From Scattered Files to Self-Correcting, Verified Pipelines
Axis Agents scans your existing workflow folder - ArcPy scripts, Excel files, QGIS projects - and reconstructs the actual process. AI agents interview your analysts, generate code, deploy it, fix errors automatically, and verify the output matches your legacy system.
DISCOVER
Static Analysis & Dependency Mapping
Point Axis Agents at your workflow folder. It identifies 30+ GIS file types, parses code to extract ArcPy operations, reads metadata, and maps how files connect to each other.
- Detects ArcPy, QGIS, FME, and Excel files
- Parses Python code using AST analysis
- Extracts shapefile schemas and CRS metadata
- Builds a dependency graph of your entire workflow
Runs locally. Your files never leave your machine.
REFINE
Logic Extraction & Knowledge Capture
AI generates questions based on what it could not figure out automatically. Why is the buffer 500 metres? Where does this data come from? Your analysts answer, capturing knowledge that exists only in their heads.
- Questions generated from code analysis gaps
- Multiple choice options to reduce typing
- Delegate questions to colleagues who know the answer
- Progress saves automatically - return anytime
Captures undocumented knowledge that survives staff turnover.
Why is the buffer set to 500m?
REVIEW
Human-in-the-Loop Review
Before any code is written, you see the proposed workflow as a visual graph. Each processing step, each data dependency. Your team reviews, corrects mistakes, and approves the plan.
- Visual DAG shows all processing steps
- Edit nodes, add steps, change connections
- See how interview answers affected the plan
- Nothing happens without your sign-off
No black box. Full transparency before generation.
GENERATE
Multi-Agent Code Generation & Audit
AI agents write Python code using open libraries - GeoPandas, Rasterio, GDAL. A separate Auditor agent reviews every line. If it finds issues, the Builder revises automatically - up to three rounds until the code passes.
- ArcPy translates to GeoPandas + Rasterio
- Output formats: GeoParquet, COG, STAC catalogues
- Auditor agent validates correctness automatically
- Multi-round revision loop until quality passes
You own the code. No vendor lock-in. Run on unlimited machines.
DEPLOY & CORRECT
Self-Correcting Cloud Deployment
Deploy to Databricks, AWS, GCP, or Snowflake. If deployment fails, AI agents diagnose the error, search a knowledge base of thousands of documented GIS issues, test the fix in isolation, and redeploy. Up to three automatic attempts before escalating to your team.
- One-click deployment to your cloud platform
- Automatic error classification and diagnosis
- Knowledge base of thousands of known GIS issues
- Each fix tested in isolation before redeployment
Most tools stop at deployment. Axis Agents runs until it works.
VERIFY
Automated Output Comparison
Your pipeline is only complete when outputs match. The system compares cloud results against your legacy output - row counts, coordinate reference systems, spatial accuracy. If something doesn't match, it flags exactly what diverged.
- Row count comparison between legacy and cloud
- CRS matching and spatial accuracy checks
- Automated reporting of any discrepancies
- Pipeline marked complete only when verified
Not a report. A certificate that your migration is correct.
You pay for a finished room, not bricks and drawings
When a contractor builds you a room, you pay for a completed room with a structural certificate - not a pile of bricks and a blueprint. Axis Agents works the same way. You get a running, verified pipeline - not just generated code that might work.
Desktop ArcPy vs Automated Pipeline
| Aspect | Desktop ArcPy | Automated Pipeline |
|---|---|---|
| Concurrency | Single-threaded | Distributed (Spark) |
| Cost Model | Per-seat license | Compute-based |
| Environment | Local workstation | Cloud cluster |
| Monitoring | Manual checks | Built-in observability |
| Version Control | File timestamps | Git-based CI/CD |
| Error Handling | Manual debugging | Autonomous correction |
| Output Validation | Manual spot checks | Automated spatial comparison |
Why GIS Teams Trust This Approach
Your Data Stays Local
File scanning runs entirely on your machine. Only workflow metadata is sent for AI analysis - never your actual geodata files.
Multi-Tool Understanding
Handles workflows spanning Excel, ArcGIS, QGIS, FME, and Python. Detects where data flows between tools and preserves that logic.
Knowledge Capture
The interview system extracts tacit knowledge: why parameters were chosen, what happens in edge cases. This survives staff turnover.
Self-Correcting Deployment
If deployment fails, the system diagnoses the error, finds a known fix, tests it, and redeploys automatically. No manual debugging.
Frequently Asked Questions
Does my code or data leave my infrastructure?
No. The scanner runs locally on your machine. Only workflow metadata (file names, detected operations) is sent to AI for analysis. Your actual geodata files never leave your environment. Generated code deploys to your own cloud account.
How long does the process take?
Scanning takes minutes. The interview phase depends on your team's availability - typically 1-3 days. Code generation takes hours. End-to-end, most workflows are automated within 1-2 weeks.
What if the generated code is wrong?
First, an Auditor agent reviews every line before you see it. If issues slip through and deployment fails, the system automatically diagnoses the error, searches a knowledge base of known fixes, tests the fix in isolation, and redeploys. This loop runs up to three times. Then your team reviews. Finally, the system compares cloud output against your legacy results to verify accuracy.
Do I need ArcGIS licenses to run the output?
No. Generated pipelines use open Python libraries (GeoPandas, Rasterio, GDAL). Run on 100 machines without buying 100 ArcGIS licenses. Scale processing without per-seat costs.
How do I know the cloud output matches my legacy system?
The Verify stage automatically compares cloud results against your legacy output - row counts, coordinate reference systems, and spatial accuracy. Your pipeline is only marked as complete when outputs match. Any discrepancies are flagged with exactly what diverged.
What We Support
Input Formats
- ArcPy scripts (.py)
- QGIS projects (.qgz, .qgs)
- Excel with formulas (.xlsx, .xlsm)
- FME workbenches (.fmw)
- ModelBuilder exports
- Shapefiles, geodatabases, GeoPackage
Output Formats
- Cloud Optimised GeoTIFF (COG)
- GeoParquet
- STAC Catalogues
- PMTiles
- FlatGeobuf
- Delta Lake tables
Pick your messiest process. See results in days.
No 6-month proposal. No massive commitment.
NDA protection for all discussions.