Measure/Launching Q4 2026

Launching: Measure, Q4 2026

Measure Geospatial Intelligence Launching Q4 2026

The intelligence layer for water in the physical world. Currently in private deployment with early partners; opening publicly Q4 2026.

Measure is a new kind of hydrology model: built at the scale of a single wall, designed to understand how water behaves around every property.

The physical world contains an extraordinary amount of information accumulated over decades: about terrain, water, buildings, land, infrastructure, weather, geography, and the places people build and live. That information has never existed as one coherent measurement system. Measure changes that. We turn massive amounts of physical-world information into precise, property-level measurements that answer questions no conventional property database or mapping platform can answer.

Not a map. Not a flood-zone lookup. Not a risk score. A system for measuring what water is actually doing around a building.

A completely new level of property intelligence

Most property intelligence stops at the property. Measure goes down to the wall. Because a building doesn't experience water as a polygon: one side can drain cleanly, another can receive substantial surrounding runoff, another can sit beside a depression, another can have an entirely different physical environment. Measure preserves those differences.

For every side of a structure, we can examine the physical conditions around it and determine what the available evidence supports, down to individual measurements, variation, and uncertainty. The result isn't "this property has drainage risk." It's "this wall has measurable negative grading, receives substantial surrounding contributing terrain, and connects to a downstream drainage path." That is a fundamentally different level of information.

We measure the physical world instead of summarizing it

The conventional approach is to take an enormous amount of geographic information and compress it into a handful of labels: flood zone, elevation, slope, property value, risk category. Those labels are useful. But they leave enormous amounts of information on the table. Measure is built to preserve the underlying physical reality. It can ask:

  • Which side of a structure receives the most surrounding water?
  • How does the ground behave relative to each wall?
  • How much surrounding terrain contributes to a location?
  • Where does surface water move? Where does it concentrate? Where does it stop?
  • Where does a depression eventually release water?
  • Does drainage continue beyond the property?
  • Where does water encounter physical boundaries?
  • Which parts of a property behave differently?
  • How stable is each conclusion?

These aren't properties of a database record. They're measurements of the physical world.

Millions of measurements. Years of accumulated information.

Measure is built on years of accumulated physical-world data, research, and engineering and has been developed through millions of individual measurements across real properties and diverse physical environments. Every property adds another observation of how the physical world behaves. Every geography introduces different conditions. Every edge case exposes another limitation to understand. Every new source creates the possibility of answering questions that weren't previously measurable.

This is not a static dataset. It is a measurement system that gets richer as the physical world is measured at scale.

No arbitrary scores. No manufactured certainty.

Physical reality is not a 1-100 score. So Measure doesn't hide measurements behind one. If a property has a measurable condition, we show the measurement. If there is meaningful variation, we show the variation. If uncertainty matters, we show the uncertainty. If the evidence isn't sufficient to establish an answer, we say so.

That distinction matters. Because the most dangerous property intelligence isn't information that's obviously wrong. It's information that looks precise while hiding how uncertain it really is. Measure is built to do the opposite. We would rather tell you what we can establish than pretend to know what we can't.

From one wall to an entire physical system

A wall-level measurement is only the beginning. Connect enough measurements and a property becomes a physical system that can be queried: structure → property → surrounding terrain → water movement → physical boundaries → downstream environment. Measure can follow those relationships instead of treating every dataset as an isolated layer.

That means the same underlying system can answer questions at radically different scales:

  • One wall. What is happening immediately around this side of the structure?
  • One building. How do conditions differ around the structure?
  • One property. What physical environment surrounds it?
  • A neighborhood. How do properties interact with surrounding terrain and drainage?
  • A territory. Where are thousands of properties exhibiting a particular measurable condition?
  • A market. Where is the physical-world signal strongest?

The measurement gets smaller. The opportunity gets larger.

The physical world becomes searchable

Once physical conditions become measurements, they become data. And once they're data, they can be searched, filtered, compared, aggregated, monitored, and combined. Instead of "show me properties in this ZIP code," you can ask:

  • Find properties where a particular side of the structure has negative grading and substantial contributing terrain.
  • Find properties where localized depressions occur near the structure while the broader environment drains toward the property.
  • Find every property in a territory exhibiting a specific measurable physical condition.

That changes what a property search can be. You're no longer searching for places. You're searching for physical conditions.

A new data layer for the built world

This is where Measure becomes much bigger than a drainage report. Today, businesses buy data about properties. They buy data about people. They buy data about markets. They buy data about geography. But there has been no universal measurement layer for the physical behavior of individual places. Measure is building that layer.

A contractor can use a measurement to find an opportunity. An engineer can use it to investigate a property. A developer can use it to evaluate a site. An insurer can use it to understand localized physical conditions. A property manager can use it across an entire portfolio. A real estate professional can use it to understand characteristics that ordinary property data doesn't capture.

One measurement. Many applications. That's what makes the underlying platform much larger than any individual product.

Water is where we start

Water is one of the most consequential forces acting on the built environment. It moves. It concentrates. It follows physical conditions that aren't obvious from a property record. It crosses boundaries. It collects in places people don't expect. And when it reaches a building, the cost can be enormous.

Yet most property software still describes water using broad geographic categories: flood zone, rainfall, proximity to water. Measure approaches the problem differently. What is the water doing at this building? Not across the county. Not across the ZIP code. Not in a generic flood zone. At this building. At this wall. At this place. That is the level at which physical intelligence becomes actionable.

Built for millions of properties

The ambition isn't to analyze one property beautifully. It's to make this level of physical intelligence available everywhere. A contractor shouldn't need a GIS analyst to investigate a property. A developer shouldn't need to assemble dozens of sources to understand a site. An insurer shouldn't have to rely entirely on broad geographic proxies. A property manager shouldn't need to manually investigate every building in a portfolio. And a business shouldn't have to wait for an expensive site analysis before discovering which properties deserve attention.

Measure turns physical analysis into infrastructure.

The beginning of a much larger system

Water is only the first domain. The deeper opportunity is the ability to take enormous amounts of information about the physical world and transform it into measurements about real places. As the system expands, so does the universe of questions that can be answered. More data creates more measurements. More measurements create more possible queries. More queries create entirely new applications.

The goal isn't to build another property-data company. The goal is to make the physical world computable.

The physical world is full of data

For decades, we've built systems to make the digital world searchable. You can query a database. Call an API. Search a website. Ask software a question. The physical world is different. Its information is fragmented across countless sources and buried inside enormous amounts of spatial and historical data.

Measure is building the layer that connects those observations to real-world measurements. So that instead of asking "what data do we have about this place?" you can ask "what can we measure about this place?" That's a much bigger question. And it's the question we're building Measure to answer.

Measure. Measure the physical world.
Years of accumulated data. Millions of measurements. Wall-level intelligence. Property-scale hydrology. A new layer of physical-world data.
Launching publicly Q4 2026.

Get in before the public launch

Measure is in private deployment with early partners now. A single property report is available today, and platform access opens by conversation.