We started Slai to help developers build and deploy machine learning
applications on powerful cloud environments, without having to think about
infrastructure.
Slai’s 3 core components
Build in the Sandbox
The sandbox is a cloud-based IDE to build and manage your ML apps.- Write pre and post-processing logic in the handler
- Write and run tests on your model
- Connect datasets from an integration
- Version your work as you iterate
Deploy and Monitor
Applications are hosted on our serverless backend, with automatic scaling built-in.- Deploy a model to a serverless endpoint
- Monitor inference time, traffic, and latency
- Search through the Deployment Logs
- Integrate the API into your app
Share
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.- Publish your app and share it with your colleagues and friends
- Fork a sandbox to customize and iterate on any model shared with you
- Pin your model as a template for use in your organization
Getting Started
Here are a few resources to help you get started:- Browse our Template Library with featured projects
- Connect a data source to your account