Intelligence at the Edge

Turn crop imagery into precise, in-field decisions.

Applied Inference reads your crop where it grows — catching disease before it shows, mapping nutrient gaps, and forecasting yield ahead of harvest.

✓ No GPU ✓ No internet

See How It Works →

The opportunity

Three data gaps. Billions in opportunity.

Agriculture makes million-dollar calls on incomplete information. Close three gaps and the math changes.

The losses are preventable. The upside is everything you can finally see in time to act on.

The turn

Read your crop in the field — no signal required.

Point a camera — phone, drone, tractor, or satellite — and Applied Inference analyzes the image on the spot. The intelligence runs on the device, so it keeps working when connectivity doesn't.

Detect · Act · Predict

Catch disease, map nutrients, and forecast yield — right in the field.

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Who we serve

One platform, four fronts.

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Impact

The payoff of seeing more, sooner.

The Platform

Edge AI, built for the field.

Most agricultural AI lives in the cloud and quits the moment it loses signal. Ours runs on the device, where the crop is. Here's how.

What it is

Crop intelligence that runs in the field, not the cloud.

Applied Inference reads a crop image and returns an answer — disease present, nutrients short, yield trending — at the point of capture.

“At the edge” means the model runs locally, on the device in your hand or on your machine, instead of shipping data to a distant server and waiting on a reply that never arrives when the signal drops. That single design choice is what separates AI that works in a connected office from AI that works in a back field with no bars.

How it works

Three steps, image to answer.

The edge advantage

Why it holds up in real conditions.

Capabilities

What it reads from a single image.

One capture. Four kinds of intelligence — all returned in the field.

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Works with what you have

No rip-and-replace.

The platform fits the tools already in the field — phones, drones, satellites, and the cameras on sprayers and autonomous machines. For manufacturers, the intelligence embeds directly into the equipment, powering dynamic spraying and camera-based scouting with no added hardware around it.

Building it into equipment? → Who We Serve

Credibility

Field-proven, not lab-only.

The technology is licensed from Clemson University, built on $2.5M+ in R&D and more than a decade of real field data. The models were trained and validated on actual crops in actual fields — which is exactly why they hold up in them.

Clemson-licensed $2.5M+ R&D 10+ years of field data

Who We Serve

One platform, four fronts.

Applied Inference reads crops in the field and turns that into decisions each part of agriculture can act on. Find your role below.

The result

Connect

Closing agriculture's critical data gaps.

AI that works where the crops are — offline, on tools you already own.

Mission

Farming shouldn't run on guesswork.

Every season, agriculture loses billions to problems that were, in principle, visible: disease spotted too late, nutrients spent where they couldn't help, yield estimated instead of known. The information was there. It just wasn't readable in time, in the field, where the decision got made.

We built Applied Inference to close that gap — reliable, proof-backed intelligence, on the ground, in-season, with no connection required. Not to replace the judgment of the people who work the land, but to sharpen it.

The technology

Built in the field, not just the lab.

Our platform runs on AI technology licensed from Clemson University, backed by $2.5M+ in R&D and more than ten years of real field data. That heritage is the whole point: the models were built and validated on the messy reality of real crops, not tidy lab conditions — which is why they run at the edge, on minimal training data, with no GPU and no internet. Real fields don't come with reliable signal, so we built for the field as it is.

Who we serve

Serving high-value agriculture, end to end.

We work across the value chain — specialty and commodity growers, equipment and OEM manufacturers, agronomists, co-ops, ag-input companies, and the crop insurers and lenders who help carry the sector's risk. One platform, read differently by each.

Explore Who We Serve →

Contact

See it read a field.

The best way to understand what Applied Inference does is to watch it work. Book a walkthrough — disease detection, nutrient mapping, and yield forecasting on real crop imagery — and we'll talk through what it looks like in your operation.

Turn crop imagery into precise, in-field decisions.

Three data gaps. Billions in opportunity.

Read your crop in the field — no signal required.

Catch disease, map nutrients, and forecast yield — right in the field.

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One platform, four fronts.

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The payoff of seeing more, sooner.

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Edge AI, built for the field.

Crop intelligence that runs in the field, not the cloud.

Three steps, image to answer.

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Why it holds up in real conditions.

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What it reads from a single image.

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No rip-and-replace.

Field-proven, not lab-only.

One platform, four fronts.

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Closing agriculture's critical data gaps.

Farming shouldn't run on guesswork.

Built in the field, not just the lab.

Serving high-value agriculture, end to end.

See it read a field.

Watch it read your crop.