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What is Mosaic?

Mosaic, developed by Cenevo, is an end-to-end sample management platform built specifically for the needs of modern life science laboratories. Designed to handle the full sample lifecycle—from registration and tracking to storage, retrieval, and audit—Mosaic provides a single, secure hub for managing biological and chemical assets. It supports a broad range of sample types, including compounds, critical reagents, DNA, proteins, antibodies, tissues, blood, and cell lines, ensuring standardization and quality control across every process. The system automates key workflows such as inventory tracking, labeling, and chain-of-custody documentation, eliminating the inefficiencies of spreadsheets and manual data entry. With comprehensive audit trails, Mosaic offers complete traceability and compliance, allowing labs to validate experiments and meet strict industry regulations. Its flexible modules and integrations connect seamlessly with major laboratory instruments, informatics platforms, and robotics systems—enhancing throughput and reducing human error. Mosaic also provides real-time analytics dashboards, giving scientists and lab managers insight into sample usage, stock levels, and process efficiency. Mobile access extends its functionality to remote teams and field operations. With over 150 installations across five continents and billions of samples managed, Mosaic is a trusted backbone for R&D and regulated lab environments worldwide. Combining precision, scalability, and automation, Mosaic empowers life science organizations to accelerate discovery while maintaining data integrity and operational excellence.

What is BenchSci?

Optimize the entire selection process for reagents and model systems to eliminate inefficiencies and reduce errors that can result in costly experimental setbacks. By condensing the decision-making timeframe from the usual 12 weeks to a mere 30 seconds, project timelines can be significantly shortened. This strategy not only minimizes direct expenses associated with consumables but also has the capacity to generate substantial annual savings. In addition, it supports the organizational mission by allowing scientists to reclaim precious research time. Experience concrete business benefits from AI through a solution that is both proven and ready for implementation. Over 41,200 scientists, representing 15 of the top 20 pharmaceutical companies and more than 4,450 academic institutions, rely on BenchSci’s AI-Assisted Antibody Selection to design more effective experiments while achieving significant reductions in hard costs. It’s crucial to recognize that antibodies account for only 40-50% of the reagent-related failures. Gain access to a wealth of experimental evidence, an extensive catalog of reagents and model systems, and independent validations, all within a single intuitive interface. Leverage real-world experimental data sourced from 11.2 million scientific publications, including those often not publicly available, for a comprehensive approach to research. This cutting-edge methodology equips researchers with the tools necessary to make swift and informed decisions, ultimately transforming the landscape of scientific experimentation. By streamlining processes and enhancing data accessibility, the opportunity for breakthroughs in research becomes significantly more attainable.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Cenevo

Date Founded

2007

Company Location

United Kingdom

Company Website

www.titian.co.uk

Company Facts

Organization Name

BenchSci

Date Founded

2015

Company Location

Canada

Company Website

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

Categories and Features

Lab Inventory Management

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

Categories and Features

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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