Data & intelligence built for agriculture

Field-tested technology. Enterprise-ready intelligence.

Corvian has spent more than 20 years building the data, tools and agricultural expertise to understand what happens in the field—and turn it into information enterprises can use at scale.

Built in agriculture · delivered for enterprise 01 → 04
01
Connect real field activityGrowers · equipment · soil · imagery
02
Build reliable contextFields · seasons · practices · outcomes
03
Apply agricultural modelsDomain expertise · quality checks · analysis
04
Deliver usable intelligenceAPIs · applications · reporting · decisions
One connected foundation across agricultural and enterprise programs.
36AgTech patents
100+Agricultural tools developed
50Agricultural data models
100M+Acres of data processed
Why work with Corvian

We understand the field behind the data.

Agricultural data is difficult because every record has context: the crop, the field boundary, the season, the machine, the practice and the people involved. A number without that context can be misleading.

Corvian brings together technology built for agricultural workflows and experience gained through real grower and enterprise programs. Our tools have been used to collect, connect and interpret field information across millions of acres. That foundation helps us know which records to trust, which gaps to investigate and how to deliver useful answers.

Get to know Corvian →
Built for the field

Agriculture is in the architecture.

Our technology is organized around growers, farms, fields, crops and seasons—the relationships that make agricultural information meaningful.

Tested in use

Developed through real workflows.

Experience with onboarding, agronomy, equipment connections and enterprise delivery informs how we design and refine the tools.

Ready to scale

Designed for enterprise questions.

We turn field records into structured outputs that can support portfolios, supply chains, products and reporting across large programs.

The depth of our data

More than a dataset. A connected picture of agricultural activity.

We bring together available data from the field, machines, laboratories, imagery, partners and enterprise systems. The field and growing season provide the common reference point, so different records can be analyzed together.

Aerial view of agricultural fields
01 / FIELD FOUNDATION

Growers, farms & fields

Boundaries, acreage, crop assignments, seasonal history and grower participation connect each observation to a real place.

Farm machinery working across a field
02 / OPERATIONS

Crops, practices & equipment

Planting, inputs, field activities, machine files, telematics and supported ISOBUS-derived records show what happened and when.

Cultivated farmland from above
03 / OBSERVATION

Scouting, imagery & yield

Geolocated observations, remote sensing, harvest and production records reveal conditions and outcomes across seasons.

Crops growing across an agricultural landscape
04 / CONTEXT

Soil, weather & enterprise data

Lab results, environmental conditions, supplier records and program data connect field activity to business needs.

See how we onboard growers and field data →

Available sources vary by program, integrations, equipment and permissions.

The technology behind it

Built to connect records that were never designed to work together.

FarmCommand, data connectors, partner integrations and guided onboarding help bring information in. Our platform then organizes it by grower, farm, field and season so activity from different sources can be compared.

That connected structure supports licensing, branded applications and custom development. It also means a new use case can draw on an established agricultural foundation instead of starting from a disconnected spreadsheet.

Explore our partner ecosystem →
Data collection and onboardingGrower participation, digital records and guided gap filling
Connected field architectureBoundaries, seasons, crops, practices and outcomes
Equipment and partner integrationsMachine data, telematics, laboratories and external systems
Enterprise deliveryModels, APIs, dashboards, applications and reporting workflows
Why our models are useful

Better inputs. Better context. More defensible analysis.

Agricultural models become more useful when they are grounded in field-level evidence and checked against the conditions they are meant to describe. Our process connects records, identifies gaps and applies domain knowledge before an output reaches a business decision.

01 / CONNECT

Bring sources together

Combine available grower, equipment, soil, weather, imagery and enterprise information.

02 / STRUCTURE

Keep place and time

Relate every usable record to the right field, crop and growing season.

03 / CHECK

Review data quality

Flag missing values, mismatches and exceptions; collect or validate evidence where needed.

04 / INTERPRET

Apply agricultural expertise

Use models, spatial analysis and field experience to produce outputs suited to the question.

Our 50 agricultural data models draw on a connected record of fields, crops, operations, observations and outcomes. Model fit and validation depend on the available evidence and the specific use case.
Explore our data models ↗
Our background

More than 20 years building agricultural technology.

Corvian's foundation grew from working with growers and agricultural organizations: digitizing field activity, supporting agronomy, connecting equipment and building ways to manage complex operations.

That work has produced 36 AgTech patents, more than 100 tools and 50 agricultural data models. With data processed across more than 100 million acres, we bring experience in both the realities of field collection and the requirements of enterprise-scale programs.

Learn about Corvian →
Explore use cases

One intelligence foundation. Many enterprise questions.

The value comes from applying the right field evidence and models to the decision your team needs to make.

Suppliers & CPGs

Verify sourcing and Scope 3.

Connect grower participation, sourcing regions, practices and field evidence to reporting and assurance.

Explore Scope 3 →
Beverage & ingredients

Understand the origin of supply.

Link crops, suppliers and field activity across ingredient sourcing networks.

Explore sourcing →
Insurance & lending

See risk across a portfolio.

Bring field history, crop conditions and in-season signals into monitoring and review workflows.

Explore risk intelligence →
Fuel & carbon

Connect practices to outcomes.

Organize field-level crop and practice records for carbon intensity and feedstock programs.

Explore 45Z →
Ag retail & agronomy

Put field information to work.

Connect planning, scouting, soil results and operational records to support service and grower programs.

Explore agronomy →
Managed farmland

Understand land performance.

Use field history, operations and outcomes to support visibility across managed acres.

Explore managed farmland →
Ways to work with us

Bring this intelligence into your business.

Start with an existing capability, bring technology under your own brand or build around a specific enterprise need.

01 / INTEGRATE

License our technology

Access agricultural models, software and workflows for use in your products and operations.

Explore licensing →
02 / BRAND

White-label the experience

Give your teams and customers an agricultural application or portal under your brand.

Explore white-labeling →
03 / BUILD

Develop for your use case

Create an integration, application or workflow around the data and decisions that matter to you.

Explore custom development →
Start with your question

What will you build with better agricultural intelligence?

Tell us the decision you need to make, the records you have and where the gaps are. We'll map the data, models and delivery path that fit.

Connect with our team ↗
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