> ## Documentation Index
> Fetch the complete documentation index at: https://docs.slai.io/llms.txt
> Use this file to discover all available pages before exploring further.

# What is Slai?

> Slai is the fastest way for developers to build machine learning applications that can be deployed on serverless infrastructure and shared with anyone in the world.

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.

<Note>
  We started Slai to help developers build and deploy machine learning
  applications on powerful cloud environments, without having to think about
  infrastructure.
</Note>

## 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](/sandbox/model-handler)
* Write and [run tests](/sandbox/testing) on your model
* [Connect datasets](/sandbox/datasets) from an [integration](/integrations/connecting-s3-buckets)
* [Version your work](/sandbox/model-versions) as you iterate

<iframe class="w-full aspect-video rounded-lg shadow-lg h-96" width="560" height="315" src="https://www.youtube.com/embed/duoIUwWzu3E" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen />

### Deploy and Monitor

Applications are hosted on our serverless backend, with automatic scaling built-in.

* [Deploy a model](/sandbox/deployments) to a serverless endpoint
* Monitor **inference time, traffic, and latency**
* Search through the **Deployment Logs**
* [Integrate the API](/api-reference/model) into your app

<img src="https://mintcdn.com/slai-docs/0GTBstnyDK-8Z9OV/img/deploy-and-monitor.svg?fit=max&auto=format&n=0GTBstnyDK-8Z9OV&q=85&s=b3a6b21ab3ae2b19506dfb61faa38f7e" alt="Deploy and Monitor" width="1280" height="720" data-path="img/deploy-and-monitor.svg" />

### 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

<img src="https://mintcdn.com/slai-docs/x8Ejwqb1sXwT0acS/img/share.svg?fit=max&auto=format&n=x8Ejwqb1sXwT0acS&q=85&s=76232fd9fec1de783eb956b0cedb8329" alt="Share" width="400" height="212" data-path="img/share.svg" />

## Getting Started

Here are a few resources to help you get started:

* Browse our [Template Library](https://www.slai.io/launchpad) with featured projects
* [Connect a data source](/integrations/connecting-s3-buckets) to your account

If you have any questions about these docs, or just want to chat through your project, feel free to send us a note at [support@slai.io](mailto:support@slai.io), or chat with us by clicking the blue chat icon on the bottom left side of your screen.