SatYield fuses multispectral satellite imagery, weather and soil data with digital crop twins to generate market signals 60–90 days ahead of traditional reporting cycles — built for portfolio managers, commodity traders and agricultural insurers.
The Engine combines 36-band multispectral satellite imagery with weather data, soil information and digital crop-twin simulations — revealing yield signals invisible to the naked eye, at 10-meter resolution, refreshed weekly.
36 spectral bands of satellite data across monitored crop regions, refreshed on a weekly cadence.
Simulated field-level models fused with weather and soil data to estimate yield before harvest.
Sub-state granularity signals delivered 60–90 days ahead of USDA WASDE and 3–6 weeks ahead of CONAB.
SatYield is built for the people who move on commodity signals before they're public — portfolio managers, commodity traders, hedge fund analysts, quantitative researchers, and agricultural insurers pricing risk ahead of harvest.
The pipeline behind every SatYield data point, from raw imagery to a delivered market signal.
36-band multispectral satellite imagery collected weekly across monitored crop regions.
Imagery combined with weather and soil data to feed field-level digital crop-twin simulations.
Digital twins generate yield estimates at 10-meter resolution, validated against historical backtests.
Signals reach desks 60–90 days ahead of USDA WASDE, 3–6 weeks ahead of Brazil's CONAB.
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"The lead time versus WASDE alone is worth the seat — we're positioning weeks earlier than desks running on public data."
"Field-level accuracy held up better than we expected against our own agronomy team's estimates."
"We use it to sanity-check underwriting assumptions before CONAB even publishes."