Iotellect - Solution

Solution Group

Industry

Software Development

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. It does not work as an out-of-the-box solution or product. Instead, it helps you to monetize your IoT know-how by dramatically lowering labor costs and cutting time-to-market for your product, service, or solution. It allows business-oriented IoT professionals to join the development process by converting their IoT market knowledge directly into product features and specific value delivered to your end customers.

Build Your IoT Application

Connect Your

IoT Devices

PLCs

Cameras and computer vision systems

Grid integration devices

MCUs, single-board computers, and embedded modules

Smart machines and equipment

Wearables, smartphones and tablets

Connected and autonomous vehicles

Smart city and intelligent building infrastructure

Consumer devices and electronic appliances

IoT edge gateways and industrial PCs

Connectivity modules and units

(Wi-Fi, Bluetooth, cellular, LPWA, etc.)

Visualization and control interfaces

(displays, kiosks, touchscreens, etc.)

Data storage and processing infrastructure

Connect Devices

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

Connectivity and Management

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

Integration

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

Analytics

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

UI/UX

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

Low-Code IoT Development