Work with GIS experts

Off-the-shelf GIS software rarely covers unusual spatial analysis or slots into proprietary systems. We build custom GIS applications with ArcGIS, QGIS, and PostGIS that run specialised geoprocessing workflows, connect to enterprise databases, and expose custom APIs for spatial queries, geospatial capability shaped to your specific operational needs.

How we help

We build GIS applications on ArcGIS, QGIS, and PostGIS shaped to your geoprocessing workflows and enterprise stack.

A poorly structured spatial database means bottlenecks and integrity problems. We design geographic databases with PostGIS and SpatiaLite, spatial indexing in place, topology rules enforced, query performance tuned for large datasets with schemas that support versioning, handle multi-user editing, and integrate with your existing enterprise databases.

How we help

We design spatially indexed PostGIS schemas with topology rules and versioning that stay fast on large datasets.

On-premises GIS infrastructure limits access and ties up IT resources. We deploy cloud-based GIS on ArcGIS Online, Google Earth Engine, and AWS, with scalable storage for spatial data and global access through web services, so large teams reach geographic data from anywhere, with no servers to run.

How we help

We deploy scalable cloud GIS on ArcGIS Online, Google Earth Engine, and AWS so teams access spatial data from anywhere.

Field workers need to collect, update, and view spatial data without trekking back to the office. We build mobile GIS applications with ArcGIS Field Maps, QField, and custom React Native builds that capture GPS coordinates, attach photos to features, and sync once connectivity returns, working offline against locally cached basemaps, which makes field operations far more efficient.

How we help

We build offline-capable field apps on ArcGIS Field Maps, QField, and React Native that sync the moment connectivity returns.

Logistics and field-service companies need real-time visibility into mobile assets and people. We build location-tracking systems that monitor vehicle fleets, field workers, and equipment as it moves, integrating GPS, setting geofencing alerts, calculating optimal routes, and providing dispatch interfaces, the operational visibility that cuts response times and sharpens how resources are allocated.

How we help

We build real-time tracking with GPS, geofencing, routing, and dispatch interfaces for fleets and field teams.

Organisations need standard ways to share geographic data across departments and with outside partners. We build Spatial Data Infrastructure with GeoServer, MapServer, and OGC-compliant web services, layers published through standard protocols, metadata catalogues, and access controls, so the data is interoperable, discoverable, and reachable across organisational lines.

How we help

We stand up OGC-compliant SDI with GeoServer and MapServer, metadata catalogs, and access controls for sharing data.

Legacy GIS data tends to sit in outdated formats and incompatible coordinate systems. We migrate it with FME, GDAL, and Python scripts that convert between vector and raster, reproject coordinate systems, and validate quality along the way, handling large datasets in batch and preserving attribution throughout, so you modernise the GIS infrastructure without losing the historical spatial data.

How we help

We migrate and reproject spatial data with FME, GDAL, and Python, validating quality and preserving attribution.

Executives need location insight to make the calls on territories, facilities, and market expansion. We build BI dashboards that blend GIS with business data and connect to Power BI, Tableau, or custom dashboards with interactive maps, giving leadership the geographic context to decide better.

How we help

We blend GIS with business data in Power BI, Tableau, or custom dashboards with interactive maps to support decision-making.

Desktop and enterprise GIS platforms for authoring maps, running geoprocessing, and managing spatial data across commercial and open-source stacks alike.

JavaScript libraries and APIs for building fast, interactive web maps, routing, and client-side spatial operations at scale.

Databases and spatial extensions that store, index, and query geographic data efficiently as it grows.

Libraries and engines for transforming, cleaning, and analysing vector and raster geospatial data.

Server software that publishes map layers and spatial data through standard OGC web services and vector tiles.

Programming libraries for automating geoprocessing and building custom spatial logic across Python, R, JavaScript, and JVM ecosystems.

Platforms for processing satellite and aerial imagery, from cloud-scale analysis to traditional remote-sensing workflows.

Tools for converting between spatial formats, reprojecting coordinate systems, and migrating large datasets dependably.

Field applications for capturing, editing, and syncing spatial data offline and out in the field.

Cloud platforms and managed services for hosting, scaling, and serving geospatial data and applications worldwide.

Analytical toolsets and spatial models for routing, suitability, terrain analysis, and hexagonal spatial indexing at scale.