Know what's on the ground.
Satellite imagery, terrain, weather and public records, turned into answers you can act on — for property, for datacenters, for whatever comes next.
Every layer sees the others.
A parcel knows its zoning, its owner and how far the grid is.
Site search
Set the criteria — location, minimum size, use class, zoning. Layrd searches every parcel against them and runs an AI check on each candidate, so only what genuinely qualifies comes back.
Ownership
The full chain traced — holding structures, shareholders and tenants resolved from 30+ registry sources in seconds.
Change detection
Near-daily satellite passes, compared automatically. Construction, extensions and reinvestment are flagged and dated.
Building analysis
Footprint, height and gross floor area read straight from the satellite view — with an indicative price per square metre.
Site shortlist
Parcels that satisfy size, zoning, grid access and water at once — ranked against the criteria rather than assembled by hand.
rekon is not a map and not a database. It is a research assistant for places.
You give it an address, or a set of criteria — a minimum size, a use class, a region. It then does what an analyst would do: pulls the satellite imagery, the land registry, the development plan, the official land values and the infrastructure around the site, and reads them against each other.
Then it checks whether what it found actually holds up, and returns an answer with its evidence attached — not a list of sources to go and check yourself. The work that took days takes minutes.
One image. Six datasets.
layrd labs
Making the world queryable.
Satellites see the physical world. Registries describe it. None of it answers a question — so we build the models that do.
- 01
Surface classification
Land cover labelled at parcel level.
- 02
Object detection
Vehicles, machinery and structures, counted and tracked.
- 03
Change detection
What moved since the last satellite pass.
The same engine, pointed anywhere.
Critical infrastructure
Watched, not inspected.
Siting & development
Where to build, and what it costs to.
Land & environment
At national scale.
Research
Without a GIS team to ask.
The questions it answers.
Each of these used to take days of manual work — or was never asked at all, because finding out cost more than the answer was worth.
Freiflächen ab 12.000 m², Gewerbe, nördlich Frankfurt
Days of manual groundwork, answered the same day. Mandates that were dropped as uneconomic to research are worth taking on again.
Who owns this building, and through which companies?
Holding structures, shareholders and tenants resolved across 30+ registry sources in seconds, instead of a week in the registries.
What has changed on this site since the last pass?
Near-daily satellite passes compared automatically, so construction and reinvestment are flagged and dated before they reach a listing.
Which industrial parcels over 10 ha sit within 3 km of a substation with spare capacity?
Built to cut a region down to the handful of parcels that clear power, size and zoning at once — the search that usually takes a specialist consultant weeks.
How far is the nearest fiber backbone, and the water for cooling?
Built to check connectivity and cooling supply against the parcel before anyone commits to a site, not after the option is signed.
What can actually be built here — footprint, height, setbacks?
Built to read the local development plan against the parcel and return the permitted envelope, so early planning starts from what is allowed.