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When the stakes are humanitarian, there is no tolerance for a map that lies.

NGOs operate in the most demanding GIS environments on earth — low connectivity, multi-language teams, tight resources, and decisions that affect lives. Kaistrum builds tools that work where it counts.

72hr

rapid deployment capability

Offline

first field tools

6

UN languages supported

The challenge

What makes ngos & non-profits hard.

01

Resource constraints

NGOs rarely have dedicated GIS staff — tools must be simple enough for field workers with minimal training to collect reliable spatial data.

02

Crisis deployment speed

Needs assessment must begin within 72 hours of a crisis event. Weeks-long GIS setup cycles are not compatible with humanitarian timelines.

03

Low connectivity environments

Field teams operate in environments where internet connectivity is unreliable or entirely absent — GIS tools must work offline.

04

Multi-language operations

Teams and affected communities span many languages — data collection interfaces and outputs must be localised without long translation cycles.

Humanitarian field data collection — community mapping

Our approach

What Kaistrum delivers.

Simple, deployable field collection

Field data collection tools configurable without GIS expertise — survey forms, GPS capture, and photo documentation in a single app.

Rapid deployment frameworks

Pre-configured assessment templates and basemap packages that can be deployed within hours of a crisis event.

Offline-first mobile apps

Fully functional in zero-connectivity environments — data is stored locally and synchronised when connectivity is restored.

AI-assisted translation

Multilingual data collection interfaces with AI-assisted translation of free-text descriptions for standardised analysis.

Crisis damage assessment dashboard

Applications

In practice.

Community needs assessment

Structured field surveys capturing household-level needs with GPS location, photo evidence, and structured classification — syncing to a central dashboard.

Crisis damage mapping

Rapid building damage classification using community-submitted photos and GPS locations, validated against satellite imagery.

Aid distribution planning

GIS-optimised distribution routes and point-of-distribution siting based on population concentration and accessibility analysis.

Population movement tracking

Spatial analysis of displacement patterns from field registration data — showing origin, destination, and movement corridors.

Programme impact mapping

Before-and-after spatial analysis quantifying the geographic reach and coverage of programme interventions.

Get started

Ready to deploy GIS for ngos & non-profits?

Tell us about your organisation and requirements. We will respond within one business day.