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Two field technicians installing a solar-powered IoT soil sensor in a crop row
Innovation

Where agriculture research meets applied engineering

Our R&D team works from the field backward — every model and sensor starts with a real problem a partner farm is facing.

Our Stack

The technology powering every deployment

A layered system of sensing, imagery, compute, and automation working together in the field.

40+

Models in production

Machine Learning & AI

Custom-trained models for crop-health detection, yield forecasting, and anomaly alerts.

18,000+

Active field sensors

IoT Sensor Networks

Low-power soil, weather, and equipment sensors built for years of unattended field operation.

2.4M

Acres imaged per season

Drone & Satellite Imagery

Multispectral capture pipelines that turn raw imagery into ready-to-use field maps.

99.9%

Platform uptime

Cloud & Edge Computing

Hybrid processing that keeps critical automation running even with limited connectivity.

200+

Retail partners connected

Blockchain Traceability

Immutable lot-level records connecting field activity to packing, shipping, and retail.

40+

Machines automated

Robotics & Automation

GPS-guided machinery integrations and autonomous routines for planting, spraying, and harvest.

R&D Process

From research question to field deployment

Every tool we ship has run at least one full season on a partner farm before wider release.

01

Research

We study the agronomy and operational constraints behind a problem before writing a line of code.

02

Prototype

Small, fast builds get tested against real field conditions, not just simulated data.

03

Field Trial

Partner farms run the system alongside their existing practices for at least one full season.

04

Deploy

Validated tools roll out with hands-on setup support from our field operations team.

05

Optimize

Models and hardware keep improving using performance data fed back from every deployment.

What's Next

On the research roadmap

A look at what our R&D team is actively prototyping for upcoming seasons.

In R&D

Autonomous Micro-Drones

Self-deploying scouting drones that launch on schedule without an operator on site.

In R&D

Edge AI Inference

On-device crop-health models that work reliably even with limited connectivity.

In R&D

Predictive Water Markets

Models that forecast regional water allocation shifts months ahead of season.

Let's Talk

Interested in piloting new technology on your farm?

We're always looking for partner farms to help test the next generation of agtech tools.