AGCO Invests in Apex.AI, a Developer of Safety-Certified Software for Mobility and Autonomous Applications

Dec 15, 2021

AGCO, Your Agriculture Company, (NYSE:AGCO), a worldwide manufacturer and distributor of agricultural machinery and precision ag technology, announced that it has made a 2.53% equity investment in Apex.AI, an emerging leader in safety-certified software for mobility and driverless vehicles.

Apex.AI has differentiated itself with its software products by making it possible and easier for solutions providers to implement safety critical software into on-road and off-road vehicles. Based on proven open-source software, Apex.AI’s software enables its customers to focus on developing value adding applications, while Apex.AI provides a strong development infrastructure. With a focus on enabling driverless vehicles, Apex.AI launched its first award-winning product Apex.OS in 2020 and achieved functional safety certification in record time. Since then, Apex.AI also has launched its Apex.Middleware product, which integrates all vehicle communication needs and enables the future deployments of semi-autonomous or driverless vehicles.

“AGCO’s investment in Apex.AI further demonstrates our commitment to developing value-adding solutions for our customers that adhere to the most stringent standards and reliability requirements,” said Eric Hansotia, AGCO’s Chairman, President and Chief Executive Officer.

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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.