About Acreweave

Built in Davis, CA — where agronomy meets data science.

Founded in 2022 at UC Davis Research Park. Self-funded from day one. Our team comes from field agronomy, geospatial research, and agricultural communications.

Why we built Acreweave

Hannah Petersen spent four years in UC Davis Plant Sciences doing field research on canopy reflectance and yield component analysis in row crops. She worked with growers across Yolo and Solano counties and watched the same pattern repeat every season: planting decisions made off the seed rep's calendar, nitrogen applications timed to the first dry week in June, and harvest scheduled on feel rather than on any field-level read of where GDD accumulation actually was.

The data to do better was already public. Sentinel-2 satellite imagery, SSURGO soil surveys, and ASOS weather station records are all free. The agronomic models for corn phenology and soybean pod-count estimation had been in the literature for two decades. What growers lacked was a system that fused all three into a practical per-field forecast — updated weekly, expressed in bushels per acre, readable without a GIS degree.

Acreweave was founded in October 2022. Tomás Reyes, who had spent six years building predictive yield tools at a California agricultural research institute, joined as co-founder. The 2023 season ran on 40 enrolled fields in Yolo County. After validating the mid-season forecasts against combine yield monitor data at harvest — within ±6 bu/ac on corn — the platform expanded to Midwest row crops in 2024.

We're self-funded from day one, operating on grower subscription revenue. That means our product roadmap is set by what growers find useful enough to renew — not by a funding narrative.

"Row-crop growers are incredibly data-aware. They track every input, every yield map. They just didn't have a reliable forecast of what the field was going to yield before the combine hit it. That's the gap we're filling."

Hannah Petersen, CEO & Co-Founder

2022

Founded, Davis CA

4 FTE

Small focused team

3.2M+

Acres modeled

Self-funded

Independently operated

How we work

Field-calibrated, not lab-calibrated

Every model update is validated against combine yield monitor data from enrolled fields after each harvest season. We don't publish an accuracy figure until it's been checked against actual cut numbers. When the model misses a field by more than the stated interval, we log it and investigate — that's how the model improves year over year.

Confidence intervals, not false precision

Every yield forecast comes with a ± bu/ac confidence interval, not just a single number. We show the range, the model inputs, and the accuracy history for your crop and region. A grower who understands the uncertainty makes a better replanting decision than one who believes a spuriously precise number.

Grower-direct. No channel markup.

We sell directly to growers and crop consultants — not through ag retailers, co-op channels, or carrier partnerships. That keeps the price transparent and keeps our incentives aligned with the grower's outcome. We are not a data aggregation business; we do not resell or pool grower field data.