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Physical AI intelligence

Physical AI intelligence is knowing what actually happened in the world: which actors moved, on which surface, in which weather, at which meter, how rarely, and what changed since the last pass. ZipF is the company that produces that signal as a queryable graph.

Most products that claim to know the physical world are built on the wrong unit. Maps freeze last season's geometry. Public datasets freeze a few cities in a few seasons. Simulation invents the tail. Hour-long archives cannot be asked a question. ZipF writes the scene as an event.

The event is the unit of physical AI. Class, track, box, mask, lat/lon, heading, speed, inertial state, weather, rarity, and change. Identity is stripped. That network of events is physical AI intelligence.

ADAS is already a tens-of-billions market and moving from option to mandate. HD maps only work if they refresh. Automotive training datasets are a $953M slice in 2026. World models are the larger room the same graph walks into. Dense mixed-traffic geographies are the beachhead because the tail is thick there.

What you can ask the graph

Pedestrians in the carriageway at night in rain. Two-wheeler conflicts on unmarked roads. Surface defects after a flood. Markings that vanished since Tuesday. Animal-in-scene events for a safety case. A held-out eval a public dump cannot leak.

Those questions are the same dataset, packaged for different buyers. Labs train. Maps refresh. Insurers settle. Cities ticket. Every body that leaves a screen reads the same meter. Every desk that never moves prices it.

Why owning the event matters

Hours reconstruct a drive after the fact. They see pixels. ZipF sees the event that made the pixels matter. Intelligence quality follows event quality. Event quality follows who wrote the record and ranked it.

The next leap is rarity plus time, not another class on a label file. A dump reports what it already has. Physical AI intelligence also reports what the world keeps producing and the dump keeps missing - and whether that meter is still the same next week.

Questions

What is physical AI intelligence?

Labeled, time-stamped, geolocated ground truth of the real world: actors, surfaces, weather, rarity, and change. ZipF produces it as a Physical Event Graph.

How is this different from a video archive?

An archive is hours. Physical AI intelligence is a queryable event. ZipF ships the record a planner can ask for, with identity already removed.

Does ZipF work outside one country?

Yes. The schema is global on day one. Dense mixed-traffic geographies are the beachhead because the tail is thick there. US, Gulf, and European metros are the same machine.

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