One platform, many apps, all on the map

GAIA is Braintree’s low-code data platform. A team loads its data and map layers once, then builds dashboards, map apps, forms and automated actions on top, without a new system for each one. It runs in production for one of Braintree’s clients, managing large agricultural estates. We worked on it alongside Braintree’s team.

satellite imagery with data layers on top: Mapssatellite imagery with data layers on top
apps assembled from sections, tables, maps and forms: Low-codeapps assembled from sections, tables, maps and forms
automated pipelines of queries and Python steps: Actionsautomated pipelines of queries and Python steps
for a large agricultural operator: In productionfor a large agricultural operator

What it is

Build the app from parts, not from scratch

Every GAIA app is made of the same parts: datasets hold the records, tilesets turn them into map layers, queries shape the data, actions automate the work, and forms collect it from the field. Apps put those parts on screens.

Data
Datasets and layers
- Records
- Map tilesets
- Satellite mosaics
GAIA
Shape and automate
- SQL queries
- Actions: query → Python
- Forms for field teams
- Roles and policies
Apps
What people use
- Dashboards
- Map apps
- Action centre

A management dashboard built on GAIA — A management dashboard: summary figures, the health breakdown and yield over time.

A filterable estate list with a CSV download — A filterable list of every estate with its measures, and a CSV download.

Inside the console

Where the apps are built

Behind every app is the console. This is where a team designs pages, writes the queries, wires up the actions and builds the forms that field staff fill in.

App builder

Pages made of sections, tables, maps, filters and pop-up forms, previewed live as you build.

Actions

Automated pipelines on a canvas: run a query, pass the result through Python steps, and save or send the output.

Queries

SQL over any dataset, versioned, with the output shown as a table or JSON.

Forms

Drag-and-drop forms for field teams, with required fields, dropdowns and versions.

Tilesets

Datasets turned into map layers: boundaries, roads, rivers, contours and healthy-tree counts.

Datasets and access

Records, object types, users, roles and policies, all managed in one place.

The GAIA app builder with the page tree and a live preview — The app builder: the page tree on the left, a live preview in the middle, and settings on the right.

An action pipeline: start, query, then two Python steps — An action: start, run a query, then two Python steps. Each run keeps its output.

A SQL query in the GAIA console — A query: SQL across datasets, versioned and runnable in place.

The GAIA form builder — The form builder: questions on the left, the form as field staff will see it on the right.

Map tilesets generated from datasets — Tilesets: datasets generated into map layers, ready to use in any app.

Our part

A Braintree platform, with a hand from us

GAIA is Braintree’s. We contributed to it alongside their team, on the web app that the console and the apps run in.

React
Vite
Tailwind CSS
shadcn/ui
Ruby on Rails
PostgreSQL
PostGIS
MapLibre
Cypress