Arize, founded in January 2020 by CEO Jason Lopatecki and Chief Product Officer Aparna Dhinakaran in Berkeley, California, started as a monitoring platform for traditional machine learning models, tracking drift and performance on tabular data before generative AI reshaped what production ML teams needed to watch.
As LLM applications moved from prototypes into production, Arize expanded through its open-source Phoenix framework into full generative AI support: LLM evaluation, prompt versioning through a Prompt Hub, and tracing built for conversational, multi-step agent applications rather than single-prediction models. That expansion carried the company to a February 2025 Series C at a valuation over $1 billion, on $131 million in total funding.
Arize runs on enterprise pricing without published self-serve tiers, reflecting its focus on production-scale monitoring across both classic ML and generative AI workloads. For a team that already has traditional ML models in production and is now shipping LLM-based agents alongside them, Arize's combined monitoring and evaluation platform addresses that directly.
