CoreML Development Services
Why CoreML?
Developers choose CoreML models to create solutions that can self-learn when interacting with the user.
High performance
CoreML optimizes on-device performance using the CPU, GPU, and neural engine while minimizing memory footprint and power consumption.
Fast models deploying
CoreML is great for quickly integrating and deploying the created models into the application being developed.
Data privacy
Running the model on the user's device eliminates the need for a network connection, which helps keep your app's data private and responsive.
What Do We Offer?
Case Studies
Questions & Answers
What are the advantages of CoreML?
CoreML benefits include the fact that it is highly optimized for on-device performance, has on-device implementation that ensures data privacy, imports models from a cloud platform, and is compatible with most of the popular learning models. Basically, CoreML is an easy way to get up and going in the Apple ecosystem for on-device machine learning.
How do I run a CoreML model?
To load a CoreML model and integrate it to your application, simply add a model to your Xcode Project, create the model in code, get input values to pass to the model, use the model to make predictions, and build and run a Core ML application.
Use CoreML in your project
CoreML uses machine learning algorithms to improve user interaction with the application and ensure data reliability. In addition, solutions created on its basis allow using such features in the software as computer vision, speech recognition, and sound analysis. If you would like to discuss your project, please, contact us.