For biological, seed, crop-input and OEM companies — and agricultural retailers

Know which farms
to prioritize.

We identify and rank the farms where your products are most likely to fit, so your reps focus their time — without building the intelligence infrastructure yourselves.

100M+Acres of data
processed
50+Proprietary
data models
20+ yrsOf data and model
development
36AgTech
patents

The problem

Your reps have the territory. Nobody has the priority list.

Turning field data into a priority list usually means building the infrastructure yourself.

Build it yourself

  • Layers to license and maintain
  • A data team to hire first
  • Models to validate season by season
  • A roadmap measured in years

Run it on Corvian

  • Layers assembled across 100M+ acres
  • 50+ models, 20+ years of development
  • Ranked farm lists this season
  • Sharper targeting as results come in

What your team can finally ask

Five questions. One priority list.

Ranked farms for one product across a territory
Farms per product

Which farms fit this product?

One farm matched against the whole portfolio
Products per farm

What fits this farm?

A numbered call order for each rep
Rep priorities

Who should sales visit first?

Candidate trial locations across the geography
Trial sites

Where should we test next?

Existing accounts matched to other products
Cross-sell

What else fits existing customers?

How it works

From what’s validated to a ranked farm list.

Soil, weather, imagery, acreage and record layers feeding a central intelligence engine, which outputs a ranked list of farms
  1. 01

    Start with what worked

    The trials and fields where a product has already performed.

  2. 02

    Find similar farms

    Those conditions matched across soil, satellite, weather and acreage data.

  3. 03

    Prioritize sales

    A ranked farm list per rep, with the reasoning attached.

New field results fold back in, so prioritization sharpens each season.

The fastest way to see it is on your own product. One product, one target geography, ranked against the fields where it already performed.

Start a focused pilot

What a pilot looks like

Three questions. A shape for your pilot.

01

Products to place

02

Sales territories

03

Field data available

What’s underneath

The intelligence infrastructure, already built.

The part you’d otherwise spend two years assembling.

The intelligence layer stack: satellite, weather, acreage, historical, field-boundary and network and signal intelligence, converging on an intelligence core
The layer you’d have to build

50+ proprietary models, 100M+ acres already processed.

Field records, crops, operations, scouting, harvest, equipment and imagery — already assembled, joined and validated.

20+ yrsData and model development
36AgTech patents
3–5xFaster than in-house
Up to 50%Less than building it
Your product-performance data

Your validated fields set the reference for the ranking.

Soil intelligence

Measured and modelled, supported by Corvian’s own agricultural laboratory.

Satellite intelligence

Season-by-season crop performance, field by field.

Weather and acreage

Local climate history and crop acreage at field resolution.

Agronomic validation stays at the centre. Your team defines what counts as validated, and every ranking shows the evidence behind it.

Questions we get

Four questions we get every time.

Does Corvian predict that our product will perform on a specific farm?
No. Corvian identifies and ranks farms based on similarity to the agronomic conditions associated with validated product performance. The output is a prioritization signal for sales and technical teams, not a guarantee of product efficacy.
Why not build this ourselves?
You can — it means licensing and maintaining the layers, joining them to field boundaries, hiring the team, and validating models season by season before a single farm gets ranked. Corvian clients deploy 3–5x faster and spend up to 50% less.
What if our trial data is messy or incomplete?
Normal, and why a pilot starts with scoping. A handful of validated fields gives a usable signature; multi-year trials give a stronger one. We tell you what yours can support before anything runs.
How is this different from our CRM or territory plan?
A CRM records who you have talked to; a territory plan sets where reps go. This ranks the farms inside that geography by how closely they match the conditions where the product has already performed — and shows the reasoning, so your field team can overrule it.

Next step

Scope a pilot with your team

We’ll review what your existing field data can support before anything runs, and come back with what a ranked-farm pilot would cover.

Request a pilot scope

Get started

Start with a focused pilot

One product or use case, one target geography. Our team scopes what your field data can support, then we rank the farms for your sales team.

PRODUCT·1 selectedGEOGRAPHY·1 territory928884RANKED FARMS01Delorme Farms9202Kessler Ridge8803Prairie Sky Grain84
  • Scoped to your data — we define what the available trial and field data can support.
  • Ranked for your team — prioritized opportunities by product and geography.
  • Reviewed before scale — nothing expands until your team reviews the output.

Start a pilot conversation

Our team reviews every request.

Product Fit Pilot Request

Corvian may contact me about a pilot. We do not share your information with third parties.

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