Arize AI

Overview
Activities
News
Machine Learning Infrastructure?
Generative AI Infrastructure?
Product stageSegments
Growth
?
Model Monitoring
?

Arize AI provides an ML observability platform that detects, troubleshoots, and eliminates ML model issues to improve model outcomes. The platform connects data sets across training, validation, and production environments through a central evaluation store to detect issues and diagnose the root cause. The company also offers an open-source library to monitor large language models (LLMs) for hallucinations called Phoenix , which monitors false or misleading results in applications built on top of LLMs such as Google’s Bard and OpenAI’s GPT-4. It also provides a suite of tools to evaluate and monitor production deployments of large language models (LLMs).

The platform uses purpose-built workflows, such as prediction slicing and filtering for root-cause analysis, and offers interactive visualizations to help isolate emerging patterns, underlying data changes, and data quality issues for data labeling. It also tracks distribution changes to measure model performance and automates model monitoring with real-time alerts and insights to identify drifts in data and optimize model performance.

Arize AI provides its platform under a SaaS subscription model, which includes a free plan with limited features.

Key customers and partnerships

As of January 2024, the company served over 40 customers including Uber, Spotify, eBay, Instacart, Chime, Neustar, Nextdoor, New York Life, and Stitch Fix.

The company has forged partnerships with other companies in the ML infrastructure space to bolster the capabilities of its platform. It partnered with Neptune.ai to monitor how models are performing in production, find problematic cohorts of features and predictions, and make more informed retraining decisions. It also collaborated with Modelbit to let developers deploy ML models into production with one line of code and begin monitoring and fine-tuning.

Funding and financials

In September 2022, the company raised USD 38 million in a Series B funding round led by TCV. The funds were utilized to accelerate its R&D and double its employee headcount of 50 over 2023.

HQ location:
740 Edgewood Avenue Mill Valley CA USA
Founded year:
2020
Employees:
51-100
IPO status:
Private
Total funding:
USD 61.0 mn
Last Funding:
USD 38.0 mn (Series B; Sep 2022)
Last valuation:
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