Create the most helpful and entertaining materials for helping developers master their craft
Document your coding projects and journey to becoming an AI/ML pro
Partner with founders who worked at Airbnb for over 9 years combined.
Backed by Gradient Ventures, Google’s AI focused fund, because they understand the positive impact AI will have when made accessible to more product developers.
Backed by Designer Fund because they care about design as much as we do.
Backed by Neo because they care about developers as much as we do.
Check out our fundraising announcement
<aside> 📜 Blog post: Why Mage exists
We believe in a world where every business, small and large, can create transformational products for their customers.
Our mission is to equip developers with accessible AI technology so they can deliver magical experiences to their users.
We’re making AI accessible to front-end developers, backend developers, and native developers at small to medium sized companies. Mage will make AI technology so accessible, a mom-and-pop shop can harness its power.
Mage is the Stripe for AI. Stripe made it easy for developers to integrate payments into their apps. Mage makes it easy for product developers to integrate AI into their apps.
Mage is a collaborative AI tool for product developers.
With Mage, product developers can import data from data warehouses, transform data, train models, improve models, and deploy models without having to rely on data scientists or hiring AI engineers and waiting 6 months for them to ramp up.
You can increase revenue and retention by using an AI tool like Mage to make predictions using your existing data. Use cases for AI include improving ranking to increase revenue, recommend new products to users to increase revenue, increase app engagement by predicting when a user will stop using it, predict membership subscriptions to increase retention of existing paying users, and more.
Ship a model in minutes, not months. How it works in 4 steps:
Write technical blog article educating product developers (front-end developers, backend developers, native developers) on AI/ML and how to get better.