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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

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

With just one search, you can quickly locate any reagent in any freezer. Our powerful search engine features advanced filters, sorting, ranking, and ranking. All protocols can be created, shared, and archived from one platform. You and your team can create new experiments by using existing protocols at any moment. Are you running out of reagents? Send an order request to your lab managers and they will be notified immediately to purchase the reagents. You can use the message feature to communicate with other researchers to increase collaboration. Genemod wants you to save time, money, and effort by bringing together your teams' collective knowledge in a visual interface. Inventory management is done in one place, instead of multiple Excel sheets. To automate data entry, use bookmarks and activity logs. You will have a single trusted place for all your workflows. Every activity and sample archive is important.

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

$199 per month
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

BenchSci

Founded

2015

Country

Canada

Website

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

Vendor Details

Company Name

Genemod

Founded

2018

Country

United States

Website

genemod.net

Product Features

Scientific Data Management System (SDMS)

Analytics
Artificial Intelligence (AI)
Audit
Centralized Data Repository
Collaboration
Compliance
Data Security
ELN Integration
LIMS Integration
Workflows

Product Features

Lab Inventory Management

Barcode Scanning
Expiration Date Management
Purchasing
Reorder Management
Sample Management
Supply Management
Usage Tracking
Vendor Management

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

Scientific Data Management System (SDMS)

Analytics
Artificial Intelligence (AI)
Audit
Centralized Data Repository
Collaboration
Compliance
Data Security
ELN Integration
LIMS Integration
Workflows

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