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What is SuperPro Designer?

SuperPro Designer provides an all-encompassing platform for the modeling, evaluation, and refinement of both integrated batch and continuous processes across a variety of sectors, including biotechnology, pharmaceuticals, specialty chemicals, food processing, consumer goods, metallurgy, materials, and the treatment of water and air. By integrating manufacturing and environmental operation models, it empowers users to enhance production processes while simultaneously addressing pollution prevention and control measures. The software boasts over 140 unit operations and procedures, such as well-mixed reactors, fermentors, plug flow reactors, crystallizers, distillation columns, and an array of separation and purification systems. Additionally, SuperPro Designer features in-depth modules for managing reactions and vapor-liquid equilibrium separations, along with extensive material and energy balance capabilities, rich databases for chemical components and mixtures, equipment sizing, costing, and thorough analysis of process economics, enabling users to optimize their operations effectively. This versatile tool not only facilitates technical design but also plays a crucial role in promoting sustainability initiatives within various industries, highlighting its importance in today’s environmentally-conscious market. Overall, SuperPro Designer stands out as a vital resource for professionals aiming to improve efficiency and environmental stewardship in their manufacturing processes.

What is Materials Zone?

Transforming materials data into exceptional products at an increased speed significantly boosts research and development, simplifies scaling operations, and improves quality control along with supply chain decisions. This method facilitates the identification of groundbreaking materials while employing machine learning to anticipate outcomes, thereby resulting in quicker and more efficient results. As the journey toward production continues, it becomes possible to create a model that tests the limits of your products, which aids in designing cost-effective and durable production lines. Moreover, these models have the capability to predict potential failures by examining the provided materials informatics in conjunction with production line metrics. The Materials Zone platform aggregates information from diverse independent sources, such as materials suppliers and manufacturing plants, ensuring that communication remains secure and efficient. By harnessing machine learning algorithms on your experimental findings, you can discover new materials with specific properties, formulate ‘recipes’ for their creation, develop tools for automated analysis of unique measurements, and extract valuable insights. This comprehensive strategy not only boosts the efficiency of research and development but also encourages collaboration throughout the materials ecosystem, ultimately propelling innovation to new heights. Additionally, by fostering a culture of continuous improvement, organizations can remain agile and responsive to market demands.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Has API

Pricing Information

$9,995 per year
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

Windows

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Intelligen

Date Founded

1991

Company Location

United States

Company Website

www.intelligen.com/products/superpro-overview/

Company Facts

Organization Name

Materials Zone

Company Location

Israel

Company Website

www.materials.zone/

Categories and Features

Simulation

Not specified

Categories and Features

Artificial Intelligence

Machine Learning
Predictive Analytics
Process/Workflow Automation

Chemical

Not specified

Data Management

Data Capture

LIMS

Workflow Management

Machine Learning

Predictive Modeling

Materials Science

Not specified

Product Lifecycle Management

Document Management

Simulation

Industry Specific Database

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