Six modules on one spatial platform API

Architecture and build for an agricultural land intelligence platform covering field records, weed management, parcel data, cattle, grants, and co-op ordering, with growers and agronomists working from the same ground truth.

Client
LandAlytics LLC · FieldWize
Period
2026
Our role
Platform architecture, infrastructure, build
Built with
Python, FastAPI, PostGIS

The problem

Agricultural software fragments by function. Field records live in one product, weed management in another, parcel data in a county portal, cattle in a notebook, grant paperwork in a folder, and input ordering over the phone. Every one of those is about the same acres, and none of them agree about the boundary of the field.

What we built

A platform designed as six modules on one shared spatial core rather than six products stitched together:

  • FieldWize - field records and land intelligence
  • WeedWize - weed inventory and treatment
  • ParcelWize - parcel and ownership data
  • CattleWize - livestock records
  • GrantWize - grant tracking and documentation
  • OrderWize - input ordering through the co-op

All six read and write through one Intelligence Platform API, so a field boundary is defined once and every module inherits it.

How it works

The right tool per module

The spatially heavy modules run on Python and FastAPI over PostGIS in Docker, where real geometry work belongs. The records-and-forms modules run on PHP and MySQL, which is faster to build and cheaper to host for what they actually do. Splitting by workload rather than standardizing on one stack keeps both the geometry correct and the cost sane.

Roles that match how the work happens

A grower works their own ground. An agronomist advises across many operations and links to the growers they serve. A co-op sells inputs and needs to see demand. The platform models those as distinct roles with their own dashboards, rather than one user type with permission flags.

A deliberate constraint

There is no shopping cart. Input orders require an agronomist to sign off before they move, because agronomic recommendations and product sales should not be the same frictionless click. The workflow encodes the professional judgment that the industry already expects.

Built to be linked

Growers link to their own agronomist and to the co-ops they belong to, by ID. The relationships are data, so an operation that changes advisors or joins another co-op does not need a migration.

What it changed

An early-stage company has an architecture it can build against for years instead of a prototype it will need to throw away, with the spatial core, the API surface, and the role model settled before the first module shipped.

6Modules on one shared API
1Definition of a field boundary
2Stacks, chosen per workload
0Carts, by design
PythonFastAPIPostGISDockerPHPMySQL
Get in touch

Tell us what the ground looks like.

A few sentences about the program, the data you already have, and the deadline you are working against is enough to start. You will hear back from the person who would do the work.

What happens next
First

A real reply, not a ticket number

Usually within one business day, from the person who would build it.

Then

A short call about the data

What exists, where it lives, and who has to use the result.

After that

Scope and a fixed number

Written scope with the cuts called out, so the budget decision is yours.