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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

From the viewpoint of managing cell production, organizations aim to oversee every aspect of the production process, including the collection of samples, procurement of raw and auxiliary materials, utilization of instruments and equipment, staffing, environmental conditions, and procedural elements, to optimize resource efficiency. This approach ensures that resources are neither in excess nor deficient, while also upholding the quality of production. Beyond addressing these management challenges, bio cellmes offers a comprehensive system for tracking products and managing the entire production workflow, which encompasses everything from initial job preparations and the production stages to final clearance processes. Additionally, the quality control aspect involves thorough inspections of both product and reagent quality, while quality assurance entails monitoring environmental factors, managing deviations, and conducting audits for the release of finished products, ensuring a robust and reliable production framework. Ultimately, this integrated system not only enhances operational efficiency but also contributes significantly to maintaining high standards in production quality.

API Access

Has API

API Access

Has API

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Screenshots View All

Integrations

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Integrations

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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

BenchSci

Founded

2015

Country

Canada

Website

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

Vendor Details

Company Name

Bio LIMS

Founded

2016

Website

www.biolims.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

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