Arize AI is an ML observability platform enabling ML practitioners to better detect and diagnose model issues
Our founders Jason Lopatecki and Aparna Dhinakaran were brought together through a common frustration: investments in AI are growing rapidly across businesses and organizations of all types, yet it is incredibly difficult to understand why a machine learning model behaves the way it does when deployed into the real world. If a machine learning team doesn’t have the tools to answer basic questions about a model’s performance metrics, how could they even attempt to answer more complex questions about the impact of these systems on the communities they are meant to serve?
From that passion emerged Arize, a machine learning observability platform to help unpack the proverbial AI black box. Our solutions provide ML teams the tools they need to understand whether their models are performing as expected in production and quickly get to the cause behind issues that emerge.
To make the world’s AI work and work for the people.
Where Technology Meets Humanity
At Arize, we believe the relationship between humans and AI should be complementary. That’s why we strive to:
GuideHelp people understand predictive systems from research to production
TroubleshootDetangle the complexity of ML models
WatchLook after ethical and fair guidelines
SupportProvide tooling to help better our world
Join us as we embark on a mission to help organizations better leverage machine learning and AI to enhance the lives of their customers, employees, communities, and society at large.
Our core values are our north star, keeping us all on the same page:
Integrity. Do what you say, say what you do
Balance. Hold space for what matters to you
Candor. Be open, be honest, be constructive
Humility. Keep a learning mindset
We want everyone at Arize to thrive physically, mentally, and emotionally.