Mage now spreading more AI magic with their General Availability

First published on February 25, 2022

Last updated at April 4, 2022


2 minute read

John Patrick Hinek



A year after Mage’s creation in early 2021, we have officially launched into general availability. 

Mage is built on the mission to equip product developers with accessible AI technology so they can build magical products for their users. After working closely with early paying customers, we are confident in Mage’s ability to deliver a user-friendly, intuitive, and easy-to-use tool. 

At its core, Mage’s product is a solution for developers to integrate AI into their apps by building ranking models that increase user engagement and retention. Mage works by first connecting existing data sources into a Mage workspace. Once a user adds their data, Mage will provide guided suggestions for cleaning and enhancing that data to maximize the model’s performance during training. Once the model is done training, product developers can use its predictions in real-time via API requests. 

In just a year, we’ve created a product that is giving developers the power to harness AI in their apps, built models that support multiple use cases, and assembled an epic team of developers, designers, sales, and marketers. 

As happy as we are to announce our general availability, we’re even more excited by the fact that this is just the beginning of Mage. We have tons of great models and ideas built into our roadmap that we can’t wait to deliver. 

We’d like to highlight our early paying customers, beta-testers, and everyone who has contributed to elevating Mage to where it is today. The feedback we’ve received has made it possible to launch Mage to general availability. 

To read more about our general availability, check out our exclusive, featured on 


In preparation for our ProductHunt Launch on March 11, we would greatly appreciate early sign ups to the platform to support us when we go live! (It’s super easy to sign up and can be done through your Google account). 

Get started here: