Iotellect - 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

PLCs

Connectivity modules and units

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

Connected machines and equipment

Wearables and mobile devices

Smart city and facility infrastructure

Edge computing devices

(gateways, routers, industrial PCs, etc.)

Industrial PCs and Embedded Systems

Industrial robots and CNC machines

Connected sensors and sensor hubs

Smart meters and meter hubs

Cameras and access control devices

Fleet vehicles and asset trackers

Displays, kiosks, and touchscreens

Connect Devices

Connectivity & Management

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

Integration

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

Analytics

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

UI/UX

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

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

Machine-to-Machine Platform