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Operational allocation intelligence

Where is global health funding leaving lives unprotected?

Ask anything about funding gaps, cost-effectiveness, or delivery readiness — answers cross five evidence layers and cite real evidence, DHIS2 data, and current sources.

Try:

109

Countries

197

Interventions

58,234

Funding flows

9,147

Effect estimates

408,988

Evidence chunks

Start with an action

Estimate an intervention

Cost, evidence, and delivery readiness for one intervention in one country.

Explore a country

Burden, funding, active signals, and coverage gaps for any country.

Monitor signals

Funding cliffs, burden spikes, and emerging opportunities as they surface.

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Rank interventions and countries side by side across every data layer.

Live signal

live

Burden spikeopportunity 97

TB burden in Kiribati spiked 2.08 standard deviations above baseline amid severe TB-sector funding decline of 78.83%

View signal →

Purpose-built tools

Explore freely - log in when you’re ready to build.

Cost-effectiveness

Compare cost per outcome across four sources, with full provenance.

Proposal development

Draft evidence-backed proposal sections with citations and budgets.

Prioritization engine

Rank interventions with your own weights and feasibility gates.

RMET

Upload your fiscal data to sharpen every estimate with real figures.

Investment case builder

Build costed, multi-intervention cases with allocation plans.