# Platform Overview (/docs/guides/overview)



What BullSequana AI Is [#what-bullsequana-ai-is]

BullSequana AI is a modular platform for running enterprise AI and data workloads on Kubernetes-based infrastructure.

It is designed to give organizations a production-ready foundation for AI without forcing them into a closed stack. The platform brings together runtime services, AI application capabilities, and data-oriented services in a structure that can be adapted to different deployment models and customer requirements.

Main Platform Layers [#main-platform-layers]

BullSequana AI is organized around three main layers:

* `Runtime`
  The operational foundation of the platform, including networking, security, storage, inference, observability, and delivery automation.
* `CoreAI`
  The main AI application layer, including the portal, stable AI APIs, model lifecycle services, retrieval components, and AI observability.
* `ProAI`
  The data and analytics extension layer, including ingestion, streaming, OLAP, and business intelligence services.

What Users Typically Interact With [#what-users-typically-interact-with]

Most users do not interact directly with every platform component.

The main user-facing entry points are usually:

* the `CoreAI Portal`
* the `CoreAI API`
* selected business and analytics services built on top of the platform

Depending on the user role, the platform may be used to:

* chat with models
* manage documents and files
* work with knowledge and retrieval experiences
* deploy or consume models
* build and run use cases
* explore analytical datasets and dashboards

Deployment Principles [#deployment-principles]

BullSequana AI is built to support:

* BullSequana hardware as the primary deployment model
* sovereign and private-cloud environments
* hybrid and customer-managed Kubernetes environments
* open, modular, replaceable components where needed

This makes the platform suitable for organizations that need control over infrastructure, security posture, and technology choices.

What Makes The Platform Valuable [#what-makes-the-platform-valuable]

The platform is designed to combine several qualities that are difficult to assemble consistently in-house:

* a production-ready operational base for AI and data workloads
* a stable application-facing AI layer for developers and users
* modular open-source-aligned architecture
* deployment automation and GitOps-based delivery
* support for enterprise identity, governance, and observability requirements

Typical User Journey [#typical-user-journey]

At a high level, the user journey looks like this:

1. authenticate through the platform access layer
2. enter the `CoreAI Portal` or another authorized service
3. use available models, files, or assistants according to role and permissions
4. consume or build use cases on top of the platform

For more technical users, the same platform can also be accessed through APIs, developer tooling, GitOps workflows, and deployment automation.

Where To Go Next [#where-to-go-next]

* [CoreAI Portal Guide](/docs/guides/coreai-portal)
* [Access & Authentication](/docs/guides/access)
* [Working with Data](/docs/guides/data)
* [Development](/docs/development)
* [Deployment](/docs/deployment)