Outbreak intelligence
built on verified data.
Global Health IQ fuses global health signals into one situational picture, labels every record by source and verification status, and calibrates its forecasts against confirmed outcomes. No synthetic data is ever presented as real.
Verified data in.
Calibrated intelligence out.
Provenance, verified-only forecasting, closed-loop calibration, and honest uncertainty are built into the architecture — so risk scores track evidence, never assumptions.
Source provenance on every record
Each signal is tagged confirmed, probable, suspected, or unverified. Case counts are never shown as confirmed unless the originating source confirms them.
Verified-only forecasting
Predictions calibrate exclusively on confirmed outcomes. Unverified or synthetic signals are excluded, so risk scores track evidence rather than noise.
Closed-loop calibration
Every forecast is logged to a Prediction Ledger and resolved against reality, so model confidence adjusts to what actually happened — not to assumptions.
Honest uncertainty
Missing weather, population, or feed data lowers confidence. It is never back-filled with estimates presented as fact.
One picture. Clear reasoning.
Briefings in a click.
The platform surfaces, explains, and benchmarks. People decide. Every output is built to be interrogated, exported, and trusted — drawn only from connected feeds.
Unified situational picture
One ranked view of active outbreaks across WHO regions, drawn from connected surveillance, climate, and reporting feeds.
Composite risk scoring with reasoning
Each risk figure comes with a “why this number” breakdown — contributing sources, their agreement, and a confidence band.
Event-based surveillance, always on
The manual EBS scan officers run, automated and continuous, with timeliness instrumented against the 7-1-7 standard.
One-click briefings
Turn the live picture into a shareable situation brief for command, partners, or leadership.
How it works
Substance over surface. A pipeline that turns source-tagged global signals into explained, benchmarked situational awareness — calibrated against confirmed outcomes, with honest uncertainty where data is missing.
Source-tagged signal fusion
WHO, CDC, ProMED, ECDC, national ministries, and climate/population datasets among 41+ in the integration model. A live subset streams now; each record carries its source and verification status.
24/7 event-based surveillance
Always-on event-based surveillance across connected feeds — nothing waits for a reporting window. Signal-to-awareness latency stays sub-minute on connected sources, varying by source cadence.
Closed-loop calibration
Every forecast is logged to a Prediction Ledger and resolved against confirmed outcomes. Composite risk weights hazard, exposure, vulnerability, and mobility — and recalibrates to what actually happened.
Full per-event study view
Epi curve, line list, transmission and contact structure, and the 7-1-7 timeliness assessment — all in one structured view. Built to drop into the systems your team already runs.
One platform.
Two operational layers.
An institutional console for agencies and governments. A free public awareness app for everyone. Verified data and honest uncertainty — at every level.
Global Health IQ
Institutional Console
An outbreak intelligence console for ministries, agencies, and command centers. One situational picture from connected feeds. Risk scoring with its reasoning attached. 24/7 event-based surveillance. The 7-1-7 bottleneck named.
One ranked view of active outbreaks across WHO regions, drawn from connected surveillance, climate, and reporting feeds
Detect in 7 days, notify in 1, respond in 7 — bottleneck named, days-to-milestone computed from the case timeline
Every risk figure ships with a why-this-number breakdown: contributing sources, their agreement, and a confidence band
Always-on event-based surveillance — nothing waits for a reporting window
Built for the organizations
that protect populations
Federal Health Agencies
Real-time situational awareness for HHS, CDC, and equivalent agencies. Fuse national syndromic surveillance, lab confirmations, and mobility data into a continuously updated operational picture.
Structured evaluation.
Measurable outcomes.
A phased pilot designed for procurement teams. Clear milestones, defined KPIs, and an after-action review framework.
Environment Deployment
Secure environment provisioning, data source connectivity, initial configuration, and team onboarding. Sovereign or cloud deployment per institutional requirements.
Live Validation
Parallel operation with existing surveillance. Signal fusion calibration, alert threshold tuning, and workflow integration with current analyst processes.
Precision & Latency Evaluation
Formal measurement against agreed KPIs: detection latency, false positive rate, analyst time savings, and decision-support accuracy metrics.
After-Action Review
Comprehensive evaluation report, capability gap analysis, ROI documentation, and continuation/expansion decision framework.
Procurement questions,
answered once.
Bring verifiable outbreak
intelligence to your team.
Talk to us about an institutional evaluation tailored to your region, mandate, and existing surveillance stack.