Hand us the gap: a processing backlog, a missing platform, an automation. We own it to your published acceptance criteria.
Trusted by surveying, GIS and geospatial product teams in 12+ countries.
Production
You win the tender, and the point cloud sits in a queue your team cannot clear before the delivery date.
Your deliverables are checked by the people who produced them. Industry rework runs 15–40%, and you find out from the client.
Software
The portal your clients keep asking for needs a senior geo-dev. That is four months and a premium away.
Your maps run on licence rent, your pipeline lives in one contractor's head, and none of the code is yours.
One root: gaps in your geospatial stack that no single vendor owns end to end. So you stitch together a processing shop, a software house and a few freelancers, and no one is accountable for the result.
Three rungs, ascending. Most clients start on one and climb.
Process
We turn the geospatial data you already hold into QC-ready deliverables: LiDAR and point cloud classification, terrain DEM/DTM/DSM, vectorization, ortho and mosaic.
500 km of LiDAR classified in 4 days, under 7% rework.
Powered by: Data Production
Digitize
We turn your physical facilities and assets into a geospatial layer you can query, publish and build on: a digital twin of the operation. Scan-to-BIM LOD100–400, CAD-to-GIS.
Delivered to the same under-7% rework standard as the rest of production.
Powered by: Data Production
Automate
We build the GeoTech and GeoAI that runs it as a system you own: Web-GIS and SDI, geodata pipelines, ML on geodata, LiDAR-automation.
Code and IP yours from day one.
Powered by: Software Technology Partner
The engineers who classify your point clouds are the engineers who automate them. One bench, three rungs.
Two ways in
You hand us a gap in the stack: a backlog, a missing platform, an automation. Not a team to manage. We own it to your acceptance criteria and the output is yours.
Software Technology Partner
GeoTech and GeoAI on open source: Web-GIS and SDI, geodata pipelines, ML on geodata, LiDAR-automation, PostGIS, GeoServer, custom QGIS apps. All code and IP transfer to you on day one. No Esri licence rent, no lock-in.
Capabilities
Data Production
A named team and a separate QA Controller on every job, so production never checks itself. LiDAR and point cloud classification, terrain DEM/DTM/DSM, vectorization, Scan-to-BIM LOD100–400, CAD-to-GIS, ortho and mosaic.
Capabilities
Geodesy and geospatial science degrees, field engineering heritage since 2009. Not data-entry generalists.
CET/BST overlap means same-working-day iterations, not overnight async.
We run GeoAI pipelines and a geospatial engineer validates every output. Speed without expert validation is not our promise.
We extend your team. We don't replace it.
Machine learning is standard in how we build, not an add-on. GeoAI and ML run through the pipelines we write for you and the software we ship, and a BSc+ engineer owns every output.
See the GeoAI & ML stackSoftware
A multi-tenant geospatial platform for a Dutch GIS company: strict tenant isolation, role-based access control, OGC-compliant map publishing, built on open source. The client owns the code.
GeoAI
40,000+ ha under monitoring and agronomist field visits down 30%. NDVI pipelines and GeoAI models turning imagery into where-to-walk decisions.
Production
A LiDAR programme at risk of its deadline. We took ownership of the pipeline and cleared it to the client’s acceptance criteria, scaling to 20+ engineers within 14 days, then back down after the peak. We ran it; they didn’t manage us.
Overflow production capacity and web delivery for surveying and GIS firms at fixed deadlines.
AutomateFrom raw satellite and machine data to per-field decisions on one operational screen.
DigitizeScan-to-BIM production at LOD 200-350, CAD-to-GIS conversion, point-cloud processing at volume.
AutomateSelf-hosted routing, clean address data and one spatial layer across tracking, analytics and dispatch.
ProcessSubmission-ready asset data for regulatory cycles, legacy migration and network records you can trust.
ProcessAs-built records that keep pace with the build, PIA-compliant datasets and OSS/BSS integration.
AutomateISR pipelines, terrain products and offline-first spatial systems, built under controlled handling.
Signature Process
Every deliverable has two roles on it. The engineer who processes the data never QAs their own work; an independent QA Controller reviews it against the signed methodology spec.
QA pass rate
Passed on first review.
Delivered vs rework
<7% returned for fixes.
Industry rework rate
Personas
Production Manager / GIS Analyst
Hands us the LiDAR and vectorization backlog and gets it cleared to the delivery date: output against acceptance criteria, not a headcount to manage.
BIM Coordinator
Sends a scan and gets an LOD-defined Revit model back, QC’d to spec: Scan-to-BIM LOD100–400 and CAD-to-GIS.
CTO / Head of Product
Ships the GeoTech platform they need without a build team to stand up: code and IP transferred to them on day one.
The Bridge
Processing shops can't build software. Software houses can't process data. We do both, with the same engineers. The people classifying your point clouds by hand know your workflow well enough to automate it into software you own.
Start in production.
Clear the backlog now, with a named team working to your acceptance criteria.
Move to software when ready.
We wrap the repeatable core into a pipeline you own, and stay on the hard edge.
Engagement
Fixed scope, fixed price, QA'd delivery. One dataset in, an accepted deliverable out.
Named engineers, weekly demos, CET/BST overlap. A workstream that scales with demand: output against acceptance criteria, not a headcount to manage.
Architecture, procurement, and delivery reviews. Direction before you commit budget.
NDA + secure transfer · IP transfer non-negotiable
Engagement detailsFree tool · no conversation required
What a full-time in-house engineer really costs: salary, burden, licences, recruiting, ramp loss, bench idle, measured against an owned workstream.
Getting started
Automation-accelerated production, domain-expert validation. You evaluate our work against your own standards before any commitment.
You send real data. We process it to your spec and return it in five working days. You compare the output against your baseline.
A scoped project to test the working relationship. Clear deliverables, agreed timeline, defined quality criteria.
A named PM, agreed SLAs, and a recurring schedule sized to your demand.
Scale the workstream up or down as workload changes. Add new service types as needed. Your extended geospatial department.
English-law contracts · UK-registered · open-source stack, no licence rent
Send a sample dataset and we will process it to your spec against published acceptance criteria. Or bring the platform, pipeline or GeoAI model you need built, and we will scope it in a fixed-price Discovery Sprint. Either way, the person on the call does the work.
Machine learning classification with BSc+ engineer validation: 500 km corridors in days, not weeks.
Ingesting LoRaWAN, NB-IoT and MQTT into PostGIS: rendered on interactive maps in sub-200ms.
pgRouting and OSRM vs per-call routing APIs, with real production numbers.
One bench across four European bases, UK-registered, working in your timezone.
United Kingdom, Devonshire str., 41, Ground Floor, London W1G 7AJ
Estonia, Harju maakond, Kesklinna linnaosa, Kaupmehe tn 7-120, 10114
Germany, Roonstraße 23a, 76137 Karlsruhe
Ukraine, Sadova Street, 2a/1, Lviv