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Average Ratings 0 Ratings
Description
Phoenix serves as a comprehensive open-source observability toolkit tailored for experimentation, evaluation, and troubleshooting purposes. It empowers AI engineers and data scientists to swiftly visualize their datasets, assess performance metrics, identify problems, and export relevant data for enhancements. Developed by Arize AI, the creators of a leading AI observability platform, alongside a dedicated group of core contributors, Phoenix is compatible with OpenTelemetry and OpenInference instrumentation standards. The primary package is known as arize-phoenix, and several auxiliary packages cater to specialized applications. Furthermore, our semantic layer enhances LLM telemetry within OpenTelemetry, facilitating the automatic instrumentation of widely-used packages. This versatile library supports tracing for AI applications, allowing for both manual instrumentation and seamless integrations with tools like LlamaIndex, Langchain, and OpenAI. By employing LLM tracing, Phoenix meticulously logs the routes taken by requests as they navigate through various stages or components of an LLM application, thus providing a clearer understanding of system performance and potential bottlenecks. Ultimately, Phoenix aims to streamline the development process, enabling users to maximize the efficiency and reliability of their AI solutions.
Description
Phoenix CTMS is a comprehensive, web-based clinical research platform that integrates Patient Recruitment System (PRS), Clinical Trial Management System (CTMS), and Clinical Data Management System (CDMS) capabilities into a single modular solution. The platform is designed to address the full spectrum of operational and regulatory demands faced by academic researchers, CROs, and hospitals running clinical trials at any phase. Phoenix CTMS provides a secure, private registry for sensitive patient data, ensuring compliance with EU-GDPR and other data privacy regulations. It supports a highly flexible electronic data capture (EDC) system with unlimited JavaScript form scripting for both server and browser, making it ideal for managing complex and large electronic case report forms (eCRFs). Users can conduct parallel trials while efficiently organizing site staff and resources through an intuitive interface. Unlike many commercial EDC packages, Phoenix CTMS is an open source project under LGPL 2.1, developed in collaboration with clinical trial sites at the Medical University of Graz. It is designed as a turnkey system that is operational out-of-the-box, eliminating the need for integrating multiple disparate tools. The platform is particularly suitable for users seeking a secure, private, and customizable clinical trial management solution.
API Access
Has API
API Access
Has API
Integrations
Amazon Bedrock
CoLab
CrewAI
Databricks
Gemini Enterprise Agent Platform
Guardrails AI
LangChain
Le Chat
LlamaIndex
Mathstral
Integrations
Amazon Bedrock
CoLab
CrewAI
Databricks
Gemini Enterprise Agent Platform
Guardrails AI
LangChain
Le Chat
LlamaIndex
Mathstral
Pricing Details
Free
Free Trial
Free Version
Pricing Details
$1 one-time payment
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
Arize AI
Country
United States
Website
docs.arize.com/phoenix
Vendor Details
Company Name
Phoenix CTMS
Country
Austria
Website
www.phoenixctms.org
Product Features
Product 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