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Arize AI

ML and LLM observability platform for monitoring and evaluation

AI InfrastructureFounded 2020#23 of 54 in AI Infrastructure

Updated May 29, 2026

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Company profile

What is Arize AI?

Arize AI provides an ML observability platform that helps data scientists and ML engineers monitor, evaluate, and troubleshoot machine learning models and large language models (LLMs) in production. By offering tools for drift detection, performance monitoring, and root cause analysis, Arize ensures the reliability and ethical deployment of AI systems, preventing costly model failures and maintaining model integrity. This positions them as a critical infrastructure provider in the MLOps ecosystem.

Company research

As of April 29, 2026
  1. GitHub commits decreased 83.7% over the last 30 days.

Source check
Standard. Use as a directional reading from retained source data.
Sources
5 measured data points from 5 sources, current through 2026-04-29.

Latest company data

Primary data point

Downloads

853.3K/30d

Tracked package: PyPI arize

▲ +19%Updated 1d ago

Other data points

Dependent projects

13

Projects depending on tracked package: PyPI arize

Updated 11h ago

GitHub stars

9.9K

Main repository stars

Updated 11h ago

Hacker News

1/30d

Position #42 in category discussion

Updated 11h ago

Repository health

Maintenance data from the main open-source repository.

Key-person risk
2
External contributors
20
% of recent contributors outside the core team
Releases (30d)
0

Repository usage

Public repositories and source files importing packages tied to Arize AI.

Repos importing
40%

About Arize AI

Arize AI provides an ML observability platform that helps data scientists and ML engineers monitor, evaluate, and troubleshoot machine learning models and large language models (LLMs) in production. By offering tools for drift detection, performance monitoring, and root cause analysis, Arize ensures the reliability and ethical deployment of AI systems, preventing costly model failures and maintaining model integrity. This positions them as a critical infrastructure provider in the MLOps ecosystem.

FoundersAparna Dhinakaran, Jason Ding

Funding

$61M · 3 rounds

Raised $61M total. Category position #23 of 54 in AI Infrastructure.

Series B2022

TCV

$38M
Series A2020

Battery Ventures

$19M
Seed2020

Foundation Capital

$4M

Investors

Battery VenturesFoundation CapitalTCV

Tracked packages (1)

1 PyPI

arize

PyPIMain PyPI package

arize

ML and LLM observability platform for monitoring and evaluation