Technology

PoC Duration

Iotellect Match

2-12 days
↓
AI powered Low Code IoT/IIoT Platform

Accelerate IoT product development with a low-code platform that simplifies the entire lifecycle - from device connectivity to cloud-based analytics. Rapidly build and deploy IoT solutions without complex coding. Leverage pre-built integrations, drag-and-drop interface design, and scalable cloud infrastructure to bring connected products to market faster. Empower your team to innovate and iterate quickly, while maintaining enterprise-grade security and reliability. Unlock new business models and revenue streams by quickly adapting to changing customer needs. Streamline your IoT development and focus on delivering value, not managing infrastructure.

Iotellect is a low-code IoT/IIoT development platform for building custom connected products, industrial applications, and enterprise IoT solutions. It enables system integrators, OEMs, software vendors, and in-house teams to connect sensors, PLCs, gateways, machines, cameras, mobile devices, and cloud systems in one environment. Teams can configure device connectivity, edge processing, data management, dashboards, analytics, alerts, automation, and integrations with minimal custom coding, reducing development effort and time-to-market.

Build Your IoT Application

Connect Your

IoT Devices

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PLCs
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Cameras and computer vision systems
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Grid integration devices
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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

  • Support for time-series data with quality metrics and timestamps for monitoring wireless sensor nodes
  • Edge-side data acquisition from RFID readers with buffering, encryption, compression, and filtering on the way to the cloud
  • Direct interaction with third-party cloud platforms using MQTT and REST protocols for barcode scanner integration
  • Real-time remote management and diagnostics of cameras and computer vision systems
  • Integration of environmental sensors using a context tree to create hierarchical resource management
  • Control and monitoring of asset tracking devices through a unified data model for streamlined management
  • Remote firmware updates for edge gateways and routers via secure boot mechanisms ensuring system integrity
  • Multi-user access controls for programmable logic controllers in distributed industrial environments

Integration

  • Low code integration with supply chain management systems utilizing data from asset tracking devices
  • Streamlined integration with existing industrial infrastructure through support for various communication protocols in edge gateways
  • Low code connectors for injecting and exposing environmental sensor data via scalable cloud services like AWS or Azure
  • Enable industrial IoT solutions by integrating edge computing capabilities into legacy systems with OPC UA connectors
  • Provide seamless integration between remote monitoring equipment data streams and enterprise applications
  • Device snapshots facilitate synchronization when integrating intermittent connectivity solutions like cellular networks in the field
  • Data normalization allows custom driver development that integrates barcode scanners directly with ERP systems without programming effort
  • Integration of wireless sensor nodes with smart building management systems to optimize energy consumption

Analytics

  • Real-time analysis of actuator and motor performance trends using statistical process control module
  • Fault detection in industrial PCs and embedded systems using integrated machine learning models
  • Low-code expression language to set custom alert parameters for environmental sensor readings
  • Preprocessing data from remote monitoring equipment to enable low-latency analytics at the edge
  • Prediction of RFID reader operational costs using economic modeling based on usage data
  • Classify air quality patterns derived from environmental sensors to suggest facility-wide heating adjustments
  • Perform anomaly detection on camera feeds with event correlation to protect high-security areas
  • Estimation of device lifecycle improvement for barcode scanners utilizing historical performance metrics

UI/UX

  • Customizable dashboards to visualize temperature and humidity trends from environmental sensors in real-time
  • Drag-and-drop interface for creating asset tracking device maps to monitor geographical distribution efficiently
  • Interactive visualization tools to display real-time conditions captured by cameras across different facilities concurrently
  • Web-based design tools enabling touch panel interfaces that support device status alerts within industrial settings
  • Real-time video wall configurations providing high-resolution camera feed coverage of critical zones on situational awareness boards
  • Advanced management consoles allow users to adjust actuator thresholds remotely from any standard web browser environment
  • Use dynamic vector graphics to convey workflow processes based on barcode scanning operations on user dashboards effectively

Key Features of the Low-Code IoT Development Platform

Customers and Partners

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

Solution Users and Developers

  • Dedicated low code developers
  • Industry-specific professionals
  • Citizen developers
  • IT infrastructure experts
  • Digital transformation consultants
  • Business analysts and data scientists
  • Industrial and building automation engineers
  • IoT/IIoT and Industry 4.0 solution architects
  • Hardware and embedded system developers
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 a low-code IoT development platform?

A low-code IoT development platform provides visual tools, reusable components, connectors, APIs, and configuration-driven workflows for building IoT applications with less custom coding. It can cover device connectivity, data processing, analytics, dashboards, automation, and integrations.

info@iotellect.com
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