Machine-to-Machine Platform

Solution Group

Industry

IT Infrastructure Management
Information Technology

PoC Duration

Iotellect Match

15-30 days
AI powered Low Code IoT/IIoT Platform

Build your own end-to-end M2M solution to remotely monitor, control, and optimize your equipment and processes. Leverage a scalable, cloud-based platform to connect your machines, collect sensor data, and apply advanced analytics for data-driven decision making. Optimize operations, reduce maintenance costs, and unlock new revenue streams by transforming raw data into valuable business insights.

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

Devices and Machines

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PLCs
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Connectivity modules and units
(Wi-Fi, Bluetooth, cellular, LPWA, etc.)
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Connected machines and equipment
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Wearables and mobile devices
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Smart city and facility infrastructure
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Edge computing devices
(gateways, routers, industrial PCs, etc.)
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Industrial PCs and Embedded Systems
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Industrial robots and CNC machines
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Connected sensors and sensor hubs
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Smart meters and meter hubs
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Cameras and access control devices
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Fleet vehicles and asset trackers
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Displays, kiosks, and touchscreens
  • Off-the-shelf support for protocols like MQTT, CoAP, and OPC UA enables quick connections with sensors monitoring temperature, humidity, pressure, and more
  • Industrial PCs and Linux-based PLCs can be configured as edge data collection gateways through the use of Iotellect Agents, supporting consistent data flow to the cloud
  • Virtual PLC drivers handle connections and data normalization for diverse industrial devices like CNC Machines and Industrial Robots, facilitating their integration into the platform
  • IP cameras integrate through standardized protocols to offer remote control capabilities over access control devices within building management systems
  • Programmed HVAC systems enhance operations by adapting heating or cooling based on real-time occupancy data collected from various sensors
  • Power Distribution Units (PDUs) leverage Secure Boot mechanisms to maintain secure communications when interacting with cloud services
  • Embedded systems at logistics hubs automate fleet vehicle tracking via GNSS connectivity and telemetry extraction using low code drivers
  • Usage of remote control features for Industrial PCs ensures process optimization without needing direct physical interventions

Connectivity and Management

  • Low code integration permits efficient connection with logistics software to allow seamless telemetry sharing from fleet vehicles
  • Integration with smart grid management systems optimizes energy used by building management systems by analyzing patterns and directing resource flow efficiently
  • Centralized monitoring facilitates integration of security protocols across building access devices using role-based access configurations
  • Flexible connectors allow energy consumption data from meters to be shared with external ERP platforms for strategic planning initiatives
  • Integration with SCADA platforms using Iotellect's adaptable driver interfaces supports HVAC performance fine-tuning across complex installations
  • Dashboards component integrations with external BI tools enable enriched visual insights drawn from diverse datasets tracked by sensors at facilities
  • Connection of machine status metrics from connected CNC machines feeds into MES systems for continuous operation assessment and optimization planning

Integration

  • Powerful low-code expression language is utilized to create advanced alert logic, monitoring UPS health for predictive maintenance triggers
  • Real-time vibration data from generators feed into machine learning models to predict potential failures before they impact operations
  • Advanced data processing on edge devices provides anomaly detection in flow meters, improving response times for water or gas supply disruptions
  • Predictive analytics algorithms forecast generator performance, helping to avoid downtime during critical operations
  • Embedded sensors provide granular vibration analysis of industrial robots to optimize maintenance schedules and prevent unexpected downtimes
  • Flow meters utilize statistical process control modules to provide historical usage comparisons for optimizing resource distribution in manufacturing plants
  • Fleet vehicle data is compiled into comprehensive efficiency reports, promoting greener logistics practices with reduced carbon footprints
  • High-performance computation environments perform sentiment analysis on operator logs to improve workforce productivity

Analytics

  • Fully customizable UIs allow operators to manage complex dashboards displaying UPS status alerts through dynamic vector images
  • Administrators use integrated dashboards representing generator performance alongside predictive model outcomes for more precise planning actions
  • Real-time production floor interfaces visually track operation performances on CNC machines displaying current job efficiencies through BI-style charting
  • Comprehensive web-based interfaces utilize user access controls for different level permissions within facility management applications

UI/UX

Key Features
for Your M2M Solution

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
  • SCADA/HMI engineers
  • IoT and Industry 4.0 solution architects
  • IT infrastructure managers
  • M2M professionals
  • Building and facility automation specialists
Customer success team
Community
Online training

Assistance