Tractor Zoom Announces $5 Million in Series A Funding

Oct 06, 2022

Tractor Zoom, a data company that helps people find and value farm equipment, announced Oct. 3 the completion of a $5 million dollar Series A funding round. The oversubscribed funding round, which was co-led by Builders VC of San Francisco, Calif., and Bienville Capital of New York, N.Y., will allow the company to make significant investments in product innovation and data science to continue connecting its users to the information they need to make more informed buying decisions.

Additional participation in the Series A funding round came from Next Level Ventures and Wintrust Ventures, as well as follow-on from existing investors Innova Memphis, HPA, ISA Ventures, Ag Ventures Alliance, and strategic angel investors.

Since receiving $3 million in funding in 2020, Tractor Zoom has added over 1,450 equipment suppliers to its marketing platform and grown its user base by 400%. Additionally, the data and insights Tractor Zoom provides to its users on heavy equipment is now powered by over $20 billion in equipment sales, a 14x increase from 2020.

Source : Farm Equipment

Video: Seeing the Whole Season: How Continuous Crop Modeling Is Changing Breeding

Plant breeding has long been shaped by snapshots. A walk through a plot. A single set of notes. A yield check at the end of the season. But crops do not grow in moments. They change every day.

In this conversation, Gary Nijak of AerialPLOT explains how continuous crop modeling is changing the way breeders see, measure, and select plants by capturing growth, stress, and recovery across the entire season, not just at isolated points in time.

Nijak breaks down why point-in-time observations can miss critical performance signals, how repeated, season-long data collection removes the human bottleneck in breeding, and what becomes possible when every plot is treated as a living data set. He also explores how continuous modeling allows breeding programs to move beyond vague descriptors and toward measurable, repeatable insights that connect directly to on-farm outcomes.

This conversation explores:

• What continuous crop modeling is and how it works

• Why traditional field observations fall short over a full growing season

• How scale and repeated measurement change breeding decisions

• What “digital twins” of plots mean for selection and performance

• Why data, not hardware, is driving the next shift in breeding innovation As data-driven breeding moves from research into real-world programs, this discussion offers a clear look at how seeing the whole season is reshaping value for breeders, seed companies, and farmers, and why this may be only the beginning.