PlaceRouter is built across the domains where AI systems need facts about the physical world. Each carries an honest status: what is under active research, what has been probed for sources, and what is still being explored.
Experiments run and reported on the Research page.
Sources tested for access, authentication, stability and shape in the multi-domain probe.
Sources connected for a specific requirement. None public yet.
On the map. Not yet measured.

Conditions of the natural environment, measured continuously by networks nobody in AI operates.

How people, vehicles and goods are moving, from operators and authorities.

The state of the networks that keep the physical world running.

What is available, at what price, from which business.

The entities everything else refers to.
Per-hardware calibration transferred to unseen sensors in air quality. Per-station personalization created negative transfer in weather. Freshness measurably degraded transit accuracy. PlaceRouter exists to learn those differences, not assume them.
Working in a domain we have not measured yet? That is usually where a pilot starts.