What is Ideal Cloud IoT?

Ideal Cloud IoT is a project initiated by Ideal Control Spa, catering to the increasing demand from industrial automation integrators for an effortless link to an industrial IoT monitoring platform that simplifies server-side programming challenges. This innovative platform allows integrators to develop their own web applications for industrial monitoring and alarm systems, ensuring real-time access to their projects and essential parameters via standard MQTT communication protocols. Moreover, it supports the visualization of trends and the analysis of historical data, with all records securely stored in robust databases. Beyond just connecting equipment to the cloud using MQTT, Ideal Cloud IoT also enables the storage of important variable records, continuous monitoring of these variables, and the possibility of automated email notifications triggered by alarms. Users can manage client information effectively by adding, removing, modifying, or updating details conveniently, while benefiting from seamless and swift integration with a wide range of equipment. This comprehensive suite of features positions Ideal Cloud IoT as a pivotal solution tailored to meet the demands of contemporary industrial environments, ultimately enhancing operational efficiency and reliability.

Pricing

Free Version:
Free Version available.
Free Trial Offered?:
Yes

Integrations

No integrations listed.

Screenshots and Video

Ideal Cloud IoT Screenshot 1

Company Facts

Company Name:
Ideal Control
Company Location:
Chile
Company Website:
idealcloudiot.idealcontrol.cl

Product Details

Deployment
SaaS
Support
Standard Support

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English
Spanish

Ideal Cloud IoT Categories and Features

IoT Software

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization