Machine learning for planetary risk

Ask any place.
See the risk.

pap.earth predicts future risk - hurricane, conflict, earthquake, drought, food stress, and instability - for any place on earth, and tells you what to do before it arrives.

The Risk Room

One question opens a room.

A shared briefing for a place: scores, evidence, and what to do, whether that is a community meeting, a family decision, or a local plan. The panel below is a live forecast for one place, straight from the same API the pilot runs on.

Banaadir, Somalia

Fetching live forecast…
Incumbents learn
0
days a year

from claims data that arrives 12-18 months after the loss

pap.earth learns
0
days a year

from communities confirming the ground within 72 hours

That gap is the moat. A dataset of leading, hyperlocal, human-verified outcomes is not for sale at any price, which is why the free community tier is architecture, not charity.

The pilot is open.

Free for community groups, mutual-aid networks, schools, and individuals.