IoT Platform for OEMs/ODMs

Solution Group

Industry

IoT Application Enablement
Manufacturing

PoC Duration

Iotellect Match

3-25 days
AI powered Low Code IoT/IIoT Platform

Accelerate your branded IoT product development with a white-label low code platform that covers the "software part" end-to-end: device connectivity and OTA updating, data acquisition and storage, backend data processing, web UI development, mobile app SDKs, user and tenant management, security and authentication, and more. Benefit from rapid team development tools, scalable deployment and testing instruments, and powerful analytics - all without the need to manage complex infrastructure. Our platform empowers you to focus on your core hardware business and deliver innovative IoT solutions to your customers faster.

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

OEM/ODM Devices

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MCUs, single-board computers, and embedded modules
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Wearables, smartphones and tablets
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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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Data storage and processing infrastructure
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Your ODM smart consumer devices
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Your OEM industrial machines and controllers
  • Securely connect Programmable Logic Controllers (PLCs) and Industrial PCs with native support for protocols like Modbus and OPC UA, ensuring reliable communication and control
  • Leverage the edge computing capabilities to locally manage sensors and actuators, providing buffer storage and encryption during data transmission to the cloud
  • Utilize Iotellect's extensive protocol library to seamlessly integrate wireless communication modules like Wi-Fi, Bluetooth, and LoRa into network infrastructure
  • Implement advanced device management features to allow regular monitoring and updating firmware of remote sensors for temperature, pressure, flow, level, and vibration
  • Develop a comprehensive management system that allows real-time synchronization between RFID readers/barcode scanners and a central database for inventory tracking
  • Create a network of gateways for facilitating low-latency communication between edge devices and centralized data hubs, using predictive maintenance analytics for optimal performance
  • Deploy actuators such as valves and motors with real-time remote control capabilities over cellular networks, enhancing mobility in field operations
  • Set up automated environments using edge computing devices configured as IoT gateways to ensure data flow continuity during network anomalies

Connectivity and Management

  • Design a streamlined integration pathway with third-party cloud platforms like AWS using MQTT protocol drivers applied directly on Iotellect's unified data model
  • Establish bi-directional data exchange with MES systems through fully configurable REST APIs, aligning operational priorities with strategic KPIs in industrial contexts
  • Facilitate low-code integration with CRM platforms, augmenting customer-related analytics with real-time device activity data collected from edge devices
  • Craft an integration solution for energy management systems leveraging OPC UA protocol compatibility to centralize actuator control functions under a unified interface
  • Connect predictive maintenance forecasts into ERP platforms via structured data exchange standards such as JDBC/ODBC, streamlining resource scheduling based on operational health status of devices
  • Sync inventory management solutions with sensor-based RFID inputs using drag-and-drop templates within Iotellect's integration suite, enhancing stock accuracy across distributed locations
  • Embed the Iotellect system into existing Building Management Systems (BMS), managing environmental conditions monitored by temperature and humidity sensors in commercial spaces effectively
  • Integrate analytics-driven reports from remote monitoring devices directly into supply chain management software, offering visibility into asset lifecycle stages through consolidated KPIs

Integration

  • Utilize the statistical process control (SPC) module to analyze historical data trends related to vibration sensors, predicting potential maintenance needs
  • Apply machine learning algorithms on granulated datasets captured from RFID readers to predict high-demand items and streamline logistics processes
  • Use the predictive maintenance analytics feature to anticipate failure points in programmable logic controllers (PLCs), minimizing downtime through proactive interventions
  • Develop models that correlate environmental data from temperature and humidity sensors to actuator performance metrics, optimizing systems for changing conditions
  • Customize dashboards featuring predictive insights drawn from embedded systems data for real-time anomaly detection in industrial processes
  • Conduct a comprehensive analysis of flow sensor data using machine learning techniques to enhance fluid dynamics understanding in manufacturing pipelines
  • Implement a strategy for long-term trend prediction by analyzing compiled datasets from various field sensors regarding resource usage efficiency across industrial facilities
  • Integrate low-code expression language filters for continuous monitoring of event streams, enabling rapid response strategies for unexpected actuator behaviors

Analytics

  • Provide interactive dashboards featuring dynamic color-coded indicators visualizing real-time sensor statuses across multiple metrics such as temperature or flow levels
  • Offer intuitive graphical displays of actuator functionality based on current operational settings via vector-based component libraries within customizable dashboard interfaces
  • Harness multi-layer map visualization tools overlaying sensor grid data on geographical layouts, supporting field operators in pinpointing exact device locations quickly amidst sprawling installations
  • Enable users to construct tailored interfaces that represent cluster-specific RFID/barcode reader activities via low-code component configuration panels directly available within visual GUI Builder tools
  • Streamline user interactions by developing context-sensitive help systems incorporated into existing user displays, leveraging HTML5-enabled web components for cross-platform compatibility across desktop environments
  • Foster increased accessibility through touch-enabled interfaces designed specifically for deploying kiosks interfacing with temperature or humidity control panels featured in embedded systems setups
  • Support remote collaboration scenarios where expert oversight is delivered via rich client portals displaying aggregated vibration analysis findings accessible securely over secure connections anywhere globally

UI/UX

Key Features
of our OEM/ODM IoT Platform

Customers and Partners

  • System Integrators
  • Original Device Manufacturers
  • Independent Software Vendors
  • Engineering Companies
  • Original Equipment Manufacturers

Solution Users and Developers

  • Dedicated low code developers
  • Industry-specific professionals
  • Building automation engineers
  • Data scientists and analysts
  • IoT/IIoT hardware developers
  • Industry 4.0 solution architects
  • Embedded systems engineers
  • OEM/ODM product managers
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

Proved Worldwide
Across Industries
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15 000 000 000 000+

data samples collected and processed

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25 000 000+

devices under monitoring and supervision

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40 000+

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

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300+

SaaS and on-premise partner products created

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80+

countries leverage Iotellect technology

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