Better nutrient decisions start with the full agronomic picture

Know what your crop needs.Make every input decision count.

SoilBeat helps growers and agronomists optimize nutrient and input management by connecting crop measurements, field observations, activities and growing history into one agronomic picture.

Understand what is limiting performance, improve nutrient uptake, reduce unnecessary input costs and turn expert recommendations into clear actions.

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For growers, agronomists and advisory organizations.

Agricultural landscape showing productive crop growing systems

SoilBeat agronomic decision and recommendation interface

Agronomist working with crops in the field

Built for the people making agronomic decisions

Better input decisions for growers. Better recommendations for agronomists.

SoilBeat connects the agronomic picture behind every recommendation — so growers can make more confident input decisions, while agronomists can give better advice with less repetitive work.

For growers

Know what your crop needs — and what to do next.

SoilBeat helps you understand the agronomic need behind your inputs, so you can spend more wisely, improve nutrient uptake and support stronger, more resilient crops.

Bring your crop measurements, observations, activities and growing history together. See the context behind recommendations, understand what needs attention and keep the resulting work connected with your agronomist.

Spend smarter

Improve uptake

Build resilience

Stay in control

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For agronomists

Better recommendations. Less admin. More time for agronomy.

SoilBeat helps you bring more of the agronomic context into every recommendation while reducing the repetitive work around it.

Connect measurements, observations, activities and growing history. Spend less time collecting reports, rebuilding context and preparing recommendations — and more time applying your expertise.

Better recommendations

Save time

Work better with growers

Scale expertise

Explore SoilBeat for agronomists

For growers across production systems

Built for the way you actually grow.

Whether you're managing an orchard, greenhouse, vineyard, dairy and forage operation, nut crop or row-crop business, SoilBeat helps you make nutrient and input decisions in the context of your own growing system.

OrchardsHorticultureGreenhouseVineyardsNut cropsDairy & forageRow cropsTree nurseries

Different crops. Different growing systems. The same need: know what the crop needs and make every input decision count.

See how SoilBeat fits your advisory workflow.

Start using SoilBeat now, or talk to us about your team, recommendation process and specialist agronomic workflows.

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Why better input decisions are hard

Your crop doesn't grow from one number.

Crop performance depends on many things at once: nutrient availability, plant uptake, water, soil or substrate conditions, crop stage, previous applications, field observations and growing history.

What we can measure

Soil analysis

Plant sap

Tissue analysis

Water

Field observations

Activities

What the decision needs

1Nutrient need

2Uptake

3Input choice

4Action

Context turns measurements into a decision.

What does the crop need?

Measurements show what is there. They don't always explain what the crop can use. Soil, sap, tissue, water and other measurements each tell part of the story.

Which inputs will actually help?

More input isn't necessarily better input. The goal is to match nutrient and crop-management decisions to the actual need — improving uptake efficiency, reducing unnecessary cost and supporting crop resilience and soil health.

What happens next?

A recommendation only creates value when it becomes the right work in the field. Applications, observations and follow-up should create better context for the next decision.

The full agronomic picture changes the quality of the decision.

SoilBeat connects the evidence, context and agronomic intelligence needed to make better nutrient and input decisions — and keep improving them over time.

See how SoilBeat connects the picture

How SoilBeat works

From evidence to action — and back again.

Better input decisions are not a single calculation. SoilBeat connects measurement, interpretation, recommendation, execution and follow-up so every decision has the context it needs.

01 / Measure

What evidence do we have?

Bring the evidence together.

Lab results, plant measurements, water data, observations, activities and growing history become part of a structured record.

Each cycle adds context instead of starting over.

See how SoilBeat fits your advisory workflow.

Start using SoilBeat now, or talk to us about your team, recommendation process and specialist agronomic workflows.

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Built for agronomy, not just answers

AI is more useful when it understands the whole agronomic picture.

Generic AI can help you explore information or answer a question. But an agronomic recommendation depends on more than the information in a single conversation. It needs the right measurements, crop and field context, growing history, agronomic logic and what happened afterwards.

Generic AI

Prompt → information → answer

Context supplied in the conversation

The answer depends on the context provided at that moment.

Useful for exploring information, asking questions and generating explanations. But the context depends on what you provide in that interaction.

SoilBeat

Structured evidence → agronomic context → intelligence → recommendation → action

Measurements

Crop & field

Growing history

Activities

Observations

Agronomic logic

SoilBeat keeps the evidence connected to the crop, field and growing history. Its agronomic intelligence can then work with that context to help prepare recommendations that remain connected to execution.

The difference isn't AI. It's the agronomic context around it.

AI helps with the work. The agronomist owns the recommendation.

SoilBeat can help gather context, investigate patterns and prepare recommendations. The agronomist reviews, edits, approves and publishes the final advice.

See why SoilBeat is different

Used in real agronomic work

Less time rebuilding the picture. More time acting on it.

Customer result

50%

less time spent on recommendations

“If regenerative agronomy is going to scale, we need this kind of structured data infrastructure underneath it.”

Jason Hobson
Crop Advisor, TerraVita · USA

“A program where we can put our knowledge in — and get something back.”

Rene Jochems
Crop Advisor, GroeiBalans · Netherlands

“Very important to get access to actionable, data-driven fertilisation advice myself.”

Stephen Hatton
Potato Farmer · USA

5,000+lab reports processed

100+lab formats supported