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DefenseFood

EU food-fraud vulnerability intelligence. Forty-three quantitative formulas score trade corridors using UN Comtrade, RASFF hazards, FAOSTAT, and Eurostat.

Data SystemsAI IntegrationCustom Software
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European food trade corridor with crates and a network risk dashboard
The brief

Challenge

Food fraud hides in trade networks and hazard patterns that spreadsheets cannot surface. Regulators needed defensible, reproducible risk scores.

The build

Approach

A Rust computational core with PyO3 bindings scoring 638 corridors across 60 nodes on commodity dependency, hazard intensity, trade anomalies, and network exposure, with live parameter reconfiguration.

Capacités

What it does

  • 43 formulas across 7 model groups
  • RASFF, Comtrade, FAOSTAT, and Eurostat ingestion
  • Corridor and network vulnerability scoring
  • Unit-tested against worked calculation examples

Food Fraud · Risk Intelligence · Trade Analytics

Attribution

Built by the founder

Engineered by Emmanuel Amankrah Kwofie, founder and CTO of Vinerals Technologies, at SASEL Lab, McGill University, with academic and industry partners across Canada, Europe, and Africa.

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