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What is Phoenix Systems?

Established in 1981, Phoenix Systems has emerged as a key player in the fintech software development landscape, recognized for its reliable, flexible, and budget-friendly software solutions aimed at the global financial services sector. Our extensive range of software includes services for mutual fund transfer agent and shareholder recordkeeping, mutual fund sub-accounting, trading, and settlement and reconciliation. Leveraging our deep expertise in fintech, we develop transformative solutions that address the unique needs of each client. All our offerings are modular and based on a rules-driven framework, allowing for swift modifications to adapt to evolving client demands. With a distinguished portfolio that includes elite global financial institutions, Phoenix Systems has built a strong reputation for successfully delivering complex software tailored to the financial services industry, prioritizing client satisfaction and continuous innovation in every endeavor. Furthermore, our commitment to ongoing development ensures that our solutions not only meet current needs but also anticipate future trends and challenges within the sector.

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.

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Integrations Supported

Integrations Supported

APIFuzzer
Amazon Bedrock
Arize AI
Conda
CrewAI
Databricks
Gemini Enterprise Agent Platform
GitHub
GrowthBook
JavaScript
JupyterLab
LangChain
LlamaIndex
Mathstral
Ministral 8B
Mixtral 8x7B
OpenTelemetry
Pixtral Large
Python
Slack

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

Phoenix Systems

Date Founded

1981

Company Location

United States

Company Website

www.phoenix-systems-inc.com

Company Facts

Organization Name

Arize AI

Company Location

United States

Company Website

docs.arize.com/phoenix

Categories and Features

Finance

Not specified

Categories and Features

AI Observability

Not specified

LLM Evaluation

Not specified

Semantic Layer

Not specified

Telemetry

Not specified

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