Field Note · Ontology

Don't point the LLM at the data — point it at the ontology

5 June 2026 · Risto Anton Päärni · Helsinki, Finland

Here is the line we keep coming back to. Write it on the wall.

Don't point the LLM at the data — point it at the ontology, and point the ontology at the data.
At AIPCon 10, the USDA showed a governed ontology underpinning national food supply security — AI-enabled technology reaching every farmer in the country. The warning that came with it was blunt: point a model at hundreds of disconnected, ungoverned databases and you get a system that hallucinates, is insecure, and unauditable. For data that consequential, that is not just useless. It is dangerous.

We have said a version of this since January, when Palantir's Alex Karp put it plainly: buy an LLM off the shelf, point it at your stack, and wonder why it doesn't work. The AIPCon demonstration moves the claim from theory to a national, regulated, food-security deployment. The lesson holds.

And because cheering a competitor's demo is not a business, here is the honest part: the ontology is the product, and most teams are still pointing models at the wrong thing.

Continue reading — technical deep-dive

The technical sections of this article are available to registered readers. Registration is free.

Support subscription — 99 € / year

Annual support for Lifetime Scope Journal readers: access to technical deep-dives and questions answered on published technical content.

Subscribe

From the Store

See the price list →