Automate Your Geospatial Workflows
Transform months of manual GIS work into minutes with cloud-native pipelines. We help insurance companies, utilities, and government agencies automate repetitive geospatial workflows—cutting costs by 90% while gaining cloud-native scalability.
Still Running Manual Processes That Take Weeks?
If your team is spending weeks on repetitive GIS work, paying high software licensing fees, and can't integrate with modern cloud platforms—you're not alone. Manual workflows are holding back your analysis and preventing you from scaling.
We've been there. At a global reinsurance company, we had a geospatial analysis process that took 3-4 weeks of full-time analyst work end-to-end for each country. Manual processes, endless data wrangling, disconnected tools, and repetitive tasks that prevented the team from doing real analysis.
We automated the entire workflow using cloud-native pipelines. The same analysis now takes 30 minutes. A stakeholder types in a country code, clicks a button, and gets results delivered automatically. No manual steps, no waiting, no errors.
That's not theory. That's what we built, deployed, and handed off to the team.
And we can help you automate your workflows too.
Calculate Your Automation ROI
How much are manual workflows really costing you? Use our interactive calculator to estimate your annual labor costs and see potential 3-year savings from automation.
- Real-time ROI calculation based on your workflows
- See payback period and 3-year savings projections
- No email required—instant results
Example: Weekly workflow (8 hours)
Your numbers will vary. Use the calculator to see your specific ROI.
Common GIS Workflow Challenges
Manual, repetitive processes that prevent your team from focusing on analysis and insights. These challenges become more painful as you scale.
Manual Processes Taking Weeks
Workflows that take days to run. Manual exports, imports, and reformatting. Repetitive tasks that prevent real analysis. Analysts spending 80% of their time on data wrangling instead of insights.
High Software Licensing Costs
Software licenses costing hundreds of thousands annually. Costs that scale linearly with team size. Budget pressure to reduce spend while maintaining capabilities.
Desktop Workflows That Don't Scale
IT is moving to Databricks, Snowflake, or BigQuery but GIS is still desktop-based. Can't integrate with modern cloud stack. Unable to leverage cloud compute for processing large datasets.
Our Approach: Three-Phase Automation
Proven methodology that transforms manual workflows into automated pipelines—minimizing risk and delivering results at each step.
Workflow Audit & Automation Roadmap
We analyze your workflows and identify automation opportunities
- Audit current workflows and identify automation candidates
- Assess team skills and infrastructure readiness
- Proof-of-concept: automate one workflow to demonstrate ROI
- Deliver detailed automation roadmap with timelines
Automation Pipeline Build
We build production-ready automated pipelines for your workflows
- Design cloud-native architecture (Databricks, AWS, Azure)
- Build automated pipelines with modern tools and formats
- Implement with Python, GeoPandas, and cloud-optimized data
- Deploy with CI/CD and full documentation
Training & Knowledge Transfer
We train your team to maintain and evolve the automated systems
- Desktop GIS: QGIS for daily analysis work
- Python for Geospatial: automate repetitive tasks
- Cloud-Native GIS: work with modern formats and platforms
- Hands-on training with your actual workflows and data
Real Results: Before & After Automation
Actual workflow automation from a global reinsurance company (not a toy example).
Global Reinsurance Company
❌ The Challenge
Geospatial analysis for each country took 3-4 weeks of full-time analyst work end-to-end. Manual processes involving multiple disconnected tools, endless data wrangling, and extensive QA checks.
✅ Our Solution
Automated entire workflow using cloud-native pipelines. Built Python-based automation with Databricks. Transformed manual processes into a single-button operation with automatic data processing and quality checks.
Results
⏱️ Time
3-4 weeks → 30 minutes
(99%+ reduction)
💰 Cost
90%+ cost reduction
(compute + licensing)
📈 Scale
2-3 countries/year → 50+ countries/year
(20x increase)
Technologies We Use for Automation
Modern, cloud-native tools that enable fast, scalable, and cost-effective workflow automation.
Python for Automation
GeoPandas, Rasterio, Fiona, Shapely
Automate repetitive geospatial tasks and data processing
Cloud-Native Formats
GeoParquet, COG (official OGC standard Jan 2025), STAC
Fast, scalable data formats optimized for cloud computing
Cloud Platforms
Databricks Spatial SQL, AWS, Azure, PostGIS
Scale processing power elastically, pay only for what you use
Desktop GIS
QGIS (free, powerful, modern)
Professional GIS capabilities with zero licensing costs
Workflow Orchestration
Airflow, Prefect, Databricks Workflows
Automate complex multi-step workflows end-to-end
Proven Results Across Clients
Real outcomes from our workflow automation consulting and implementation work.
Ready to Automate Your Workflows?
Book a free 30-minute consultation to discuss your workflow automation opportunities. We'll review your processes, estimate time and cost savings, and show you what's possible. No pressure, just expert guidance.