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Average Ratings 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

No User Reviews. Be the first to provide a review:

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Description

Streamline the entire selection process for reagents and model systems to eliminate costly inefficiencies and errors that lead to experimental failures. Accelerate project timelines by facilitating the selection of reagents and model systems in a mere 30 seconds, compared to the traditional 12-week duration. This transformation can significantly cut the hard costs associated with consumables, saving organizations millions annually. By restoring valuable research time to scientists, you can enhance the organization’s mission. Experience tangible business benefits from AI through a proven, ready-to-use application. More than 41,200 scientists across 15 of the leading 20 pharmaceutical companies, as well as over 4,450 academic institutions, leverage BenchSci’s AI-Assisted Antibody Selection to design more effective experiments, resulting in documented savings of millions per year in hard costs alone. However, it's important to note that antibodies account for only 40-50% of reagent-related failures. Access a comprehensive array of experimental evidence, along with catalog data for reagents and model systems, all within one user-friendly interface. This platform integrates real-world experiment data sourced from 11.2 million scientific publications, including those published in closed-access journals, providing an unparalleled resource for researchers. With this level of detailed information, scientists can make informed decisions that significantly enhance their research outcomes.

Description

Researchers require effective tools for the capture, management, and sharing of their research data. Additionally, these tools must be compatible with various data storage platforms and applications, including enterprise chat systems and specialized tools such as protocols.io, along with data repositories. RSpace, recognized as the Connected electronic notebook, stands out as the sole electronic lab notebook (ELN) tailored to integrate effortlessly into the research data framework of contemporary research-intensive universities. For early-stage biotech companies, there is a pressing need to advance swiftly toward their next milestone while also systematically capturing and organizing their research data. This organization is essential not only for establishing a solid foundation for long-term intellectual property protection but also for presenting results effectively to collaborators and potential investors. By connecting with various research tools and other elements of the research ecosystem, RSpace ensures that researchers' data is not only captured but also adeptly managed, ultimately making it accessible for public viewing, querying, and reuse by others in the scientific community. This holistic approach fosters a collaborative environment, enabling greater innovation and shared knowledge across the research landscape.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Box No 
Calira No 
Dropbox No 
Egnyte No 
GitHub No 
Mendeley No 
Microsoft OneDrive No 
Microsoft Teams No 
Slack No 
ownCloud No 

Integrations

Box Yes 
Calira Yes 
Dropbox Yes 
Egnyte Yes 
GitHub Yes 
Mendeley Yes 
Microsoft OneDrive Yes 
Microsoft Teams Yes 
Slack Yes 
ownCloud Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$120 per user per year
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

BenchSci

Founded

2015

Country

Canada

Website

www.benchsci.com

Vendor Details

Company Name

RSpace

Country

United States

Website

www.researchspace.com/enterprise/

Product Features

Scientific Data Management System (SDMS)

Analytics No 
Artificial Intelligence (AI) No 
Audit No 
Centralized Data Repository No 
Collaboration No 
Compliance No 
Data Security No 
ELN Integration No 
LIMS Integration No 
Workflows No 

Product Features

ELN

LIMS

Audit Trail No 
Certificates of Analysis No 
Data Import / Export No 
Electronic Laboratory Notebook No 
Inventory Management No 
Lab Instrument Interface No 
Reporting & Statistics No 
Sample Tracking No 
Specification Management No 
Workflow Management No 

Scientific Data Management System (SDMS)

Analytics No 
Artificial Intelligence (AI) No 
Audit No 
Centralized Data Repository No 
Collaboration No 
Compliance No 
Data Security No 
ELN Integration No 
LIMS Integration No 
Workflows No 

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