Airfree

Platform Architecture

The technology stack powering spatial intelligence at scale

Five integrated technology pillars — geospatial, AI, earth observation, cloud, and sovereign security — delivered as a unified platform for governments and enterprises.

Architecture

From raw data to actionable insight

The Airfree Platform processes data across five ordered layers. Every layer exposes standard interfaces, enabling customers to connect at any depth — from raw data ingestion to finished visualisation.

1

Data Ingestion

Satellite feeds, sensor networks, survey instruments, third-party APIs, and batch uploads. Supports real-time streaming (Kafka) and scheduled ETL at petabyte scale.

2

Processing

Distributed raster and vector compute on Dask and Spark. Automated QA, orthorectification, tiling, and point-cloud classification run in parallel across GPU clusters.

3

Analysis

AI inference pipelines, spatial statistics, change detection, and hydrological modelling. All analytical outputs are versioned and cryptographically signed.

4

Delivery

OGC-compliant services (WMS, WFS, WCS, WMTS), REST and GraphQL APIs, webhook event streams, and secure file download — all behind role-based access control.

5

Visualisation

Web clients (Airfree Maps), 3D digital twin environments powered by Cesium, QGIS plug-ins, and embeddable SDK components for third-party portals.

Platform Performance

Numbers that define enterprise-grade

The engineering targets and design specifications the platform is built to — the performance envelope behind every government and enterprise deployment.

10 TB/hr

Satellite imagery the multi-source EO pipeline is engineered to process per hour

<5 cm

Achievable relative accuracy in cadastral surveys with GNSS-assisted adjustment

50 ms

Target median tile-service response time under sustained load

99.9%

Uptime SLA across Airfree Cloud production regions

National scale

Cadastral parcel datasets the Airfree LandX platform is built to manage

Standards & Interoperability

Built on open standards. Engineered for enterprise.

Every Airfree service is designed for standards compliance from day one. Customers integrate using formats they already know, with no vendor lock-in at the data layer.

Airfree actively participates in OGC working groups and contributes open-source tooling that advances interoperability across the geospatial industry.

OGC

WMS · WFS · WCS · WMTS · WPS · API Features

STAC

SpatioTemporal Asset Catalog — EO metadata indexing

COG

Cloud-Optimised GeoTIFF for streaming raster delivery

GeoPackage

OGC GeoPackage for offline-capable vector exchange

LAS / LAZ

ASPRS point-cloud format with lossless compression

GeoJSON

RFC 7946 for lightweight web-native vector interchange

CityGML

OGC 3D city model standard for digital twin environments

ISO 19115

Geographic metadata standard for dataset cataloguing

Open Source

We build in the open where it matters

Airfree contributes foundational tooling back to the geospatial open-source ecosystem. These projects are used in production by organisations outside Airfree and are maintained by our engineering teams.

airfree-stac-server
Python

High-performance STAC API server with PostGIS backend and RBAC extensions.

cogify
Python

CLI and library for converting arbitrary rasters to Cloud-Optimised GeoTIFFs at scale.

geoparquet-tools
Rust

Utilities for converting and partitioning vector datasets to GeoParquet format.

tile-cache-operator
Go

Kubernetes operator for declarative management of distributed tile-cache clusters.

qgis-airfree-plugin
Python

QGIS plug-in exposing Airfree GIS services, authentication, and data catalogs.

spatial-lineage
TypeScript

Open framework for cryptographic provenance tracking of geospatial datasets.

Integration Ecosystem

Connect to everything. Own your data.

Airfree exposes every capability through well-documented APIs. Whether you are building a custom portal, automating a field workflow, or integrating with enterprise GIS infrastructure, the tools are there.

REST & GraphQL APIs

Fully versioned, OpenAPI 3.1-documented REST endpoints and a unified GraphQL schema covering all platform resources. OAuth 2.0 and API-key authentication.

Webhooks & Streams

Real-time event delivery via signed webhooks and Kafka-compatible streams. Subscribe to dataset updates, processing completions, sensor alerts, and permission changes.

SDKs & Plug-ins

TypeScript, Python, and Java SDKs. Native QGIS and ArcGIS Pro plug-ins. Embeddable web map components for third-party portals — all open-licensed.

Technical Engagement

Request a technical briefing

Our solutions architects will walk through the platform architecture, answer integration questions, and scope a proof-of-concept for your environment.