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Migrate GIS Workflowsto Any Cloud

Upload your ArcPy, QGIS, or FME workflows. Get production-ready code for Databricks, Google Cloud, AWS, Snowflake - in minutes, not months.

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Pipeline complete - all agents passed validation
Step 11/11 100%

Migration Complete

Manual Estimate

3-4 weeks

Automated

8 min 57s

Files Generated

23

Operations

17

3-4 Weeks→9 Minutes
5 Cloud Platforms
Files Stay Local

Privacy First

Your files are analysed in the browser. Source code never leaves your machine.

Minutes, Not Months

What takes a team 3-4 weeks of manual work completes in under 10 minutes.

Validated Output

Every migration includes automated tests, documentation, and an audit trail.

How It Works

From legacy GIS to cloud-native pipeline

Four steps. Three AI agents. One production-ready output.

01

DISCOVER

Upload your workflow folder

Drop your ArcPy scripts, QGIS projects, or FME workbenches. The scanner detects every operation, data dependency, and spatial transformation automatically.

25+ ArcPy operations detected in seconds

02

REFINE

AI builds your workflow graph

A SmartDAG maps every task and data flow. The AI interviews you to capture undocumented logic - the knowledge that only exists in your analysts' heads.

7-node DAG with 8 data flows generated

03

PLATFORM

Choose your target cloud

Pick Databricks, Google Cloud, AWS, Snowflake, or Standalone Python. Each generates optimised, platform-native code using that cloud's spatial capabilities.

5 target platforms, platform-native output

04

GENERATE

Three AI agents write your code

Planner architects the migration. Builder generates every notebook. Auditor validates every line. You get production-ready code with tests and documentation.

23 files generated, fully validated

Target Platforms

One upload. Five cloud-native outputs.

Each platform generates optimised code using its native spatial capabilities.

Databricks

PySpark + Delta Lake + Unity Catalog

Mosaic H3, Apache Sedona

Google Cloud

BigQuery + Dataproc + Earth Engine

BigQuery GIS, H3 indexing

AWS

Glue + S3 + Step Functions

Sedona JAR, GeoPandas

Snowflake

Snowpark Python + GEOGRAPHY

Native H3, ST_* functions

Standalone Python

GeoPandas + Rasterio

No cloud dependencies

Ready to migrate?

Upload your workflow and get production-ready cloud code in minutes. No sign-up required for the demo.

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