Skip to content
5 engagements openSee the work

Some problems are invisible until someone looks.

Caelus finds humanitarian and infrastructure gaps from orbit, then hands that data, and the work of responding to it, straight to the people already there.

  • NASA
  • Yale
  • NOAA
  • Cambridge
  • FEMA
  • MIT
  • USGS
  • SkyTruth
  • National Weather Service
  • Stanford
  • Copernicus
  • GFZ Potsdam
  • ICIMOD
  • Red Cross
  • ESA
  • Princeton
  • HOTOSM
  • German Aerospace Center
  • EPA
  • PISFCC
  • Humanitarian Data Exchange
  • Vida Water
  • NOSDRA
  • ISRO SAC
where this has reached

Found, then
handed over.

A satellite passes over every one of these places on a fixed schedule, whether or not anyone is reading what it sends back. The work is in the reading, and in getting it to someone who can use it.

100,000+
properties analysed

Infrastructure loss, historical trends, and remapping for reconstruction

13
organisations engaged

Counterparts, data partners, and response networks we are working with

5
continents

From the Rio Grande to the Himalaya to the Pacific

200+
researchers using Kairos

Including Cambridge, Yale, GFZ Potsdam, and the German Aerospace Center

40+
years of imagery read

Optical back to the Landsat archive in 1984, radar from Sentinel-1 in 2014, read together

A collapsed span, a flooded block, a field that did not come back: all of it is visible from orbit within hours. Getting that picture to the people standing in it is the part nobody is paid to do.

See the open engagements
the problem

A disaster is never only about the disaster.

A magnitude 7.0 hit New Zealand in 2010 and killed nobody. A magnitude 7.0 hit Haiti the same year and the death toll ran to six figures. Across all hazards, earthquakes, cyclones, drought, wildfire, flood, people exposed in the poorest countries die at roughly seven times the rate of people exposed in the richest.

The pattern is inside countries too, not just between them. Buildings fall where codes were not enforced. Housing sits on the slope and the floodplain because that is the land nobody else wanted. Warning, drainage and evacuation routes follow the money rather than the risk.

Which would be a problem about disasters, except that the systems built to find need carry the same slope. Satellite poverty maps are trained on a thin layer of survey data and asked to predict everywhere else, and they turn out to be much better at telling a city from a village than at telling two villages apart.

So the places hardest to see are the places the models are worst at, and they are the same places that pay for it when the ground moves.

Every populated place an instrument can see97 of 1,200
N° 01

more likely to die from the same hazard in a low-income country

UNDRR, disaster mortality 1996 to 2015

N° 02
83%

of earthquake building-collapse deaths, in anomalously corrupt states

Ambraseys and Bilham, Nature, 2011

N° 03
573

floods matched against income distribution across 67 countries

Lindersson et al., Nature Sustainability, 2023

N° 04
10

countries where satellite poverty maps were audited for bias

Aiken, Rolf and Blumenstock, 2023

current work

From mapping
to recovery.

Every one of these starts the same way: something measurable is happening to people, and the record that would prove it does not exist. Closing that gap is what saves the weeks, the money, and sometimes the lives that get spent waiting for someone to notice.

Read the full scope of each one
in the field

Nine metres,
thirty minutes.

9 m
rise in the Trishuli, in about thirty minutes
72 km
of river with settlements struck
682
outburst floods already catalogued across the range

On the morning of 26 August 2026 a flood came down the Lhende, crossed into Nepal at Rasuwagadhi, and struck settlements along roughly seventy-two kilometres of the Trishuli. Seismometers on the other side of the world recorded the collapse that started it before most people in the valley knew anything had happened.

The event was observable. It was observed. What it was not was delivered to anybody standing in the water.

This is not an unstudied hazard. ICIMOD and its collaborators have been cataloguing outburst floods across High Mountain Asia for years, and the same corridors keep appearing in the record. The map below is a selection from it, 1981 to 2026.

this is open

Caelus is not a closed program.

Everything we find is meant to be picked up. If you want to build a response to something on this site, or you know a place that deserves a closer look, there is a way in.

No application to read, no equity taken, no ownership claimed over what you build.