Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Integrations
Logilab ELN
No
Qualis LIMS
No
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