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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Enhance your scientific research and equip your R&D team with unified data in the cloud. The Tetra R&D Data Cloud merges the only cloud-native data platform specifically designed for global pharmaceutical enterprises with the expansive and rapidly growing network of Life Sciences integrations and extensive industry expertise, providing a robust solution for leveraging your most critical asset: R&D data. This platform encompasses the entire life-cycle of your R&D data, facilitating processes from acquisition to harmonization, engineering, and subsequent analysis while offering native compatibility with cutting-edge data science tools. It supports a vendor-agnostic approach with pre-existing integrations that allow seamless connectivity to instruments, analytics and informatics applications, as well as ELN/LIMS and CRO/CDMOs. By consolidating data acquisition, management, harmonization, integration/engineering, and data science enablement into one comprehensive platform, it simplifies the complexities of R&D operations. This holistic approach not only streamlines workflows but also unlocks new possibilities for innovation and discovery.

Description

Tailored specifically for the life sciences sector, eCADinfo is an engineering data management system that adheres to 21 CFR Part 11 regulations, aimed at enhancing compliance, productivity, and efficiency while simultaneously lowering costs in environments governed by the FDA. This system is capable of storing engineering data across diverse formats, which encompass engineering drawings, equipment or system specification databases, links to supplier websites, spreadsheets with device parameter details, as well as procedures, manuals, and shop sketches. eCADinfo enables users to organize this information into a structured hierarchy that aligns seamlessly with their existing business workflows. With its intuitive graphical user interface, users can quickly access a wealth of information, facilitating easier system maintenance and control. Key features of the engineering data management system include version control, collaboration tools, change management capabilities, standardization processes, and a compliant Excel spreadsheet environment that meets 21 CFR Part 11 standards. By streamlining data organization and management, eCADinfo ultimately supports the operational goals of businesses within regulated industries.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

BIOVIA
Egnyte
Tableau

Integrations

BIOVIA
Egnyte
Tableau

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

TetraScience

Founded

2014

Country

United States

Website

www.tetrascience.com

Vendor Details

Company Name

CIMINFO Software

Founded

2017

Country

United States

Website

part11solutions.com/ecadinfo/

Product Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

Product Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

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