Argentis offers the Food Security Risk Index (FSRI), an AI‑driven platform that aggregates production, movement, policy, and biosecurity data into a real‑time 0‑100 risk score for major crops and livestock. The system provides 7–21‑day early warnings, configurable tactical horizons, and geospatial alerts via dashboards and API, enabling commodity traders, insurers, policymakers, and large producers to anticipate disease, pest, climate, and trade disruptions.
Funding
Funding not disclosed
Founders
Product
Problem
Agricultural producers, commodity traders, insurers, and policymakers lack a unified, real‑time view of disease outbreaks, pest infestations, climate stresses, and trade disruptions that drive food‑supply volatility. Delayed or fragmented information forces reactive decisions, increasing the risk of crop loss, price spikes, and supply‑chain interruptions.
Solution
Argentis delivers the Food Security Risk Index (FSRI), a continuously updated composite score that aggregates production, movement, policy, and biosecurity signals for major crops and livestock. The platform applies AI‑enhanced monitoring to detect threats 7–21 days before they manifest, generating real‑time alerts with confidence levels. Users can view field‑level risk dashboards, drill down by region, and select tactical horizons of 5, 15, or 30 days to align hedging, inspection, or intervention strategies. By translating complex agronomic and market data into a single actionable metric (0–100), FSRI enables proactive risk mitigation and more precise decision‑making across the food‑security value chain.
Target Audience
Primary customers are commodity traders, agricultural insurers, and government agencies responsible for food‑security monitoring, as well as large‑scale producers seeking AI‑enabled early detection of crop threats.
Features
- Live composite FSRI score that quantifies outbreaks, pests, drought, and trade shocks into a 0‑100 risk metric
- Four macro‑driver layers (Production, Movement, Policy, Biosecurity) with configurable weighting
- Tactical horizon filters (5‑day, 15‑day, 30‑day) for short‑term hedging and operational planning
- AI‑driven early‑warning engine delivering 7‑21‑day advance notice with ≥90 % confidence on disease and pest events
- Real‑time alert feed (push notifications, email, API) with confidence scores and geospatial tagging
- Interactive dashboard showing field‑by‑field risk, regional heat maps, and driver breakdowns for crops such as corn, soy, wheat, cocoa, rice, and coffee
- Automated data ingestion from satellite imagery, weather stations, trade feeds, and epidemiological reports, reducing manual monitoring labor by up to 80 %
- Exportable analytics via RESTful API and CSV for integration with risk‑management, trading, and insurance platforms