Palantir in Humanitarian and Disaster Response

Disaster response has a characteristic information failure, and it is not scarcity. Within forty-eight hours of a major event there is an enormous volume of reporting from government agencies, non-governmental organisations, local authorities, commercial satellite operators and social media. The difficulty is that none of it agrees, much of it is duplicated, and nobody knows which parts are current.

Coordination then fails in predictable ways. Two organisations deliver supplies to the same accessible location while a harder-to-reach settlement receives nothing, because both were working from different lists and neither could see the other’s.

Why platforms help, and what they do not fix

A shared object model, settlements, routes, facilities, stocks, teams, lets contributions from different organisations be combined without any organisation surrendering its own systems. Each contributes what it holds, the model resolves duplicates, and the gaps become visible, which is usually the most actionable output.

What it does not fix is the willingness to share. Humanitarian organisations have legitimate reasons for caution, particularly about beneficiary data and about being associated with military or intelligence actors in a way that compromises their access and the safety of their staff. A platform that makes sharing technically trivial while those concerns are unaddressed will simply not be used.

This matters more in this domain than almost any other. Humanitarian neutrality is a practical operating condition, not a philosophical stance, and tooling which appears to erode it creates real risk for people working in contested areas.

The logistics problem is genuinely hard

Routing relief into a damaged environment involves constraints that change hourly: bridges out, roads flooded, fuel unavailable, airfields congested, security conditions shifting. Planning against a static picture produces plans that are wrong by the time they are issued.

This is a legitimate use for optimisation and for modelling, and it is where analytics platforms have demonstrably helped, including in pandemic logistics and vaccine distribution. The requirement is that the model can be updated by people on the ground rather than only by a central team, because the central team is always working from information that is some hours old.

Beneficiary data deserves particular care

Information about displaced people and aid recipients is sensitive in ways that go beyond normal privacy concerns. In a conflict or a repressive context, a registration list is a targeting list. The history of humanitarian data handling includes episodes where carelessness had severe consequences for the people the data was collected to help.

The defensible approach is aggregation by default, individual-level data held only where operationally necessary, strict purpose limitation, short retention, and access decided by role with a recorded justification. A platform can enforce all of that, which is an argument for using one rather than spreadsheets, provided the configuration reflects the risk.

Civil and military coordination

Military logistics capability is frequently the only thing that can move at the required scale in the first days of a response, and civil-military coordination is therefore unavoidable. It is also where the sharing boundaries need to be clearest: a military planner needs to know where supplies are required, not who the recipients are.

Modelling requirement separately from beneficiary detail is what makes that boundary enforceable rather than aspirational. It is the same selective release problem that arises in coalition intelligence work, with higher stakes for the people in the data.

Before the event, not during it

Information sharing arrangements agreed during a crisis are agreed badly. The organisations that cooperate effectively in week one are the ones that spent time together in advance establishing what they would share, in what form and under what conditions. That preparatory work is unfunded, unglamorous and the single highest-return activity in the field.

AIC works on the governance and integration layer for multi-organisation data sharing, including the release controls that let partners act on information without over-sharing. Our PAL.NET SDK gives .NET teams typed access to Foundry and their own ontology.