What the ontology research pipeline is teaching us

One reason we are investing in ontology work at Hadto is that it gives us a better way to read markets before we build too much software around them.

The goal is not conceptual diagrams for their own sake. It is to understand which operating questions keep showing up in a domain, how reusable the underlying structure is, and where a future owner-operator would benefit most from better system support.

That is what our ontology research pipeline is starting to show.

Right now the clearest pattern across the current verticals is this:

• home_services looks like the fastest path to repeatable product packaging,
• professional_services looks like the strongest differentiation play,
• dental is still the most useful live learning frontier.

What we are measuring

Our research loop tracks competency-question coverage, ontology reuse, and where new operational questions are still accumulating.

That helps us ask better business questions:

• where is the structure already stable enough to package?
• where is the market specific enough to support differentiated tooling?
• where are we still learning what operators actually need?

Why home services looks attractive

In the current report, home_services has full competency-question coverage and the highest foundation reuse ratio.

That suggests more of the same core infrastructure can carry from one business context into the next. In plain terms: less one-off ontology invention, more repeatable scaffolding.

For Hadto, that points to a practical near-term opportunity. If we want to help domain experts launch owner-operated businesses with less custom build cost, home services may be one of the best places to create a tighter, faster productization loop. That does not automatically make it the most valuable vertical. It does make it look operationally efficient.

Why professional services still matters

Professional_services shows the lowest foundation reuse and a large concentration around engagement-oriented questions.

That usually means more domain-specific structure and more specialized operational nuance. It may be harder to standardize quickly, but the business logic may also be richer and more differentiated.

Not every good venture opportunity comes from maximum reuse. Some come from building the right depth in a market where generic software underfits the real work. If home services looks like the speed play, professional services may be the niche-depth play.

Why dental is still the best place to learn

Dental remains the only vertical with an open competency question, and it is also where new information has continued to accumulate in the research loop.

That makes it unusually useful. A fully green domain can look tidy while teaching us less. A domain with one remaining open question and active backfill pressure is often better for sharpening the pipeline itself. It shows where our modelling still falls short, where operator questions are more demanding than the current ontology, and what kind of evidence we need next.

This is the kind of signal we want the pipeline to produce more often: not just that the ontology improved, but what that improvement means for venture selection and operator infrastructure.

At the moment, the rough read is:

• home_services for speed and repeatability,
• professional_services for differentiated depth,
• dental for continued frontier learning.

If Hadto is going to convert employees into business owners, we need to know not just how to model domains, but where that modelling work creates the clearest path to launchable, teachable, durable businesses.