Quickly move from idea to production-ready app with our mobile machine learning platform.
Start building – without a PhD in machine learning
Our integrated platform empowers your dev team to tackle each challenge in the mobile ML lifecycle: generate and collect labeled datasets, train optimized models without code, deploy and manage on any mobile platforms, and improve models and app UX based on real-world data.
Use the Dataset Generation tool to create robust, labeled image datasets from only a handful of seed images.
The Dataset Generator helps your mobile machine learning project become a reality more quickly than ever. Create datasets without labeling thousands of images by hand, then train more accurate models with mobile-specific data augmentation.
Use Fritz AI Model Training to build production-ready mobile machine learning models without any code.
Building quality ML models for iOS and Android has never been so easy. Model optimization is simple and straightforward. Both Core ML and TensorFlow Lite models are created automatically with variants available for a variety of needs and use cases.
Model Training Capabilities
Train production-quality, mobile-ready ML models without any code.
Retrain current models with newly-generated or collected data.
Optimize model variants according to project or device requirements.
Skip the complicated pre- and post-processing code.
Combined workflow with data generation, collection, and model training.
Develop apps with trained models faster with the Fritz SDK.
Dataset Collection System
Use the Dataset Collection System to gather user-generated data for model improvement.
Know what your models predict and what users expect those same models to predict. The Dataset Collection System (DCS) captures both—so you can better understand real-world model performance and usage.