Category
AI and data platforms
AI and data platforms is where the next decade of enterprise technology is being built. Palantir Foundry and AIP are at the centre of it, combining data, business logic, applications, and AI in a single environment. We write about how this category is changing, what works in production, and the patterns we see across deployments. Articles below cover Palantir, ontology design, AI agents, governance, and the move from analytics-led to action-led enterprise software.
Read · 8 min
What is Palantir - Part 4 : Analytics on the Ontology
How Foundry's analytics tools trace a business problem to its cause on live, modelled data, no joins, no tickets. Why the answer is only as good as the model beneath it.Read · 3 minOpen weights won the argument in 48 hours
The open weights letter went from 25 to 77 signatories in a weekend, OpenAI, Google and SpaceX included. What it means for enterprise AI buyers, and the questions I'd ask before signing.Read · 8 minWhat is Palantir - Part 3: The Ontology
The model is the brain you rent or own. The ontology is the body you build, and without it even a strong model has nowhere to act.Read · 7 minWhat 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 · 9 minYour patch window is a board question.
AI is finding cyber vulnerabilities in hours. Most enterprises still patch in weeks.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.Prefer a feed reader?
