Machine Learning for your Mobile Apps
Fritz is the machine learning platform for iOS and Android developers. Teach your mobile apps to see, hear, sense, and think.
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.
Custom Creations
Build and enhance your own ML features with Fritz. Train and test ML models with our integrated tools, or start with one of our notebooks to create your own custom variant.
Train and Benchmark
Build your models faster. Use Keras integrated with Fritz to automatically save checkpoints and deploy model updates throughout training.
Manage and Deploy
Manage custom ML features for iOS and Android. Protect, deploy, and monitor Core ML, TensorFlow Lite, or TensorFlow Mobile models.
Heartbeat by Fritz Built with Fritz
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?
Fast
Avoiding network round-trips and data shuffling results in brilliant performance.
Scalable
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.
Secure
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).
Local
From photos to current whereabouts, local data can stay entirely on device.
Blog & Community
Heartbeat offers practical advice, technical guides, and thoughtful discussion to get you started with mobile machine learning. Visit Heartbeat to read our blog, or sign up below for the latest news delivered via email.
