Case Studies

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Each engagement below is a full deployment — from data ingestion to live operations. No demos, no proofs of concept.

Faraja: Crowdsourced Crisis Damage Assessment
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
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