About SoilMetrix

The Problem

Growers have more data than ever. Soil tests, yield maps, satellite imagery, weather feeds. But it's scattered across dozens of tools with no way to aggregate, synthesize, or apply it when it matters. Prescriptions stay uniform. Fields stay variable. Progress is hard to measure.

Advisors face the same problem at scale. Farm management platforms, precision ag hardware, and soil testing services each capture a piece of the picture. None of them connect the full loop: what was recommended, what was applied, whether it worked, and what to do next.

Our Approach

SoilMetrix was founded in 2018 to commercialize patented soil mapping research from NC State University and Iowa State University. The core technology creates high-resolution management zones, at 3×3 meter pixel resolution, using machine learning applied to remote sensing, soil survey data, and geospatial analytics. Zones that traditionally take weeks of manual sampling can be generated on demand.

On top of this foundation, we're building three products:

• Field Hand™: an AI agronomist agent that knows your fields, your plans, and your soil history. Proactive briefings and on-demand prescriptions, not generic chatbot answers.
• Smart Zones™: precision zone mapping with variable-rate prescriptions, continuous fertility monitoring, and multi-year improvement plans. Every recommendation traces back to its source.
• Field Log™: a permanent, verifiable record of everything that happens on a field. Soil tests, applications, plan changes, all recorded with provenance. Field Fax™ verified reports give landlords, lenders, and buyers confidence in a field's management history.

The Science

Our zone mapping technology is patented and originates from two university research programs:

• Iowa State University: Dr. Bradley Miller's Geospatial Laboratory for Soil Informatics, which pioneered digital soil mapping techniques using cloud computing, AI, and remote sensing to characterize soil variability across millions of acres.
• NC State University: Dr. Jeffrey White's research in site-specific soil fertility and precision agriculture, leveraging ground-penetrating radar, electromagnetic induction, and satellite remote sensing in collaboration with NASA, EPA, and USDA.

This isn't a wrapper on a foundation model. The ML pipeline trains soil-specific models on real field data (soil samples, zone delineations, nutrient predictions) and generates prescriptions that are VRA-ready for equipment monitors.

The Market

Precision agriculture is a $7B+ market growing at 13% annually. But most precision ag tools stop at data collection. SoilMetrix closes the loop: from data to plan to prescription to verification.

• Growers who want a living plan for every field, with measurable progress, not just recommendations.
• Advisors who need to manage 50+ client accounts efficiently, with templates, cross-client dashboards, and full attribution.
• Labs whose soil analyses gain spatial and temporal context through the platform. SoilMetrix turns point-in-time test results into zone-level intelligence and continuous monitoring, keeping growers engaged between testing cycles.

The platform works for a single grower and scales for an advisory practice. That's the design constraint we build around.

We also see near-term opportunity in crop insurance, where our zone-level data and verified field history can support faster quoting and virtual scouting.

Where We Are

SoilMetrix is in private beta with a small group of growers and advisors. The platform is live, the ML pipeline is running, and we're iterating on the product with real users and real field data.

We're based in Austin, TX.