Public-data pipelines
Connect, process, normalize, and maintain fragmented geospatial datasets from public and third-party sources.
Applied geospatial intelligence
Geospatial intelligence from public data.
GeoFirefly turns U.S. public geospatial data into decision-ready maps, analytics, and software tools for complex operational, environmental, and commercial problems.
Regional intelligence layer
Public datasets transformed into usable spatial insight.
42Data layers
7Risk factors
1Decision view
What we do
From public data to decision-ready geospatial insight.
We help teams move from scattered public datasets to clear geospatial insight. Our work combines GIS, data engineering, spatial analysis, and focused product design to create tools that support real decisions.
Spatial analytics
Apply geographic analysis, scoring, overlays, proximity analysis, and constraint screening to support complex decisions.
Map dashboards
Deliver usable map-based products that help teams explore conditions, compare locations, and communicate findings.
Tools and APIs
Package geospatial analysis into lightweight software tools, reports, dashboards, and APIs that fit operational workflows.
Use cases
Built for decisions where location matters.
GeoFirefly supports commercial, operational, environmental, and investment workflows where spatial context changes the decision.
Site suitability analysis
Compare potential locations using environmental, infrastructure, demographic, transportation, and operational criteria.
Infrastructure and asset risk
Identify exposure around facilities, assets, routes, and service areas using public hazard and infrastructure datasets.
Environmental constraint screening
Screen parcels, regions, and project areas for flood, terrain, environmental, land-use, and regulatory constraints.
Property and location intelligence
Turn parcel-adjacent public data into practical insight for acquisition, development, underwriting, and investment review.
Climate and flood exposure
Combine flood, elevation, storm, heat, and environmental indicators to evaluate location-based exposure.
Territory and operations analysis
Analyze service areas, coverage gaps, travel patterns, market regions, and operational footprints.
How it works
A focused process for turning spatial data into action.
Ingest public geospatial data
We identify and collect relevant public and third-party datasets for the decision, region, or workflow.
Clean, normalize, and enrich it
We resolve inconsistencies, standardize formats, document sources, and prepare data for analysis.
Apply spatial analysis and scoring
We use GIS workflows, spatial models, overlays, proximity analysis, and scoring methods to reveal meaningful patterns.
Deliver maps, dashboards, reports, or APIs
We package the results into practical tools that decision-makers, analysts, operators, or technical teams can use.
Why public data
Public geospatial data is powerful, but rarely ready to use.
U.S. public datasets are abundant, but they are often fragmented across agencies, published in inconsistent formats, updated on different schedules, and difficult to operationalize.
GeoFirefly connects, cleans, analyzes, and packages public datasets so organizations can act faster and with more spatial context.
✓Less time searching for scattered datasets
✓More confidence in spatial assumptions
✓Clearer location-based risk and opportunity signals
✓Repeatable workflows instead of one-off analysis
✓Better communication through maps, dashboards, and reports
Fragmented inputs
Flood, elevation, transportation, environmental, parcel-related data
Geospatial processing
Cleaned, normalized, enriched, scored, and documented workflows
Decision-ready outputs
Maps, dashboards, reports, models, and APIs
Example proof of concept
Regional risk intelligence dashboard
A prototype combining public flood, elevation, environmental, transportation, and parcel-related datasets to identify locations with elevated operational or development risk.
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Interactive regional map showing scored locations, risk layers,
and public-data overlays.
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Summary dashboard with location scores, exposure categories,
filters, and comparison views.
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Location-level report showing key findings, contributing
datasets, risk indicators, and decision notes.
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Data sources, scoring logic, assumptions, limitations, and
update cadence.
Data and methodology
Transparent sources. Repeatable workflows. Clear assumptions.
Every solution is built with documented data sources, repeatable processing workflows, and clear methodology notes. We distinguish raw public data from proprietary analysis, scoring, and software.
Source transparency
Datasets are documented with source agencies, access dates, update notes, and attribution where applicable.
Repeatable processing
Workflows are designed to be rerun, reviewed, improved, and adapted as public datasets change.
Data-quality review
Known gaps, inconsistencies, and limitations are identified so users can interpret results responsibly.
Clear analytical boundaries
We separate public source data from GeoFirefly’s analysis, scoring, enrichment, and software outputs.
About
Practical geospatial intelligence for complex decisions.
GeoFirefly is a geospatial intelligence company focused on turning U.S. public spatial data into practical decision-support tools.
We work at the intersection of GIS, data engineering, mapping, analytics, and product development. Our goal is to help organizations use location-based data more effectively without forcing teams to manage fragmented public datasets, custom GIS workflows, or one-off analysis on their own.
GeoFirefly is built for teams that need focused, credible, and usable spatial intelligence — from early proof of concept through operational tools.
Contact
Have a geospatial problem worth exploring?
Reach out to discuss a focused proof of concept, pilot, or spatial analysis workflow.
hello@geofirefly.com