Oct 9, 2026 · 16 min · 12 segments
Billions of dollars swing on a few key questions: How big is the crop, where is it thriving, and where is it under stress right now? We sit down with Gabby Nizri and David Shoaf of SatYield to unpack…
Sarah MuirheadHost
Joining us today to talk about what they're doing to rewrite the rules of market intelligence are Gabby Nesry and David Chef of SatYield.
Gabby, let's start by having you tell us a little bit about SatYield and the general services that, uh, your company provides.
After that, I wanted to apply what I have learned for many years in automation, data, and decision supports to significantly bring, uh, my experience to the physical world problem.
And agriculture stood out because it was one of the world's largest and the most important industries, but many critical decisions still depends on information that can be delayed, highly aggregated, or based on historical assumption.
So together with my co-founders, wow, a team of scientists, agronomists, engineers that are coming from remote sensing background, and AI of course, uh, we provide independent crop and physical supply intelligence.
We have satellite imagery, as you said, weather and soil data, and most importantly, we have biophysical crop models to estimate planted area, yield production, and how those, uh, expectation changes during the season.
The purpose is not to really bring, uh, imagery and to, uh, extrapolate images from satellite imagery.
It's actually to help buyers, merchandisers, analysts, risk managers to understand exactly what happening to the physical sup- supply and whether they have need to act immediately or not.
Joining us today to talk about what they're doing to rewrite the rules of market intelligence are Gabby Nesry and David Chef of SatYield.
Gabby, let's start by having you tell us a little bit about SatYield and the general services that, uh, your company provides.
After that, I wanted to apply what I have learned for many years in automation, data, and decision supports to significantly bring, uh, my experience to the physical world problem.
And agriculture stood out because it was one of the world's largest and the most important industries, but many critical decisions still depends on information that can be delayed, highly aggregated, or based on historical assumption.
So together with my co-founders, wow, a team of scientists, agronomists, engineers that are coming from remote sensing background, and AI of course, uh, we provide independent crop and physical supply intelligence.
We have satellite imagery, as you said, weather and soil data, and most importantly, we have biophysical crop models to estimate planted area, yield production, and how those, uh, expectation changes during the season.
The purpose is not to really bring, uh, imagery and to, uh, extrapolate images from satellite imagery.
It's actually to help buyers, merchandisers, analysts, risk managers to understand exactly what happening to the physical sup- supply and whether they have need to act immediately or not.
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