List of Arize Phoenix Customers
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Since 2010, our global team of researchers has been studying Arize Phoenix customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Arize Phoenix for AI Model Deployment and Monitoring from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Arize Phoenix for AI Model Deployment and Monitoring include: Klick Health, a Canada based Professional Services organisation with 1500 employees and revenues of $480.0 million, 100X, a United States based Professional Services organisation with 30 employees and revenues of $5.0 million, LlamaIndex, a United States based Professional Services organisation with 45 employees and revenues of $3.0 million and many others.
Contact us if you need a completed and verified list of companies using Arize Phoenix, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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100X | Professional Services | 30 | $5M | United States | Arize | Arize Phoenix | AI Model Deployment and Monitoring | 2025 | n/a |
In 2025, 100X implemented Arize Phoenix, Apps Category , to instrument and observe LLM powered troubleshooting agents supporting on call engineering and incident response. The deployment centers Arize Phoenix as the model observability platform for IT operations and engineering workflows, with the company citing usage patterns in an Arize blog that documents their approach.
Arize Phoenix was configured to use OpenTelemetry auto instrumentation to capture traces and telemetry and to generate labeled datasets for model evaluation. The implementation leverages Arize Phoenix capabilities to run experiments and iterate on agent behavior, aligning dataset creation, experiment tracking, and model fine tuning with engineering validation workflows.
Operational coverage targeted on call engineering and incident response teams, integrating OpenTelemetry collected data into internal observability pipelines for trace correlation and troubleshooting. Governance emphasized dataset curation and experiment workflows managed by engineering, with a phased operational rollout to the teams responsible for incident response. The recorded outcomes include improved visibility into traces and reduced time to resolution in their engineering workflows.
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Klick Health | Professional Services | 1500 | $480M | Canada | Arize | Arize Phoenix | AI Model Deployment and Monitoring | 2023 | n/a |
In 2023, Klick Health deployed Arize Phoenix, Apps Category: , to support AI and analytics workflows for healthcare marketing and commercialization. The engagement is cited as a customer testimonial on the Phoenix site, and the testimonial context explicitly links Klick usage to Phoenix tracing and evaluation capabilities for LLM behavior in marketing and health content.
Klick Health uses Arize Phoenix to explore unstructured text and to identify root causes of unexpected user inputs and problematic LLM responses, leveraging Arize Phoenix tracing and evaluation features. Implementation signals point to configuration of tracing pipelines and evaluation modules to capture model inputs, outputs, and intermediate signals for root cause analysis across natural language workloads.
Operationally Arize Phoenix is embedded within Klicks AI and analytics workflows serving marketing and commercialization functions, instrumenting LLM response evaluation and unstructured text analysis. Governance emphasis in the deployment centers on traceability and evaluation workflows, and the described benefits reference Phoenixs LLM tracing and evaluation features as the principal functional capability driving the integration.
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LlamaIndex | Professional Services | 45 | $3M | United States | Arize | Arize Phoenix | AI Model Deployment and Monitoring | 2024 | n/a |
In 2024, LlamaIndex partnered with Arize to launch LlamaTrace, a hosted offering built on Arize Phoenix that targets developer tools/RAG workflows. LlamaTrace provides native tracing and persistent telemetry for RAG and agent based developer workflows, designed to capture and persist LLM application traces for developer evaluation.
The Arize Phoenix deployment for LlamaTrace centers on an instrumentation layer implemented by LlamaIndex instrumentors in Phoenix, which capture trace events from retrieval augmented generation pipelines and agent orchestrations. Functional capabilities implemented include trace ingestion, persistent telemetry storage, trace indexing, and developer facing trace inspection and query, aligned with common developer tools workflows.
Operationally the solution is delivered as a hosted offering on Arize Phoenix, with LlamaIndex instrumentors embedded in developer environments to stream telemetry into Arize Phoenix storage and analysis layers. The implementation scope emphasizes developer and RAG teams evaluating multi step agent traces and supports persistent trace retention within Arize Phoenix telemetry pipelines as described in Arize documentation.
The joint product and integration were announced in a July 2024 press release and are documented in Arize docs that describe the LlamaIndex instrumentor for Arize Phoenix. The integration helps teams evaluate and persist LLM application traces, enabling more consistent debugging and historical trace retention for RAG and agent based developer workflows.
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Buyer Intent: Companies Evaluating Arize Phoenix
Discover Software Buyers actively Evaluating Enterprise Applications
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