An understood workflow
The recovered steps, dependencies, decisions and open questions are explicit enough for a domain expert to correct.
Migration Engine / Early access
Modernise the workflow.Prove the new result.
Axis Spatial reconstructs a legacy geospatial workflow, rebuilds it for a modern environment and compares the new result with the old—so your team can decide whether it is ready to accept.
A migration with an acceptance path
Source workflow
ArcGIS
QGIS
FME
Python
Jupyter01
Axis Spatial Migration Engine
Understand, rebuild, run and compare.
Chosen environment
Databricks
AWS
GCP
Snowflake
PostGISThe outcome
A migration your expert can accept.
The job is not finished when new code appears. It is finished when the workflow is understood, the implementation is owned and the differences are reviewable.
An owned implementation
The result is delivered for the environment your team chooses, with code and artefacts your team can inspect.
A parity record
Comparisons, provenance and unresolved differences travel with the implementation instead of disappearing into a success message.
The product lifecycle
Six stages. One acceptance record.
The lifecycle comes from the first shipped Migration Engine. The rebuild is bringing it onto one controlled Axis Spatial foundation.
01
Discover
Inspect the files, scripts, tools, dependencies and sample outputs that make up the real workflow.
02
Interview
Surface the choices and edge cases that live with the analyst rather than in the code.
03
Refine
Turn the recovered process into a workflow the team can inspect, correct and accept.
04
Generate
Build an owned implementation for the chosen target, with the assumptions kept visible.
05
Deploy
Run the rebuilt workflow in a controlled target environment and retain what happened.
06
Verify
Compare outputs, investigate differences and package the evidence for human acceptance.
Migration Engine
From Legacy Tools to Cloud-Native
See how the Migration Engine reconstructs legacy GIS logic and turns it into an inspectable, platform-specific pipeline with parity evidence.
Legacy workflow
Cloud-native pipeline
Databricks·Lakeflow Jobs
Join early access
Bring one legacy workflow and the result your expert needs to trust.
Where it stands
Built once. Being rebuilt to go further.
Product history
Shipped and demonstrated
The first Migration Engine ran the six-stage journey, generated implementations and compared raster, vector and tabular outputs.
Early access
One controlled foundation
The rebuild is converging project understanding, long-running execution, evidence and review into one product foundation for early pilots.
Migration Engine early access
Tell us which legacy workflow matters.
We are inviting a small number of teams with a defined source workflow, a target environment and a real acceptance question.
Join the waitlist