rekon — aerial satellite view
real estate · intelligence · 2024

See real estate
through AI satellite data.

Type an address. Ten seconds. Everything a building hides.

Most real estate decisions are made on incomplete information. Ownership buried in holding companies. Vacancy guessed from the street. Change patterns invisible to the naked eye. rekon reads all of it — directly from orbit.

/ intelligence layers

One image. Six datasets.

A single satellite pass contains more intelligence than most site visits. rekon extracts it automatically — buildings, roads, green cover, parking, height, and ownership signals — in one search.

We start with the raw satellite view.
Floor plan extracted — footprint, gross area, and storey count in seconds.
Every road, access point, and loading zone classified.
Surrounding buildings mapped — usage class, height, age.
Parking surfaces detected and analysed for occupancy patterns.
Green cover, vegetation index, and ESG-relevant boundaries.
01 / 06

We start with the raw satellite view.

/ network

Every connection, mapped.

Behind every property sits a web of companies, shareholders, and individuals. rekon traces the full ownership chain — from the registered address to holding structures, co-investors, and every known tenant — and renders it as a single interactive graph. What used to take days of registry research takes seconds.

  • Registered owners & holding companies
  • Shareholders and co-investors
  • Active tenants and commercial operators
  • Planning connections and public entities
30+registry sources
< 10sfull chain traced
liveupdated daily
rekon network graph — ownership and tenant connections
Change heatmap — every shift flagged and dated.
Change heatmap — every shift flagged and dated.
Change heatmap — every shift flagged and dated.
Change heatmap — every shift flagged and dated.
Active construction detected — timeline and owner profile inferred.
Active construction detected — timeline and owner profile inferred.
Active construction detected — timeline and owner profile inferred.
Active construction detected — timeline and owner profile inferred.
01 / 08

Change heatmap — every shift flagged and dated.

/ rekon · aktive suche

Describe any property.
Satellites find it.

Type a plain-language description — building type, size, location, radius. rekon scans recent satellite imagery, surfaces every matching object on Earth, and traces each one to its owner.

3 Treffer · Raum Köln · Ø 8,4 km vom ZentrumSortieren: Match %
97% match
OBJ-2847Aufnahme 08 Nov 2025

Industriestr. 14, 51147 Köln-Porz

50.8731° N, 7.1382° E

1.240 m²Lagerhalle
91% match
OBJ-2851Aufnahme 08 Nov 2025

Gereonstraße 8, 51101 Köln-Mülheim

50.9284° N, 6.9432° E

980 m²Lagerhalle
88% match
OBJ-2863Aufnahme 22 Okt 2025

Porzer Ring 42, 51143 Köln

50.8612° N, 7.0284° E

1.100 m²Industrie + Lager
01

Objekt identifiziert

Satellitenbilder lokalisieren jedes passende Gebäude — mit Koordinaten, Grundfläche und Aufnahmedatum.

02

Eigentümer ermittelt

rekon recherchiert Grundbuch, Handelsregister und öffentliche Quellen — und liefert Namen, Struktur, Kontaktwege.

03

Direkte Ansprache

Vom ersten Satellitenbild zum unterschriftsreifen Angebot — bevor der Markt überhaupt davon weiß.

What rekon surfaces.

Select satelliteSelect satellite
See changeSee change
Detailed outlineDetailed outline
/ how it works

How rekon thinks.

01

Near-real-time satellite data.

Unlike traditional map services — where imagery can be weeks or months old — rekon pulls near-daily satellite passes. Every analysis starts from the freshest available view of the site.

02

Variance analysis across time.

The AI compares time-offset images automatically. Construction activity, building extensions, reinvestments, and shifts in surrounding infrastructure are flagged and dated — without a human ever opening a second tab.

03

Geodata measurement + pricing.

From the satellite view alone, rekon extracts perimeter, height, and gross floor area. Combined with regional comparison data, it produces an indicative price-per-square-metre — before anyone picks up the phone.

Three satellites.
One truth.

Most public imagery is years out of date. rekon pulls from three live networks — broad coverage, near-daily refreshes, and sub-metre detail on demand.

ESRI satellite viewSentinel-2 satellite viewMaxar satellite view
ESRI

World-class basemap imagery from Esri's global network. Ideal for broad area context, land use classification, and planning overlays.

01

Know the number
before the call.

Most deals die on misaligned expectations. A broker wastes a showing. An investor runs three weeks of due diligence on an overpriced asset. rekon short-circuits that — it cross-references live listings and market reports with the gross floor area extracted directly from satellite data to produce a price-per-square-metre estimate before anyone picks up the phone.

€ 2.1M
€ 5.4M
€ 3.2M
€ 4.6M
€ 1.8M
€ 6.1M
subject propertycomparable listings
what you get

Type an address. In under ten seconds: the full ownership chain, floor-by-floor vacancy, years of change history, roof analysis, height and gross floor area, and every POI in the catchment — structured, cross-referenced, and ready to act on. No site visit. No broker call. No registry hunt.

/ pilot · live
Information that used to take hours — available in minutes.

Our first pilot customer is live. What previously required half a day of manual research across registries, satellite tools, and six browser tabs now surfaces in a single search. The cost of a full address profile: less than one cent.

hours → minresearch time per address
< 0.01 €cost per full address call
30+sources per search
early accessApply for access →