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Average Ratings 0 Ratings

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features
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support

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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

Logilab SDMS is an established and reliable Scientific Data Management System that can capture data from any type, make, or manufacturer of analytical instrument, making it a versatile tool for scientific research and experimentation. This system allows for the capture and archiving of both instrument data and metadata to a secure and dedicated server, which serves as a single point of truth for all scientific data. Logilab SDMS has been primarily designed to capture, catalog, and archive instrument raw data and files, along with their associated metadata. The tagging system enables data to be indexed into catalogues and archived for long-term purposes, ensuring that scientific data is readily available whenever it is needed. Furthermore, with Logilab SDMS, laboratories can confidently face audits knowing that their scientific data is organized, archived, and readily available for review.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Logilab ELN No 
Qualis LIMS No 

Integrations

Logilab ELN Yes 
Qualis LIMS Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version 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 

Deployment

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

Customer Support

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

Customer Support

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

BenchSci

Founded

2015

Country

Canada

Website

www.benchsci.com/platform/ai-assisted-reagent-selection

Vendor Details

Company Name

Agaram Technologies

Founded

1998

Country

Chennai, India

Website

www.agaramtech.com

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

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 

Alternatives

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