Make ownership explicit
Inputs, decisions, checks, exceptions and acceptance have named roles.
A specialist engineering and technology delivery team
Engineering, GIS, reality capture and automation applied to the same operational problem.
Geospatial Net supports telecom, utilities and infrastructure teams across Europe, USA and APAC. Our engineers and GIS specialists work across design, LiDAR and field data, digital twins, As-Built, system implementation, automation, selected AI workflows and reporting.
If you need to add information, reply to your acknowledgement email.
Selected delivery experience
Names shown for identification only.A1 Macedonia Telekom Austria GroupGIG Infrastructure GermanyMacedonian Telekom Deutsche TelekomIndigo Telecom GroupFlomatik Network ServicesNetVisionJuspromGeomasivOvernetSecto Network ServicesQubitron
Our position
Engineering and implementation-not generic GIS advice or AI theatre.
We are a hands-on delivery team for environments where engineering, spatial evidence, software and operational workflows cannot be separated. We can follow a requirement from design intent through LiDAR or field evidence, system integration, quality control, automation and handover.
Forward-deployed engineers work beside client teams when implementation depends on real systems, source data and operating constraints. AI is used where it supports a governed engineering task, with human review and measurable acceptance-not as a substitute for accountable decisions.
How the team works
Practical principles instead of corporate slogans.
Design for handover
Data models, documentation and operating knowledge are considered from the beginning.
Use the right platform
Commercial and open-source tools are evaluated around the requirement and support model.
Prove before scale
Representative pilots expose assumptions and workflow gaps while change remains manageable.
Keep spatial quality visible
Coordinate control, registration, source, accuracy, classification and known limitations remain traceable.
Put AI behind review gates
Models have defined inputs, confidence handling, test cases, monitoring and an accountable release owner.
Work inside the delivery environment
Forward-deployed engineers connect recommendations to systems, data, field teams and acceptance.
Leave teams capable
Source, configuration, runbooks and training are part of delivery.
Where we operate
Europe, USA and APAC.
Our multilingual team supports remote, hybrid and on-site delivery models according to project needs and access requirements.
A low-risk first step
Talk to the people who will think about the delivery problem.
Share one representative work package, dataset or stalled workflow. We will identify the missing inputs, acceptance gates and smallest pilot that can produce a useful decision.
Request a project review
Start with a focused scope. Agree the inputs, outputs and acceptance criteria before scaling.