Are these real projects, or illustrative examples?

Every case study here is real delivered work, run by a named team of BSc+ geospatial engineers under NDA with secure data transfer. Client names are often withheld because the work is covered by an NDA, which is also why some cases describe the client by sector and size rather than by name. Where a case study carries figures, those figures are the delivered result and are published only once the client has approved them.

What kind of measurable results do you deliver?

It depends on the work. Data production is measured on volume, accuracy and turnaround - square metres modelled, elements delivered, sheets corrected, and how long a batch takes against the manual alternative. Platform work is measured on what it removes: a step that needed desktop GIS software, a specialist queue, or a manual export. Each published case study states its own headline figure and shows the before and after, rather than being summarised into a single site-wide claim.

How do you protect confidential or sensitive client data?

Projects run under NDA with secure data transfer, and every engineer working on your data is an in-house BSc+ geospatial specialist on a named team - not a subcontracted or anonymous pool. This holds across sectors, including regulated and defence work where confidentiality is a delivery requirement rather than an add-on.

Do you have experience in my specific industry?

The case studies can be filtered by industry and by unit (Data Production or Software Engineering). The portfolio covers scan-to-BIM and scan-to-CAD documentation of existing buildings, mobile and airborne LiDAR processing, vectorisation and topographic mapping, cadastral and national database maintenance, and custom GIS platforms for agriculture, soil science, point-cloud visualisation, street-level imagery and satellite data. If your sector is not represented, the closest match is usually the data type rather than the industry, so it is worth asking.

What is your error or rework rate?

Rework runs under 7%, against a typical industry range of 15-40%. That comes from putting BSc+ geospatial engineers on every seat and validating output before it is delivered, rather than sampling it afterwards.

Projects

Projects That Prove the Point

Real deliverables. Real metrics. Real clients.

570+ projects · 12+ countries rework < 7% · industry avg 15–40% bsc+ engineers on every seat named team · nda · secure transfer

Unit

Industry

30 projects

The review viewer: a mobile-mapping point cloud of a townscape with the fitted conductor spans drawn through it, beside a sortable table giving each span its length, fit error, sag, point count and how much of its run is supported by returns.

Software Engineering

Turning a Mobile LiDAR Survey Into Overhead Line Geometry

5.6 km of conductor from a single survey

A processing chain that takes a raw mobile-mapping point cloud and returns the overhead electrical network as drawable geometry: conductor spans fitted with the curve a hanging cable physically follows, poles as 3D points, and every span carrying its own fit error, sag and support percentage so a reviewer can sort the doubtful ones to the top instead of inspecting all of them.

The finished result for one scanned sheet: the warped and trimmed aerial photograph beside its self-fit accuracy figure and the georeferenced GeoTIFF and world-file downloads.

Software Engineering

Georeferencing Scanned Aerial Photographs Without an Operator

Unattended, no control points placed by hand

A web tool that pins scanned mid-century aerial photographs onto the modern map on its own. It takes a rough area from the flight logbook, matches the old frame against present-day orthophoto imagery by overall landscape structure rather than by landmarks, and scores how much better the winning placement fits than the ones it rejected. Placements that do not clearly win are refused rather than written out.

The filters panel over the hexagon suitability map, combining a date range, category, site suitability score band, confidence level and attribute range.

Software Engineering

Web-Based Site Suitability Analysis Platform

A multi-criteria site suitability platform for an urban planning and development organisation in Saudi Arabia.

Data Production

Create a road map and road signs

A detailed 2D vector map of Prostejov for our Czech partners: communication lines, sidewalks, bike paths, parking and road signs with orientation.

Updating Building Database Using Orthophoto and Street View Analysis - 1 of 5

Data Production

Building Database Update from Orthophoto

Verifying existing buildings and adding missing ones using orthophoto, Street View and topographic maps, to bring the database back to current.

Updating the Topographic Database at 1:10,000 Scale - 1 of 5

Data Production

Topographic Database Update at 1:10,000

Updating a topographic database from orthophotomaps across 17,000 km²: verifying existing objects, correcting them and adding what was missing.

The UAV Geolocation Platform mid-run: the Satellite basemap tab open over a 155-frame sortie, with the selected area outlined on satellite imagery and a legend distinguishing confident fixes, coasting and vetoed lost-lock frames.

Software Engineering

Locating Drone Imagery Without GPS

A validated proof of concept that locates a drone photo with no satellite fix, matching it against a georeferenced orthophoto to return WGS84.

Data Production

Automatic tree recognition from orthophotos

We built a system that automates forest inventory. Using geoinformation technologies and machine learning, it locates trees accurately and quickly over large areas.

Data Production

Topological Verification and Correction

GIS-Point worked with a seabed mapping company on the accuracy and reliability of their geospatial data.

Frequently asked questions

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