Fritz AI | Machine Learning for iOS and Android

Machine Learning for your Mobile Apps

Fritz AI is the machine learning platform for iOS and Android developers. Teach your mobile apps to see, hear, sense, and think.
Fritz AI

For App Developers

Start building – without a PhD in machine learning
Add ML-powered features to iOS and Android apps with only a few lines of code. Our APIs come with pre-trained ML models baked right in.

For ML Experts

The toolkit for mobile ML success
Our end-to-end platform makes it easier to build and deploy the right ML model to the right device at the right time.

Ready-to-use Features

Add ML-powered features to iOS and Android apps with only a few lines of code. Use our APIs with ready-to-use ML models baked right in. What will you build with Fritz?
Object Detection

Identify and track objects within an image or video.

Image Labeling

Recognize people, places, and things with hundreds of labels.

Style Transfer

Turn photos and videos into unique masterpieces based on real art.

Image Segmentation

Recognize people and objects to separate them from the background.

Pose Estimation

Track movement and orientation of key body parts.

Built with Fritz AI

We make machine learning easy on iOS and Android, but our customers make magic. Learn more about the amazing experiences our talented customers have built.

Why on-device ML over cloud?


Avoiding network round-trips and data shuffling results in brilliant performance.


Whether a few devices or millions, ML on-device scales consistently.

High Value

Cloud-based providers of ML are expensive. Edge-computing saves time and money.


Personal and identifying information does not need to be sent to the cloud, ever.

Available Offline

All our edge solutions work fully offline for maximum portability (even on airplane mode).


From photos to current whereabouts, local data can stay entirely on device.

Heartbeat Blog + Newsletter

Visit Heartbeat to read our blog, or sign up below for the latest news delivered via email. Heartbeat offers practical advice, technical guides, and thoughtful discussion to get you started with mobile machine learning.

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