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What is ExoMatter?

ExoMatter is transforming the historically laborious and costly journey of materials research and development by leveraging cutting-edge AI technologies alongside robust data-mining capabilities. The platform presents a customized assortment of the most suitable materials tailored to your unique requirements. By amalgamating data sourced from a variety of scientific repositories and your own datasets, ExoMatter refines this information through the application of AI, allowing for the assessment of a wide range of multidimensional physical, chemical, and engineering factors, in addition to sustainability considerations and anticipated costs. Our dedication to utilizing scientific materials data is aimed at pinpointing superior and more environmentally friendly materials. With our state-of-the-art materials research platform, you can efficiently sift through millions of materials, employing AI-driven tools that not only enhance the data but also grant you substantial control over your selection parameters. Take advantage of ExoMatter’s distinctive scoring and ranking system to create a curated list of materials that perfectly align with your application, ensuring that your decisions in materials selection are both informed and efficient. This innovative approach not only quickens your research processes but also significantly boosts the overall quality and sustainability of your material decisions, ultimately contributing to a greener future. In doing so, ExoMatter empowers researchers and developers alike to discover new possibilities in material science.

What is CrowdChem?

The CrowdChem Data Platform acts as a cutting-edge knowledge center specifically designed for the chemistry industry, harnessing data collected through independent methods. This platform enables users to effectively select raw materials and pinpoint potential customers through its sophisticated data analysis and text mining features. For example, it aids in investigating innovative combinations of raw materials, improves the accuracy of research on chemical product applications, and compiles lists of potential clients for various businesses. Users gain access to a comprehensive information database drawn from patents, research articles, catalogs, and news sources, thus simplifying data retrieval processes. By employing machine learning and natural language processing techniques, the platform facilitates smooth raw material selection and customer identification, in addition to providing support for competitive analysis and other features. Furthermore, the incorporation of these advanced technologies not only boosts efficiency but also significantly enhances decision-making within the chemistry field. Overall, the CrowdChem Data Platform represents a major advancement in the way chemistry professionals access and utilize vital information.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

ExoMatter

Date Founded

2022

Company Location

Germany

Company Website

www.exomatter.ai/

Company Facts

Organization Name

CrowdChem

Date Founded

2023

Company Location

United States

Company Website

crowdchem.net/en/product-2/

Categories and Features

Data Mining

Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining

Categories and Features

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