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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

BIOVIA ONE Lab serves as a robust laboratory informatics platform aimed at optimizing workflows, fostering collaboration, and expediting research efforts in diverse scientific fields. This solution offers a cohesive environment for the management of laboratory data and processes, allowing researchers to make informed decisions more swiftly. It is utilized by organizations in various sectors such as Life Sciences, Consumer Packaged Goods, and Energy & Materials, among others. ONE Lab is adaptable for use in Research, Development, and Quality Assurance/Quality Control, catering to the unique requirements of scientists within each discipline. It effectively oversees samples, experiments, data, inventory, and equipment, as well as workflows, by integrating seamlessly with a variety of laboratory instruments and software. By utilizing a singular data model across all functional areas, ONE Lab eliminates artificial barriers that typically exist between Electronic Lab Notebooks (ELN), Laboratory Information Management Systems (LIMS), Laboratory Execution Systems (LES), and inventory management. This cohesive integration promotes efficiency and enhances the overall productivity of laboratory operations. Ultimately, BIOVIA ONE Lab empowers scientists to focus on innovation and discovery without the hindrances of fragmented systems.

Description

ExoMatter is revolutionizing the traditionally tedious and expensive process of materials research and development by harnessing advanced AI technologies and data-mining capabilities. The platform offers a tailored selection of the most appropriate materials for your specific needs. By integrating data from various scientific repositories and your own datasets, ExoMatter enhances this information through AI, enabling you to evaluate a diverse array of multidimensional physical, chemical, and engineering factors, alongside sustainability concerns and projected costs. Our commitment to using scientific materials data aims to identify superior and more eco-friendly materials. With our innovative materials research platform, you can swiftly navigate through millions of materials, using AI-driven tools that not only enrich the data but also provide you with comprehensive control over your selection criteria. Leverage ExoMatter’s unique scoring and ranking system to compile a refined list of materials that best suit your application, ensuring that you make informed and efficient choices in your materials selection process. This approach not only streamlines your research efforts but also significantly enhances the overall quality and sustainability of your material choices.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Dassault Systèmes

Founded

1981

Country

France

Website

www.3ds.com/products/biovia/one-lab

Vendor Details

Company Name

ExoMatter

Founded

2022

Country

Germany

Website

www.exomatter.ai/

Product Features

ELN

LIMS

Audit Trail
Certificates of Analysis
Data Import / Export
Electronic Laboratory Notebook
Inventory Management
Lab Instrument Interface
Reporting & Statistics
Sample Tracking
Specification Management
Workflow Management

Product 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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