Functions, Users, and Comparative Analysis
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Build AI products you can trust.
We’re super excited to share that Aporia is now the first ML observability offering integration to the Databricks Lakehouse Platform. This partnership means that you can now effortlessly automate your data pipelines, monitor, visualize, and explain your ML models in production. Aporia and Databricks: A Match Made in Data Heaven One key benefit of this […]
Fundamentals of ML observability
Metrics, feature importance and more
We’re excited 😁 to share that Forbes has named Aporia a Next Billion-Dollar Company. This recognition comes on the heels of our recent $25 million Series A funding and is a huge testament that Aporia’s mission and the need for trust in AI are more relevant than ever. We are very proud to be listed […]
Aporia provides a self-service platform for ML data science teams who need customized ML model monitoring. Our tool allows you to easily create an ML monitoring system for all your machine learning models in production. Built-in monitors & alerts for prediction drift, data drift, data integrity issues & more.
With the help of our growing community of users and the increasing variety of use cases we support, we’re transforming Responsible AI and Data Integrity from topics of analyst discussions into best practices for data science and machine learning teams.
We’re inspired by great modern build-it-yourself products. At the core of our platform is our strong ML monitoring engine, topped by a flexible, collaborative UX that turns monitor configuration and modification into a simple, customizable, and even fun experience.
