Model Management for Mobile Machine Learning | Fritz

Model Management

Monitor usage, performance, and deploy updated models over-the-air
 

Use custom models with the SDK to monitor usage and performance, or deploy updated models over-the-air. Support for iOS Core ML, TensorFlow Lite and TensorFlow mobile.

Performance Monitoring

Custom model tracking allows you to monitor usage and performance on all devices running your app, live in production.

Live Model Deployment

Push model version updates over-the-air, no application update needed, no waiting for the app store approval.

I/O Sample Database

Sample input/output data from real-world devices, retrain models, catch edge cases, and improve accuracy.

Cross-Platform ML

One SDK supports all of the widely-used machine learning runtimes. Use Core ML, TensorFlow Lite, and TensorFlow mobile.

Model Protection

Creating your edge-deployed models does not need to create extra risk. Learn more about on-device model protection to avoid model theft and inspection.

Learn more