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Vertical AI for geospatial work

AI that does the geospatial work.And shows you it's right.

Axis Spatial learns your project, works with real geospatial tools and delivers the result with the evidence needed to trust it. We're starting by modernising brittle legacy workflows.

A coastal city where streets, buildings, infrastructure and imagery describe the same physical place
One place / many representations
The same ground, held as data, relationships, history and proof.

Imagery

what is visible

Geometry

where it is

Networks

how it connects

Time

what changed

The difference

Correct against the ground.

Geospatial work is judged by whether it holds true in the physical world, not by how convincing the answer sounds.

Current general models do not reliably preserve and validate the changing state of a spatial project across a long job. Axis Spatial supplies that state, the right tools and a visible proof path.

Routes

A route must obey direction, access and turn restrictions, not merely look plausible.

Geometry

Coordinates, topology, units and tolerance have to survive every transformation.

Imagery

Coverage, resolution, acquisition time and provenance determine what a result actually means.

How Axis Spatial works

From an unclear project to accepted work.

You direct, inspect, correct and approve. Axis Spatial keeps the work moving between those decisions.

01

Learn the project

Axis Spatial builds an evidence-backed understanding of the data, tools, intent, constraints and unresolved decisions.

02

Do the work

A long-running agent uses the real geospatial tools, code and controlled compute the job requires.

03

Check the result

Outputs are compared against spatial, technical and domain criteria, with failures made visible.

04

Deliver the evidence

The implementation, provenance and acceptance record stay inspectable, correctable and reusable.

First product / Migration Engine

Modernise the workflow. Keep the proof.

Legacy spatial workflows hide years of decisions across code, desktop tools, models and manual checks. Migration Engine reconstructs that work, rebuilds it for a chosen environment and compares the new result with the old.

Axis Spatial previously shipped and demonstrated the first Migration Engine. It is now being rebuilt on one controlled agent foundation for early pilots.

View Migration Engine

The product lifecycle

01

Discover

02

Interview

03

Refine

04

Generate

05

Deploy

06

Verify

From the tools teams have to the environments they choose

ArcGIS
QGIS
FME
Python
Jupyter
Databricks
Snowflake

Company signals

Evidence before spectacle.

Early proof of domain depth, presented for what it is—not inflated into customer traction.

Global recognition / 2026

Recognised among the world's Top 100 geospatial companies.

Axis Spatial is included in the 2026 Global Top 100 Geospatial Companies.

View the 2026 list

GeoMob Berlin / 23 April 2026

A GeoMob talk on automating GIS workflow migration.

The talk shared one founder-led migration outcome—from three weeks of manual work to roughly one hour—as product-history context, not a current product benchmark.

Migration Engine early access

Bring one legacy workflow worth getting right.

We are inviting a small number of geospatial teams to shape early Migration Engine pilots.

Join the waitlist

Share enough context for a considered early-pilot reply. No sales sequence.