Aporia, an ML monitoring platform that enables the creation of customized monitoring platforms, announced the first public, free machine learning (ML) monitoring platform. Data scientists and ML engineers can now easily deploy Aporia’s self-serve product to start implementing monitoring logic for early detection of issues like data drift, bias, and performance degradation within minutes of entering the platform and build their very own monitoring system for their ML models in minutes.

Liran Hason, CEO of Aporia, said, “Our new self-serve product is a build-it-yourself option that offers full transparency with zero hassle. You can maintain full control of your ML models in production, and you will be able to build your own customizable monitoring solution for early detection of any issues.”
The goal of the release of this new self-service product was to create a platform that is fully customizable and extensible at its core and built on APIs.

The brand-new self-serve monitoring system was also developed to address a wide range of issues plaguing the current market landscape of existing artificial intelligence products. Model monitoring platforms are often confusing and misleading, driving users through complicated sales processes before they ever get the chance to test them out. This leaves a lot of grey areas for the users and adds uncertainty about the functionality of the solution.

The self-service offering from Aporia ensures a seamless experience for data science teams that wish to monitor machine learning models immediately in production. The low-touch approach eases the process of onboarding data scientists into the platform. There is live chat support available, but users do not have to speak with anyone if they do not wish to. There is no lengthy process involved in trying the platform. A simple, clear, and transparent experience is provided throughout.

The platform lets data scientists monitor production 100% of the time and can be customized to detect concept drift, data integrity issues, and production issues in their models early. With Aporia’s self-serve platform, teams can seamlessly deploy Aporia in less than five minutes and ensure the highest level of security whether they deploy in the cloud or on-premises.