BullSequana AI documentation
Guidance for using, building, deploying, operating, and governing BullSequana AI.
BullSequana AI is a sovereign Data and AI platform for infrastructure that your organization controls. Use this page to choose the shortest path to the work you need to do.
Start
Guided paths
Follow an end-to-end path for a customer outcome.
Choose by role
Find the path that matches your responsibility.
Core concepts
Learn the installation, tenant, team, and resource model.
Explore the platform
Understand how AI, Data, and Foundation work together.
Use and build
Use BullSequana AI
Use the Portal, AI experiences, data tools, and workspaces.
Build an AI application
Integrate models and AI workflows through the BSQAI API.
Build a data workflow
Use managed workspaces, pipelines, and MLflow.
Developer documentation
Look up application, API, tool, and deployment guidance.
Deploy, operate, and govern
Deploy and operate
Plan, deploy, administer, troubleshoot, upgrade, and recover the platform.
Security and compliance
Understand access controls, isolation, audit evidence, sovereignty, and air-gap concerns.
Manage the service portfolio
Connect tenant lifecycle, adoption, capacity, and customer outcomes.
Resources
Troubleshooting
Diagnose practical platform and application problems.
Reference
Look up APIs, components, configuration concepts, and terminology.
Release notes
Review changes by BullSequana AI release.
Glossary
Use consistent product, tenancy, and operational terminology.
Agentic access
Use the Agentic Friendly action on any page for a clean Markdown rendering. The site-wide index is available at https://<docs-host>/llms.txt.