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Description
Scitara DLX™ provides a swift connectivity framework suitable for any instrument found within life science laboratories, all while operating on a cloud-based platform that is both compliant and auditable. As a versatile digital data infrastructure, Scitara DLX™ facilitates connections between various instruments, resources, applications, and software utilized in the lab. The comprehensive cloud system ensures that all data sources are interconnected, promoting seamless data movement across numerous endpoints. Consequently, researchers can concentrate on their scientific endeavors instead of being bogged down by data-related challenges. Moreover, DLX intelligently curates and corrects data as it is processed, fostering the creation of accurate and well-organized data models that are essential for enhancing AI and ML systems. This robust approach plays a vital role in advancing digital transformation strategies within the pharmaceutical and biopharmaceutical sectors. By unlocking valuable insights from scientific data, the platform accelerates decision-making processes in drug discovery and development, ultimately aiding in the expedited launch of new medications into the market. Additionally, the integration of such a sophisticated infrastructure not only streamlines workflows but also enhances collaboration among researchers, paving the way for innovative solutions in the life sciences field.
Description
The purpose of the IA software is to seamlessly gather measurement results straight from the designated testing instrument, present that information to the technician, provide a variety of editing, analysis, and auditing tools, and then transmit the results to the production area or alternative laboratories. Each IA is equipped with a single driver program designed to extract data from any testing device that has an electronic output. Over the past three decades, AcquiData has compiled a comprehensive library of software driver programs suitable for nearly every materials testing instrument currently in operation. Operating within a browser environment, multiple IA programs can function simultaneously on a single PC, allowing different technicians to test various samples at the same time. At the core of the Testream®/CS system lies the Lab Server program, which manages the flow of information into and out of each laboratory within the network. This ensures that all data is processed efficiently and accurately, streamlining the entire testing workflow.
API Access
Has API
API Access
Has API
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
Scitara
Founded
2019
Country
United States
Website
scitara.com
Vendor Details
Company Name
AcquiData
Website
acquidata.com/our-software-products/introduction-to-testreamcs/
Product Features
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
Product Features
Quality Management
Audit Management
Complaint Management
Compliance Management
Corrective and Preventive Actions (CAPA)
Defect Tracking
Document Control
Equipment Management
ISO Standards Management
Maintenance Management
Risk Management
Supplier Quality Control
Training Management
Scientific Data Management System (SDMS)
Analytics
Artificial Intelligence (AI)
Audit
Centralized Data Repository
Collaboration
Compliance
Data Security
ELN Integration
LIMS Integration
Workflows