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What is Scilligence SDMS?

Scilligence's Scientific Data Management System (SDMS) provides a cohesive platform for data storage that connects seamlessly with a variety of instruments and devices, allowing researchers to swiftly and securely gather vital information. The system's automation capabilities streamline the process of data collection from scientific tools, facilitating the extraction of metadata into a relational database, which significantly boosts data management efficiency and reduces costs. Our platform is designed to maintain strict version control, comprehensive audit trails, and a thorough history of document alterations, ensuring compliance with current regulatory requirements. Moreover, SDMS integrates smoothly not only with Scilligence applications but also with laboratory instruments for automated data handling. It also accommodates various database systems and storage solutions, enhancing its versatility. To protect your intellectual property effectively, we implement robust access management at multiple levels including site, account, and project, ensuring that confidential information is secured while promoting collaborative research. This thorough approach to data management ultimately allows scientists to dedicate more time to their research endeavors, relying on a dependable and effective data infrastructure. Additionally, the platform's user-friendly interface further simplifies the data management process, making it accessible to users with varying levels of technical expertise.

What is L7|ESP?

The L7 Enterprise Science Platform (L7|ESP®) offers a holistic solution aimed at contextualizing data and eliminating business silos through effective process orchestration. This integrated platform facilitates the digital transformation of data and scientific workflows in life sciences organizations. It comprises essential applications such as L7 LIMS, L7 Notebooks, L7 MES, and L7 Scheduling. With the ability to integrate effortlessly with third-party applications, lab instruments, and various devices, L7|ESP consolidates all data into a single cohesive model. Its low-code/no-code workflow designer, along with a variety of pre-built connectors, allows for swift deployment and comprehensive automation. By leveraging a unified data model, L7|ESP advances bioinformatics, artificial intelligence, and machine learning, thereby delivering valuable scientific and operational insights. This robust platform is specifically designed to meet the data and laboratory management challenges faced by the life sciences industry, focusing on areas such as: ● Research and Diagnostics ● Pharma and CDMO ● Clinical Sample Management For further resources, including on-demand recordings, case studies, and datasheets, visit the L7 Resource Center at l7informatics dot com/resource-center, where you can find a wealth of information to help you maximize the benefits of the platform.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Please contact us at info at L7informatics dot com
or fill out a contact form on our website at L7 Informatics dot com

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard 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

Scilligence

Date Founded

2010

Company Location

United States

Company Website

scilligence.com/scilligence-sdms/

Company Facts

Organization Name

L7 Informatics

Date Founded

2012

Company Location

United States

Company Website

l7informatics.com/esp/

Categories and Features

Categories and Features

AI Science

Not specified

Bioinformatics

Not specified

ELN

Not specified

Lab Automation

Not specified

Life Sciences

Not specified

LIMS

Not specified

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