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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Envision a partner in commercial services that seamlessly integrates with your team, which is precisely the vision behind EVERSANA. We prioritize your business objectives and offer a ready-made infrastructure designed to safeguard your investments. Our focus is on metrics and accountability, utilizing integrated and actionable data to drive performance. Our comprehensive range of services is tailored to meet diverse needs, regardless of size. EVERSANA stands out as the singular service provider capable of collaborating with life sciences innovators in any capacity. You can harness our extensive portfolio of services throughout every phase of the product life cycle, from pre-commercialization to addressing impending loss of exclusivity. By integrating our offerings, you can create customized, purpose-driven solutions to tackle challenges like market access, distribution efficiency, patient adherence, and beyond. As a catalyst in the life sciences services sector, EVERSANA eliminates the necessity of relying on various vendors or service providers. Instead, we have developed a commercial services platform designed to operate in harmony with your own processes. This ensures a streamlined approach that enhances efficiency and effectiveness across your operations.

Description

The L7 Enterprise Science Platform (L7|ESP®) is a comprehensive platform designed to contextualize data and remove business silos through process orchestration. This all-in-one solution supports the digitalization of data and scientific processes within life sciences organizations. It includes native applications like L7 LIMS, L7 Notebooks, L7 MES, and L7 Scheduling. L7|ESP seamlessly integrates with third-party applications, lab instruments, and devices to consolidate all data into a unified model. Featuring a low-code/no-code workflow designer and numerous pre-built connectors, it ensures rapid implementation and full automation. Utilizing a single data model, L7|ESP enhances advanced bioinformatics, AI, and ML to provide new scientific and operational insights. L7|ESP addresses the data and lab management needs and challenges within the life sciences sector, specifically targeting: ● Research and Diagnostics ● Pharma and CDMO ● Clinical Sample Management Explore the L7 Resource Center for on-demand recordings, case studies, datasheets, and more: l7informatics dot com/resource-center

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

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

EVERSANA

Country

United States

Website

www.eversana.com/solutions/

Vendor Details

Company Name

L7 Informatics

Founded

2012

Country

United States

Website

l7informatics.com/esp/

Product Features

Product Features

ELN

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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Alternatives

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