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What is Sapio Jarvis?

A groundbreaking data integration solution created for the needs of today's scientific research community. To advance toward a future fueled by data-driven discoveries, it is essential to discard outdated data practices and legacy systems that no longer meet our requirements. With the continuous influx of diverse research data, managing and analyzing this information through isolated approaches is becoming less feasible. Regrettably, many organizations still experience fragmentation, with data dispersed across various systems. Even when organizations do manage to consolidate their data, it often occurs via a separate System for Data Management and Storage (SDMS) or business intelligence platforms that fail to recognize the interconnected and holistic nature of authentic scientific analysis. Our innovative, science-awareâ„¢ data integration platform, Jarvis, is specifically designed for the complexities of contemporary scientific work, effectively bringing together and optimizing your entire scientific intelligence, which includes both instrument and application data, to maximize its value. This integrated insight is readily available to scientists through a dynamic knowledge graph that provides robust search functionalities, facilitating efficient data retrieval and fostering improved collaboration. Consequently, researchers can operate more effectively, accelerate their innovations, and contribute significantly to their respective fields, ultimately enhancing the overall impact of scientific inquiry.

What is Cloudbyz Safety and Pharmacovigilance (PV)?

The Cloudbyz Safety & Pharmacovigilance Solution is a cloud-based platform tailored to enhance drug safety and pharmacovigilance for companies in the pharmaceutical and life sciences sectors. This innovative solution automates the entire workflow of data collection, processing, analysis, and reporting in adherence to global regulatory standards. Cloudbyz offers comprehensive management of the pharmacovigilance lifecycle, encompassing adverse event processing, case management, regulatory reporting, signal detection, and risk management. By utilizing Cloudbyz, organizations can streamline their pharmacovigilance operations, expedite case processing, and boost the precision of their safety data, all while mitigating risks and ensuring compliance with regulations. Additionally, the advantages of our solution include: 1. Enhanced efficiency through automation 2. Improved accuracy of data 3. Immediate visibility into processes 4. Better collaboration among teams 5. Strengthened adherence to regulatory requirements Furthermore, adopting this solution empowers organizations to focus on innovation and patient safety, ultimately leading to improved outcomes in drug monitoring.

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Integrations Supported

Cloudbyz CTMS
Cloudbyz EDC
Cloudbyz eTMF

Integrations Supported

Cloudbyz CTMS
Cloudbyz EDC
Cloudbyz eTMF

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

Sapio Sciences

Date Founded

2011

Company Location

United States

Company Website

www.sapiosciences.com

Company Facts

Organization Name

Cloudbyz

Date Founded

2014

Company Location

United States

Company Website

www.cloudbyz.com

Categories and Features

Categories and Features

Clinical Trial Management

21 CFR Part 11 Compliance
Document Management
Electronic Data Capture
Enrollment Management
HIPAA Compliant
Monitoring
Patient Database
Recruiting Management
Scheduling
Study Planning

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