Insurance
Know which policies sit in the flood before the first claim is filed, and settle the straightforward ones without sending an adjuster.
The whole planet, photographed every morning.
Sixty-four satellites image every square kilometre of land each day. Our models turn the pictures into answers: which fields flooded, which ports backed up, which roofs are new.
Landsat scene courtesy of USGS. Infrared and vegetation views are simulated from the visible bands for this preview.
64satellites in sun-synchronous orbit
148M km²of land imaged every day
3 mdaily resolution, 50 cm on request
2015archive starts, every scene kept
Pictures are the raw material. Signals are what you buy.
Each Signal is a model that reads every new image of the places you care about and tells you when something changed, by how much, and since when.
Flood extent
Water mapped through cloud using radar passes, compared with the dry-season baseline for every parcel in your portfolio.
- Area under water
- 12.4 km²
- Change since yesterday
- +8.1 km²
- Insured buildings affected
- 1,284
Crop stress
Vegetation health per field, every day, against that field’s own five-year curve. Agronomists see a problem a week before it shows from the road.
- Fields monitored
- 3,920
- Below seasonal normal
- 214
- Forecast yield, this farm
- −6% vs plan
New construction
Footprints of new buildings, roads and solar arrays, dated to the week they appeared. Useful for permits, valuations and supply-chain checks.
- New structures this quarter
- 2,611
- Largest single site
- 41 ha
- First seen
- 12 Mar 2026
Shoreline change
Where land meets water, measured at every pass and compared back to 2015. Erosion, dredging and land reclamation show up as a moving line.
- Coastline tracked
- 48,000 km
- Retreat, this segment
- 11 m since 2016
- Measurement error
- ±1.8 m
Yesterday’s picture of any field, in four lines.
Draw an area or send a GeoJSON. We return analysis-ready imagery, already corrected for atmosphere and terrain, and the Signals you subscribe to as plain JSON.
- Python, JavaScript and QGIS plugins
- Cloud-optimised GeoTIFF and STAC catalogue
- Webhooks when a Signal crosses your threshold
from nadir import Client
field = Client().aoi("fields/rio-verde-07.geojson")
scene = field.latest(cloud_max=0.1)
stress = field.signal("crop-stress", since="2026-09-01")Scene 2026-10-18T06:42Z, cloud 2%, 36 tiles
Who looks down every morning.
Agriculture
Per-field health and yield forecasts for lenders, input suppliers and growers with too many hectares to walk.
Commodities
Ship counts at anchorages, tank farm fill levels and stockpile volumes, a day ahead of official numbers.
Public sector
Deforestation alerts, sea-ice and shoreline monitoring, and disaster response maps within hours of a pass.
Pay for the area you watch.
Every plan includes daily imagery of your areas, the full archive back to 2015 for them, and API access. Signals are added per area.
Explorer
$0per month
- Up to 25 km² watched
- Weekly imagery
- One Signal
Team
$1,900per month
- Up to 5,000 km² watched
- Daily imagery at 3 m
- All Signals and webhooks
- Five seats
Enterprise
Customannual contract
- Country-scale areas
- 50 cm tasking
- Custom Signals trained on your data