Two live AI products, one mission

SCIP gives frontline health workers instant, cited answers instead of a stack of paper protocols — grounded in 109 validated Ethiopian and WHO clinical guidelines, so every answer traces back to a real source rather than a guess.

It's built for the point of care: a health worker asks a clinical question in the moment, and SCIP returns a guideline-based answer, not a generic search result.

Degdeg closes three gaps that keep strong early-warning science from reaching the people who need to act: forecasts rarely reach woreda health offices in a form they can act on; a rainfall anomaly map doesn't tell a health officer to expect a cholera risk window in flood-hit kebeles; and even when warnings arrive, nothing converts them into a protocol-based preparedness checklist.

The platform runs a four-stage AI pipeline — Interpret, Anticipate, Advise, Approve. It reads 14-day climate forecasts and disaster bulletins to produce a graded hazard assessment, checks that assessment against 15 vetted climate-to-health impact rules, drafts advisories in Somali and English (WhatsApp message, radio script, official memo) grounded only in cited risks — and publishes nothing automatically. Every advisory is reviewed and approved by a health officer before it reaches a woreda.

First deployed across 100 woredas in the Somali Region, built to scale nationally — grounded in 8 WHO and national protocol sources with ~2,000 indexed protocol passages.