> For the complete documentation index, see [llms.txt](https://fluid-ai.gitbook.io/fluid-ai-frontier/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://fluid-ai.gitbook.io/fluid-ai-frontier/frontier/what-is-frontier.md).

# What is Frontier?

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A full scale solution for **Machine Learning, AI, Analytics Visualization & Reporting** with support for **Data Audit, Scheduling Pipelines** and **much more**.
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The Frontier Analytics Workbench is a full-featured, business-friendly solution that makes data science easier.

* **Environment Friendly**: The platform can run on Cloud as well as on-prem servers.
* **Data & Processing Pipelines**: You can configure pre-defined data pulling / processing pipelines or create your own.
* **Scheduling**: The platform supports setting up scheduled runs of your pipelines.
* **Alerting**: You can setup alerts for your pipelines. With updates over Slack, WhatsApp, SMS or even Email.
* **Model Training**: You can train machine learning / deep learning models with a few clicks.
* **Model Serving**: Serve models - both built on the platform or otherwise - and see realtime reports on the performance of the models deployed with easy swapping of updated models.
* **Data Auditing**: Enable teams to audit the predictions made and reports generated. Making updates directly to your data source.
* **Reporting and Visualization**: Create beautiful visualizations and business friendly reports in just a few clicks.
* **Data Scientist Friendly: Use jupyter notebooks to get full control over your data science requirements.**

## Getting Started

Check out a video overview of our product:

{% embed url="<https://www.loom.com/share/22594784eb8a462eb75c9fb29c32f309>" %}