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What is Signals Notebook?

Signals Notebook features a modern user interface that resembles those of popular personal applications, which significantly reduces the need for extensive training, allowing users to embark on their tasks swiftly. This user-friendliness is a major reason it has emerged as the favored electronic lab notebook among a diverse range of organizations, from small research teams of 4-5 scientists to some of the largest biotech and pharmaceutical firms worldwide. Its versatility and ability to support various workflows—including chemistry, biology, formulations, analytical sciences, and materials sciences—underscore its importance both now and in the future. With over 1 million scientists from 4,000 organizations utilizing Signals Notebook to improve their workflow efficiency, it is clear that the platform holds a strong reputation within the scientific community. Furthermore, its features for structured data capture, along with APIs and integration interfaces for instruments, internal systems, and databases, significantly boost its practical applications. The seamless blend of user-friendliness and sophisticated capabilities distinguishes Signals Notebook in an increasingly competitive market landscape. As more organizations recognize its potential, the platform is likely to see continued growth and innovation in its offerings.

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

Arxspan
Signals Research Suite

Integrations Supported

Arxspan
Signals Research Suite

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

Revvity Signals

Date Founded

1937

Company Location

United States

Company Website

revvitysignals.com/products/research/signals-notebook-eln

Company Facts

Organization Name

ExoMatter

Date Founded

2022

Company Location

Germany

Company Website

www.exomatter.ai/

Categories and Features

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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