On Slai, a machine learning app is more than just the model — it consists of pre and post-processing logic, datasets, Python requirements, in addition to the training code for the model itself.
We started Slai to help developers build and deploy machine learning applications on powerful cloud environments, without having to think about infrastructure.
The sandbox is a cloud-based IDE to build and manage your ML apps.
Applications are hosted on our serverless backend, with automatic scaling built-in.
Share your application with friends and colleagues. Slai makes your work fully reproducible - your end-to-end applications can be shared with anyone to customize and fork.
Here are a few resources to help you get started:
If you have any questions about these docs, or just want to chat through your project, feel free to send us a note at firstname.lastname@example.org, or chat with us by clicking the blue chat icon on the bottom left side of your screen.