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What is Phoenix PK/PD Platform?

Achieve effortless collaboration and knowledge dissemination throughout your organization with a robust platform that unifies all necessary tools, facilitating secure workflows and enabling the integration of Phoenix applications with various third-party software. Over 6,000 researchers utilize Phoenix WinNonlin for non-compartmental analysis (NCA), toxicokinetic modeling, and pharmacokinetic and pharmacodynamic (PK/PD) modeling, making it the tool of choice for biopharmaceutical firms, academic institutions, and 11 global regulatory agencies, including the US FDA, EMA, and PMDA. Furthermore, the Phoenix Platform is equipped with sophisticated features such as population PK/PD (popPK) modeling via Phoenix NLME and Level A correlation capabilities offered by the Phoenix IVIVC Toolkit. Its Validation Suites allow for expedited software validation in under thirty minutes, promoting both efficiency and adherence to regulatory standards. This comprehensive suite not only boosts research output but also encourages innovation by empowering users to optimize their workflows effectively, thus transforming the landscape of research collaboration within the industry.

What is Arize Phoenix?

Phoenix is an open-source library designed to improve observability for experimentation, evaluation, and troubleshooting. It enables AI engineers and data scientists to quickly visualize information, evaluate performance, pinpoint problems, and export data for further development. Created by Arize AI, the team behind a prominent AI observability platform, along with a committed group of core contributors, Phoenix integrates effortlessly with OpenTelemetry and OpenInference instrumentation. The main package for Phoenix is called arize-phoenix, which includes a variety of helper packages customized for different requirements. Our semantic layer is crafted to incorporate LLM telemetry within OpenTelemetry, enabling the automatic instrumentation of commonly used packages. This versatile library facilitates tracing for AI applications, providing options for both manual instrumentation and seamless integration with platforms like LlamaIndex, Langchain, and OpenAI. LLM tracing offers a detailed overview of the pathways traversed by requests as they move through the various stages or components of an LLM application, ensuring thorough observability. This functionality is vital for refining AI workflows, boosting efficiency, and ultimately elevating overall system performance while empowering teams to make data-driven decisions.

Media

Media

Integrations Supported

APIFuzzer
Amazon Bedrock
Arize AI
Conda
CrewAI
Databricks
Gemini Enterprise Agent Platform
GitHub
Guardrails AI
JavaScript
Le Chat
Mathstral
Ministral 3B
Ministral 8B
Mistral 7B
Mistral AI
Mistral NeMo
OpenAI
Python
Slack

Integrations Supported

APIFuzzer
Amazon Bedrock
Arize AI
Conda
CrewAI
Databricks
Gemini Enterprise Agent Platform
GitHub
Guardrails AI
JavaScript
Le Chat
Mathstral
Ministral 3B
Ministral 8B
Mistral 7B
Mistral AI
Mistral NeMo
OpenAI
Python
Slack

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
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

Certara

Date Founded

2008

Company Location

United States

Company Website

www.certara.com/software/phoenix-pkpd/

Company Facts

Organization Name

Arize AI

Company Location

United States

Company Website

docs.arize.com/phoenix

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