Iotellect - Solution

Solution Group

Industry

Industrial Enterprise Management

Manufacturing

PoC Duration

Iotellect Match

10-40 days

AI powered Low Code IoT/IIoT Platform

Enable reliable delivery of industrial and IT data between various systems within an enterprise. Implement a high-performance data storage facility allowing to design a unified corporate data lake. Scale to many millions of samples per second, providing operational intelligence for very large infrastructures. Collect and publish data via a hundred communication protocols, implementing a company-wide Enterprise Data Bus (EDB) and Enterprise Service Bus (ESB). Upstream data from remote facilities to the HQ while filtering values at any level, ensuring that more valuable events get higher while less important ones get stored at the low-level platform servers or at least aggregated before their escalation.

Iotellect is a low code IoT/IIoT platform and ecosystem that includes out-of-the-box industrial automation and digitization products, such as SCADA, BMS and BI. It allows business-oriented IoT professionals to join the solution development process by converting their Industry 4.0 knowledge directly into product features and specific value delivered to your end customers.

Build Your IoT Application

Connect Your

Industrial Data Sources

PLCs

Industrial PCs

Smart meters

Edge computing devices

IIoT gateways

Network switches and routers

Barcode scanners and RFID readers

Data loggers

Connected industrial equipment

such as CNCs

Human-Machine Interfaces (HMIs)

SCADA/MES systems

Databases and historians

Time-Sensitive Networking (TSN) devices

Connect Devices

Enabling of data exchange between sensors, controllers, and systems through widely used communication protocols such as MQTT, CoAP, modbus, OPC-UA, profibus, etc.
Provision of localized data processing close to the source (sensors, machines), reducing the need to send all raw data to a central system or cloud, thus optimizing bandwidth and response times for real-time operations
Facilitation of direct communication between devices without needing a central server, enabling faster data sharing and decentralized decision-making
Integration of industrial data into broader business systems, managing resources, production schedules, and inventory in coordination with real-time operations
Automation of regulatory reporting, making it easier to comply with industry standards (e.g., ISO, OSHA) and governmental regulations
Continuous monitoring of machine health by analyzing sensor data, predicting potential failures, and initiating preventive maintenance to avoid downtime
Failover Mechanism to ensure continuous operations by switching to backup devices or systems automatically in case of a network disruptions or system downtime

Connectivity and Management

Low code integration with Supply Chain Management (SCM) systems
Low code integration with Product Lifecycle Management (PLM) systems
Low code integration with SCADA system
Low code integration with digital twin platform
Low code integration with predictive maintenance platforms
Low code integration with Manufacturing Execution Systems (MES)
Low code integration with Quality Management Systems (QMS)
Low code integration with Human-Machine Interface (HMI) systems

Integration

Identification of specific events or anomalies in real time, such as equipment malfunctions, quality issues, or safety violations, and triggers automated actions or alerts
Usage of historical data, machine learning, and AI algorithms to predict equipment failures before they occur
Prediction of future production requirements, optimizing inventory levels and resource allocation based on historical trends and market data
Specific recommendations for improving processes, adjusting production schedules, or reallocating resources to enhance efficiency and minimize costs
Identification of the underlying causes of equipment failures, quality issues, or production bottlenecks by analyzing historical and real-time data
Detection of deviations from normal operational patterns using statistical analysis and machine learning, allowing quick identification and resolution of potential problems before they escalate
Extraction of valuable patterns and correlations from vast datasets collected from industrial systems, sensors, and machines, helping to discover hidden insights for process optimization or product development
Usage of deep learning or neural networks for complex problems, such as image recognition in quality control or optimizing multi-variable processes
Determination of the cause-and-effect relationships between operational parameters and production results, helping industries to fine-tune processes for optimal performance

Analytics

Visual representations of key performance indicators (KPIs), operational statuses, and data trends, helping managers make informed decisions quickly
Virtual modelling of physical industrial assets or processes that are continuously updated with real-time data
Usage of charts, graphs, and other visual tools to display data in an easy-to-understand format, making it simpler for operators and decision-makers to identify trends, patterns, or issues at a glance
3D visualizations of machinery, workflows, or plant layouts provide real-time visual monitoring and analysis of industrial environments
Heat mapping of machine performance or operational data spatially, highlighting areas with high activity, downtime, or energy usage
Progressive revealing of more detailed data layers, allowing users to go from high-level overviews to detailed analytics without leaving the dashboard
Interaction with system diagrams, such as flow charts or machine layouts, to visualize and control processes directly from the interface
Feature to replay historical data over a specific time period to analyze past performance, identify trends, or investigate the root cause of an issue

UI/UX

Key Features
for Your Industrial Data Management System

Customers and Partners

System Integrators
Original Device Manufacturers
Independent Software Vendors
Engineering Companies
Manufacturing Firms
Small and Medium Businesses
Consulting Companies

Solution Users and Developers

Dedicated low code developers
Industrial automation engineers
Business and system analysts
Industrial process engineers
Industry 4.0 and IIoT solution architects
BI professionals

Customer success team

Community

Online training

Assistance

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Meet

Start building your IoT app or service by creating a new Application, or continue an already existing project

Install even more modules, plugins, and drivers from the integrated Marketplace

Configure and control every aspect of your Iotellect Server and manage its users with administration tools

Keep an eye on Server health and analyze its performance with the Monitoring dashboard

Find detailed tutorials on using the Platform and answers to a wide variety of questions in the Knowledge Base

Get inspiration from the practical examples found in the IoT business case Demos

Level up your Iotellect skills with the Platform Training Events and share your Platform experiences with our Community

Create and manage resources, set up the deployment environment, and configure the application from a single dashboard

Access the properties, configurations and countless features of every resource used in your current project from the Application Resources tree

Try the Tutorial on how to create a simple IoT application to understand the basics of building a functional IoT solution with Iotellect

Access the properties, configurations, and countless features of every resource in your Iotellect Server from the System Tree

Configure and control every aspect of your Iotellect Server and manage its users with Administration tools

Keep an eye on Server health and analyze its performance with the detailed Monitoring dashboard

Home Screen

Quickly access everything you need, whether starting a new session on the Platform or continuing from where you left off

Development

Build IoT applications of any complexity with ease in a simple, yet powerful, dedicated workspace

Administration

Manage and monitor your Iotellect Server instance, its users and all created resources

improve your business with a perfectly self-tailored

or win more clients with a new

market product

in-house service

Open Demo

Proved Worldwide

Across Industries

15 000 000 000 000+

data samples collected and processed

25 000 000+

devices under monitoring and supervision

40 000+

types of devices and data sources connected via more than 50 supported communication protocols

300+

SaaS and on-premise partner products created

80+

countries leverage Iotellect technology

Start Designing Your PoC

Industrial Data Management