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What is TomorrowThings?

Our cutting-edge automation software-as-a-service platform allows for the rapid development of digital versions of your industrial assets with just a simple click, leading to a remarkable reduction in integration costs of up to 90%. Utilizing AI-powered features, users can easily create a digital twin of their technical resources. This innovative technology provides a real-time visualization of physical components, processes, and entire manufacturing facilities. By running simulations, users can evaluate different scenarios prior to implementing them in reality. This strategy not only improves production line efficiency but also anticipates potential issues and fosters data-driven decision-making. By gathering and analyzing information from equipment and sensors, operators obtain vital insights that facilitate operational enhancements. The blueprint system allows for a seamless connection between machines at the touch of a button, streamlining data collection and transmission, thereby bolstering decision-making, improving operational performance, and advancing sustainability initiatives. In addition, this blueprint technology promotes plug-and-produce capabilities and nurtures collaboration between machinery manufacturers and industrial software solution developers, ultimately spurring innovation throughout the industry. With our platform, companies are empowered to not only optimize their operations but also swiftly respond to evolving market conditions, ensuring they remain competitive. This adaptability is crucial in a landscape that is constantly changing and increasingly demanding.

What is Predix Platform?

The Predix Platform is integral to industrial operations, providing a scalable and asset-centric data infrastructure that serves as a secure application environment for deploying, scaling, and improving digital industrial solutions. It offers crucial shared functionalities essential for industrial applications, such as asset connectivity, edge technology, analytics, machine learning, and big data processing, along with the ability to create asset-focused digital twins. Designed as a distributed application platform, the Predix Platform is expertly optimized to handle and analyze large data volumes with minimal latency, facilitating seamless integration. Moreover, Predix Essentials acts as a comprehensive tool specifically designed for industrial monitoring and event management. This solution leverages the capabilities of the Predix Platform by integrating asset connectivity and edge-to-cloud data processing, paired with a powerful user console that is ready for immediate use—thus negating the necessity for any development work. As a result, organizations utilizing Predix Essentials can swiftly attain improved operational efficiency and deeper insights into their processes, ultimately driving better decision-making and productivity. Furthermore, the platform's ability to adapt to various industrial needs makes it a versatile choice for companies aiming to innovate and optimize their operations.

Media

Media

Integrations Supported

Integrations Supported

Predix APM
Predix Essentials

API Availability

API Availability

Has API

Pricing Information

€15 per month
Free Trial Offered?

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

TomorrowThings

Date Founded

2023

Company Location

Germany

Company Website

tomorrowthings.com

Company Facts

Organization Name

GE Digital

Date Founded

2011

Company Location

United States

Company Website

www.ge.com/digital/iiot-platform

Categories and Features

Digital Twin

Not specified

Categories and Features

Digital Twin

Not specified

Industrial IoT

Not specified

IoT Analytics

Not specified

IoT Device Management

Not specified

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