Tag
Data ontology
Data ontology is the layer that turns raw data into a model of the business. Done well, it is the difference between AI that summarises documents and AI that operates a supply chain. We build ontologies in Palantir Foundry that match how the business actually thinks: objects, links, actions, and security. Applications, agents, and analytics all reason against the same shared model. Articles below cover ontology design patterns, common mistakes, and field lessons from organisations that have got it right.
Read · 7 min
What is Palantir - Part 2: How the data gets in
Foundry connects to the systems you already run. Part 2 covers the integration layer: connectors and virtual tables, four sync patterns, governed pipelines with LLM nodes, markings.Read · 8 minYour AI Agent Has the Keys. Now What?
Most of what makes an AI agent useful sits in the layer underneath the model.Read · 4 minWhat is Palantir - Part 1
Most enterprise AI is anchored to a single vendor's data model. Palantir starts somewhere different: a live representation of your entire business that humans and agents can reason over together.Read · 5 minWhy Palantir. Why now.
Twenty years building enterprise tech. Three acquisitions. The third platform I've put my conviction behind, and why I think this one's the biggest.Prefer a feed reader?
