Case Studies
Real deployments. Measurable results.
Each engagement below is a full deployment — from data ingestion to live operations. No demos, no proofs of concept.

Humanitarian · Crisis Response Tech
Global·2026
Faraja: Crowdsourced Crisis Damage Assessment
UNDP's RAPIDA methodology delivers early recovery insight from satellite imagery, night-light data, and social media — but ground-level, structured field data still takes days to arrive. Kaistrum built Faraja to close that gap: an open-source, end-to-end platform that lets communities submit geolocated, AI-triaged damage reports over a mobile app or WhatsApp within 72 hours of a sudden-onset disaster, in all six official UN languages, fully offline-capable.
- 90.2% AI damage-severity accuracy (MEDIC-trained)
- 500,000+ report capacity per crisis
- All 6 UN languages, including RTL Arabic
- Mobile PWA + WhatsApp — zero app install
Ready to be the next case study?
Tell us about your geospatial challenge and we'll scope a deployment.