Foudre AI · Private beta

Vintage intelligence for Bordeaux, grounded in real climate data.

Foudre scores any Left-Bank Bordeaux vintage 0–100 by fusing DEM-downscaled ERA5/SEAS5 climate, 1855-classed terroir, and live market evidence — every number traceable, every forecast carrying its uncertainty.

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61

1855-classed châteaux

1990–2026

ERA5 + SEAS5 climate

0.82–0.95

validation correlation (GST)

backtest-verified

What makes Foudre different

01

Real climate data

ERA5 (1990-2024), NASA POWER (2025) and the ECMWF SEAS5 seasonal ensemble (2026), DEM-downscaled to 61 château centroids. Validated against real weather stations.

02

Backtest verification

For any past vintage, predictions are checked against critic scores extracted from the public web (with source links). Not enough evidence? We say so — we don't guess.

03

Honest uncertainty

Forecasts are distributions (p5/p50/p95), not single numbers. Demo or degraded data is always flagged in the UI.

04

Two personas

Vineyard (operational risk: frost, harvest) and Trade (allocation, pricing) — one pipeline, role-aware outputs.

How it works

  1. 01

    Pick a château and a timeframe on the Bordeaux map.

  2. 02

    Agents gather climate, terroir, and public-web evidence in parallel.

  3. 03

    A schema-grounded score, its drivers, and recommendations appear.

  4. 04

    For past vintages, a backtest checks the prediction against reality.

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Foudre AI — vintage intelligence for Bordeaux, grounded in real climate data