The most advanced ML Observability platform
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 […]
Start integrating our products and tools.
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 […]
In models, one often has to make do with subpar labels before production. Once high-quality labels are available, it becomes possible to re-evaluate the model’s performance. This is the most conclusive metric for detecting model degradation. Unfortunately, in most use cases it can take weeks, months, or even years until high-quality labels are available. Waiting for high-quality labels for re-evaluation might result in late detection of issues after serious damage has already been done.
Learn more about how this can affect your model in production.
