Clearing the GIS Production Backlog Before the Deadline

Raw scans become clean, classified point clouds your team can build deliverables from. Ground, vegetation, buildings, and powerlines separated, noise removed, mobile and bathymetric data processed to be analysis-ready, not raw. AI-accelerated, validated by a domain expert on every dataset.

The terrain surfaces your design, drainage, and planning work depends on, built from classified point clouds or survey data. Elevation, terrain, and surface models with contours and breaklines, in your CRS and format, ready to drop straight into your workflow.

Drone and aerial imagery turned into georeferenced, colour-balanced basemaps ready for GIS. Georeferencing, radiometric correction, seamline editing, mosaicking, and tiling, so the imagery you captured becomes a deliverable you can publish, not a folder of raw frames.

The slow, manual part of mapping done at production speed. Building footprints, road networks, land parcels, cadastral layers, and LoD1–LoD2 city models, extracted to your specification or a national standard, so your team skips the digitising and goes straight to analysis.

Survey data and scans turned into the drawings your clients and consultants actually use. Plans, sections, elevations, as-built preparation, and CAD-to-GIS conversion to your drawing standards, bridging field capture and what the design team needs.

Point clouds modelled into Revit at LOD 100–500 by engineers who understand both scanning and BIM. Structural, MEP, and architectural elements built to your BEP, so a scan becomes a coordinated model your design team can work in, not just a reference cloud.

The unglamorous work that keeps your spatial database trustworthy. CRS reprojection, topology validation, deduplication, and legacy migration, so the data underneath every deliverable stays clean as volume grows, instead of degrading into a problem you discover at delivery.

A production team that works as an extension of yours: named engineers, a dedicated project manager, your tools and your quality bar. Scale 1 to 10+ seats month to month with no recruitment overhead, so peak season and backlog clearance stop being a hiring problem.

When off-the-shelf GIS can't do what you need, we build it. Full-stack platforms with interactive maps, spatial querying, and dashboards on a multi-tenant architecture with role-based access, designed, built, and shipped to production, owned by you on handover.

Stop handing clients files they can't open. Interactive web portals branded to your firm, where clients explore deliverables in the browser with spatial querying, role-based access, and OGC publishing, so the survey becomes a product your client pays more for.

The spatial backbone other tools sit on, built and tuned for your scale. PostGIS database architecture and optimisation, GeoServer tile serving, and web mapping with Leaflet, OpenLayers, or MapLibre: infrastructure you own, with no per-seat licence underneath it.

The repetitive processing your team does by hand, turned into an automated pipeline. AI-automated classification and QA with expert validation, spatial ETL at 3–5× throughput, and automated topology checks, so each project compounds into reusable infrastructure instead of starting from zero.

The field half of your workflow, built to work where the signal does not. Native iOS and Android or cross-platform apps with offline-first architecture for field and vehicle environments, so survey crews capture and sync data on site, not back at the office.

Move off per-seat Esri licences without losing data integrity, and extend QGIS with the tools your workflow needs. Esri-to-open-source migration with full validation, plus custom QGIS plugin development, so you own the stack, the code, and the licence savings.

A second opinion from a team that builds, not just advises. Platform evaluation, architecture design, migration planning, technical due diligence, and team training, so your next platform decision is made with engineering judgement behind it, before the budget is committed.