Migration Engine
Rebuild legacy GIS workflows as cloud-native pipelines.
ArcPy, ESRI, FME, QGIS. Axis converts the workflows your team already runs into reproducible, validated, deployable code on Databricks, AWS, or GCP - with tests and documentation generated in the same run.
What you get out of the migration
Migration Engine is the product GIS managers use to retire legacy desktop workflows without losing the domain logic their team spent years encoding.
Scripts, not black boxes
Every migrated workflow comes out as readable Python with inline documentation and tests. Your team owns the code.
Validation built in
Each generated step is audited against the original workflow. When the audit finds issues, the agent rewrites until the output matches.
Deploy to your cloud
Databricks, AWS Glue, GCP Dataproc, or plain Python. The same pipeline ships to the platform your team already operates on.
Drop the ArcGIS licence
Translated to GeoPandas, Rasterio, Shapely, GDAL. Ten-thousand-dollar seats become a single cloud bill.
Where Axis fits
Geospatial AI for the teams who already do the work.
Axis does not replace the people who know the domain. It gives those teams an AI collaborator that can plan, execute, validate, and deliver work inside the stack they already run. Your engineers stay on product and algorithms instead of gluing together sandboxes, evals, and deploy scripts.
Axis is the runtime underneath your geospatial team.
Your team stays in control. Axis runs the layer underneath.
Your product
Axis Spatial
Agent orchestration
Workflow execution
Output generation
Validation
Deployable handoff
Your outcomes
Bring a workflow. Leave with a pipeline.
Point Axis at a folder of ArcPy scripts, ModelBuilder exports, or an FME workbench. Get back validated code and a deployable pipeline for your cloud.