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What is quattro/CM?

Quattro Research GmbH features a varied team of professionals, such as scientists and IT specialists. Our goal is to develop innovative products and solutions specifically designed for clients in industries like life sciences, pharmaceuticals, and chemicals. We focus on the integration and separation of databases and intellectual property during mergers and spin-offs, ensuring a seamless transition for our clients. Furthermore, we offer the implementation of biological and chemical registration systems that can handle complex proteins while complying with the HELM notation standards. Researchers working with antibodies, antibody-drug conjugates, large peptides, RNA molecules, and other biomolecules have specific software needs that demand attention. To meet these requirements, Quattro Research delivers sophisticated tools for the registration and management of biomolecules, leveraging the open HELM Notation and Editor. Our dedication to innovation not only addresses current needs but also anticipates future challenges in the industry, reinforcing our position as a leader in this field.

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.

Media

Media

Integrations Supported

Base.com

Integrations Supported

Base.com

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

quattro research

Company Location

Germany

Company Website

www.quattro-research.com

Company Facts

Organization Name

ExoMatter

Date Founded

2022

Company Location

Germany

Company Website

www.exomatter.ai/

Categories and Features

Medical Lab

Audit Trail
Data Analysis Auditing
Data Security
EMR Interface
Fax Management
Lab Instrument Interface
Multi-Location Printing
Online Instrumentation
Physician Test Panels
Procedure-Based Billing
Sample Tracking

Categories and Features

Data Mining

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

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