#Foundry

Palantir use cases should not be read as a customer list. The useful pattern is multi-source data, Ontology, permissions, workflows, governed action, and feedback.

Apollo is easy to overlook, but it explains how Palantir can run Foundry and AIP across cloud, on-premise, edge, government, and other constrained environments.

Palantir's Ontology is not a traditional semantic layer and not just a nicer set of business names on top of tables. It puts objects, relationships, actions, logic, and permissions into one executable model shared by humans, applications, and AI agents.

Foundry is not mainly about moving more data into one place or building another BI layer. Its deeper role is to govern data, model business objects, support workflows, and connect decisions to governed writeback.

Palantir is not just a data analytics tool, and not just a defense AI company. The right starting point is to understand Foundry, AIP, Apollo, and the Ontology as one architecture for enterprise data, AI, and action.