Iotellect - Solution

Solution Group

Industry

Industrial Enterprise Management

Manufacturing

PoC Duration

Iotellect Match

1-3 days

AI powered Low Code IoT/IIoT Platform

Boost operational efficiency of IoT products and solutions through in-depth analytics and automated insights discovery. Optimize resource utilization, minimize downtime, and cut costs by anticipating maintenance needs and improving energy efficiency. Enhance product quality by detecting defects early, harmonize asset management, and accelerate time-to-market. First analyze data straightly on the edge, then enable aggregation, processing and deep analysis on the way to the private or public cloud. Follow a unique curve in every solution: optimizing the storage of harvested crops is totally different from orchestrating transactions in a smart grid or managing a fleet of forklifts.

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 and Data Sources

Sensors and sensor hubs

Cameras and AI-vision systems

Network and IT infrastructure equipment

Smart machines and equipment

Connected and autonomous vehicles

Consumer devices and electronic appliances

Connectivity modules and units

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

Data storage and processing infrastructure

Wearables and mobile devices

Smart meters and monitoring appliances

Industrial gateways and PCs

Robots and automated machinery

Building and facility automation systems

Displays, touchscreens, and other visualization devices

Smart city infrastructure

MCUs and single-board computers

Connect Devices

Support for multiple communication protocols (e.g., Wi-Fi, Ethernet, MQTT, OPC-UA, Modbus, Bluetooth, and Zigbee) to connect various industrial devices, sensors, and machines
Facilitation of real-time data streaming from machines and IoT sensors, enabling instant monitoring and control of manufacturing processes
Support for edge computing devices to process data locally, reducing latency and improving real-time decision-making
Provision for large-scale deployment by managing thousands of IoT devices and sensors across multiple locations from a central platform, ensuring easy scalability as operations grow
Recording of operational data and system events for auditing and troubleshooting purposes
Provision for over-the-air (OTA) updates to ensure devices run the latest firmware and software, improving performance and security without disrupting operations

Connectivity and Management

Low code integration with Supply Chain Management (SCM) systems
Low code integration with Energy Management Systems (EMS)
Low code integration with Industrial Control Systems (ICS)
Low code integration with Product Lifecycle Management (PLM) systems
Low code integration with workforce management systems
Low code integration with SCADA system
Low code integration with Manufacturing Execution Systems (MES)
Low code integration with Quality Management Systems (QMS)

Integration

Usage of machine learning models to analyze historical and real-time machine data, predicting equipment failures before they happen
Identification of unusual patterns or deviations in machine performance (e.g., abnormal temperature, pressure, or vibration levels) using AI algorithms
Analysis of past machine performance, production output, and resource usage to identify trends, inefficiencies, or recurring issues
Usage of process optimization analytics to identify bottlenecks, optimize production workflows, and improve throughput by analyzing data from machines, sensors, and production lines
Data analysis for identification of the root causes of equipment failures, production delays, or quality issue
Prescriptive analysis for actionable recommendations regarding improving operational efficiency, such as adjusting machine settings or reallocating resources to optimize output
Tracking of key performance indicators such as availability, performance, and quality to calculate OEE, giving manufacturers insights into how effectively their machines and equipment are utilized
Correlation of data from different machines, production stages, and external systems (e.g., weather, supply chain) to gain comprehensive insights into operational performance and external influences on production efficiency

Analytics

Visual representation through dynamic charts, bar graphs, line graphs, and gauges, making complex data more understandable and actionable
Provision for multi-level drill-down from high-level overviews to specific machine details or production metrics, enabling a more in-depth analysis of issues or opportunities
Visualization of machine performance and resource consumption across the factory floor, allowing users to identify bottlenecks or inefficiencies
Easy filtering of data, search for specific machines or metrics, and view only the most relevant information to streamline decision-making
Provision for visual and audible alerts on the dashboard when predefined thresholds are breached, such as machine temperature, vibration, or downtime, prompting immediate action
Overlay of different datasets (e.g., temperature vs. production rate) to identify correlations, trends, or anomalies

UI/UX

Key Features
for Your IoT Analytics and Machine Data Integration Solution

Customers and Partners

System Integrators
Independent Software Vendors
Enterprises/Corporations
Telecoms/MSPs
Original Equipment Manufacturers
Small and Medium Businesses

Solution Users and Developers

Dedicated low code developers
Industry-specific professionals
Data scientists and analysts
IoT/IIoT hardware developers
IT infrastructure experts
IoT and IIoT architects
Industrial and facility automation engineers

Customer success team

Community

Online training

IoT Analytics and Machine Data Integration