Satellite imagery is everywhere in agricultural markets. Hedge funds, commodity desks, quants, and researchers all talk about it. Models get more complex. Accuracy metrics improve. Yet when markets move the fastest, many yield forecasts still fail to matter.

In modern commodity markets, advantage is no longer defined by who has access to more information. It is defined by who reaches clarity sooner.

Explore Brazil’s soybean outlook through the lens of high-frequency satellite data, digital crop twins, and early-season signals, highlighting why traditional reporting frameworks are increasingly insufficient in fast-moving commodity markets.

In today’s AI landscape, the only sustainable source of alpha is information asymmetry: insight built on data others do not have and cannot easily replicate. SatYield is engineered around that principle.

When global satellite observations, high-resolution weather intelligence, and scalable crop simulations converge, they produce something agriculture has never truly had before: billions of structured observations generated inside a single growing season, refined into timely, accurate in-season yield forecasting.

In this environment, navigating agricultural markets during reporting outages is no longer optional. It is a core capability for alt-data teams, risk managers, traders, and procurement leads who cannot afford to wait for official numbers to return.

Frontier regions are becoming meaningful contributors, and their sudden jumps in output can reshape expectations long before the major producers report their own numbers. Monitoring these zones early is no longer optional. It is becoming a strategic necessity.

Thanks to the rise of the crop digital twin, what was once aspirational is now actionable and the gap between field performance and finance is finally closing.

the launch of Sentinel-1D marks a shift toward decision-ready intelligence that delivers value far beyond imagery.

For decades, agricultural forecasting has been built on historical yield trends that the past can reliably predict the future. Fit a line through historical yields, extend it forward, and you have a “trend.” For much of the modern era, this approach offered stability, or at least the appearance of it.

SatYield is headed to Geneva and is proud to announce its official partnership with Global Grain Geneva 2025, the world’s premier event for the grain and oilseed markets, taking place November 10–13, 2025 in Geneva, Switzerland.

By combining satellite imagery, ground-truth data, and cryptographic provenance, it turns uncertainty into opportunity, delivering the kind of trusted insights that help traders act decisively, even when official data goes dark.

In a F1 team, victory requires the perfect synergy of people, platform, and predictive intelligence. The same principle applies to systematic trading in Agricultural Commodities.

The challenge is turning what exists into consistent alpha before competitors do. That shift has completely changed how investment firms think about data sourcing and why outsourcing is no longer a luxury but a necessity.

In today's markets, the challenge is turning raw noise into consistent alpha before competitors do. That’s why alternative data has become a cornerstone of modern investment strategies, from hedge funds to ag commodity desks.

SatYield’s independent satellite-based crop models provide a crucial counterpoint to USDA reports.

SatYield is flipping the paradigm. Instead of simply observing crops, we simulate them. The result: a move from lagging, noisy indicators to leading, actionable signals that align trading decisions with the biological reality of crops in the ground.

The SatYield Live Report is a continuously updating view of the U.S. corn and soy crops powered by satellite imagery, weather modeling, and crop science.

SatYield has been awarded U.S. Patent for Core Yield Estimation Technology

As of midsummer 2025, the U.S. corn and soybean yield narrative is as fractured as it’s ever been and yield estimates are all over the board.