Head of Delivery
Geospatial data production for surveying and engineering teams
Send LiDAR, imagery or CAD. Degree-qualified engineers return classified point clouds, terrain, vector layers and Revit models in your specification.
<7%Rework rate
3–5×Faster with automation
BSc+All engineers
CET/BSTEU real-time · NA overnight
Geospatial data volumes grow 30-40% per year. Your headcount does not. Production quality depends on domain expertise - understanding coordinate reference systems, topology rules, and classification standards. You need a team that speaks your language from day one.
Who we serve
Production capacity for every geospatial vertical
A technical buyer who processes geospatial data for a living will not sign based on a deck. They sign based on a classified point cloud, a clean QA report, or a spatial dataset that is demonstrably better than what they currently receive.
GIS & Geospatial
Processing backlog against fixed delivery dates. Senior staff absorbed in production. Volume spikes impossible to staff for.
Demo task
1–5 km LiDAR corridor, full classification pass with accuracy report
Agriculture & AgriTech
Satellite imagery purchased but unprocessed. Field boundaries live in spreadsheets. No in-house GIS capacity for seasonal peaks.
Demo task
Field-boundary digitisation and NDVI processing pass on a sample area, analysis-ready layers returned
Architecture & BIM
Point cloud data captured on site but not processed. CAD-to-GIS conversion done manually, project by project. Scan-to-BIM requires specialist skills that take months to hire.
Demo task
Scan-to-BIM pass on a sample point cloud, Revit-ready output returned
Logistics & Mobility
Address errors drive failed deliveries. Routing and tracking data scattered across providers. Spatial features stall while the core roadmap ships.
Demo task
Geocoding and address-quality audit on a sample delivery dataset, error report returned
Utilities & Energy
Regulatory programmes require standardised spatial data submission. Asset data volumes outrun what the internal team can process inside the reporting window.
Demo task
Regulatory compliance gap analysis on a sample asset dataset, remediation report included
Fibre & Telecom
Post-M&A network data inconsistent across regions. Duct and pole access submissions come back for rework on data quality.
Demo task
QA pass and standardisation on a sample network dataset, schema-compliant output returned
Defence
Sensitive geospatial data requiring controlled-environment processing. ISR pipelines, C2 dashboards, and terrain models needed at speed. Western primes too slow and too expensive.
Demo task
Controlled-environment processing on a sample dataset, handling protocol included
What we deliver
8 production services, one quality standard
Every service follows the same dual-review QA process. Specialist engineers on every project. Semi-automated pipelines validated by domain experts.
All services · 8 capabilities for production
Ground/off-ground classification, powerline extraction, vegetation layers, building extraction, noise removal. Macro-automated classification, validated by experts on every dataset.
Formats
Input: LAS / LAZ / E57
Output: Classified LAS / LAZ
Digital elevation, terrain, and surface models from classified point clouds or survey data. TIN & raster output, contour generation, breakline editing.
Formats
Input: LAS / XYZ / TIN
Output: GeoTIFF / ASCII
UAV and aerial georeferencing, radiometric correction, seamline editing, mosaic production, and tiling. Colour-balanced, ready for GIS integration.
Formats
Input: Raw imagery + GCP
Output: GeoTIFF / ECW / MBTiles
Feature extraction to client or industry specifications. Building footprints, road networks, land parcels, 3D city modelling LoD1–LoD2, cadastral.
Formats
Input: Orthophoto / LiDAR
Output: SHP / GeoJSON / GML / DWG
Plan/section/elevation drawings, structural documentation, as-built preparation, CAD-to-GIS conversion. Standard-compliant output.
Formats
Input: DWG / DXF / PDF
Output: SHP / DWG / PDF
Point cloud to Revit models at LOD 200–500. Structural, MEP, and architectural elements modelled by engineers who understand both scanning and BIM.
Formats
Input: E57 / LAS / RCP
Output: Revit RVT / IFC
CRS reprojection, topology validation, deduplication, format migration, regulatory data preparation, legacy migration. The work that keeps your spatial database clean.
Formats
Input: Mixed formats
Output: Production-ready data
1–10+ named engineers embedded in your workflow. Dedicated project manager. Scale up or down monthly. No recruitment overhead. Any format, any toolchain.
Formats
Input: Your brief
Output: Your team
What sets us apart
Why you'll choose GIS-Point
The people on your project have processed this data before. They understand cadastral workflows, survey accuracy, and CRS requirements from day one. An extension of your team, not a replacement for it.
100% BSc+
Engineers with geospatial degrees
CRS, topology, cadastral workflows, survey accuracy standards. No domain ramp-up on your budget.
Surveying, geodesy, cartography and remote-sensing degrees.
<7%
Dual-review QA on every batch
Every deliverable passes two independent reviews before it ships. Rework stays under seven percent across all service types.
Tracked and audited across all services. Not a target.
2 weeks
From first call to production
Named engineers embedded in your workflow. Scale from 1 to 10+ monthly. No recruitment overhead.
Predictable monthly rate. Dedicated project manager.
CET/BST
Open standards, global delivery
Overnight turnaround for North America, same-day iteration for Europe. Send data at 9am, receive output by 3pm.
Full interoperability with industry-standard desktop GIS, ETL, and CAD tools.
Scope
What we do, and what we do not
This unit processes geospatial data you have already captured. We classify point clouds, build terrain and vector layers, draft CAD and model Scan-to-BIM, in your specification and your coordinate system.
In every batch
- Classified point clouds in your target classes, with the classification report.
- Terrain and surface models at the level of detail and grid you specify.
- Vector layers in your coordinate reference system, layer naming and folder structure.
- CAD and Revit deliverables built in your template.
- A QA pass by a second reviewer before anything is returned.
- An accuracy statement validated against your control data.
- Source files and deliverables returned in the formats agreed at intake.
What we do not do
- We do not capture data in the field. No survey crews, drones or scanners.
- We do not sign off or stamp deliverables as the engineer of record.
- We do not supply or resell software licences for your toolchain.
- We do not host or archive your data after handover beyond the retention window in your contract.
Commercials
What it costs
GBP, ex-VAT, on every locale. Each figure is a floor rather than a quote: the scope below it moves the number.
Defined scope
Per deliverable
Send a defined batch and receive it processed to your specification. Quoted before work starts.
from £1,000 ex-VAT
Volume, specification complexity, level of detail, turnaround.
Ongoing capacity
Dedicated back-office team
Named engineers working only on your account, inside your licences, templates and naming standards.
from £5,000 per named engineer per month, ex-VAT
Team size, seniority mix, notice period.
Multi-year
Managed production programme
A production programme run to agreed service levels across several data types. Scoped with you.
Scoped against your annual volume and the service levels you need.
A 5 km LiDAR corridor with a full classification pass and an accuracy report starts at £1,000 ex-VAT. The True-Cost Calculator gives an instant estimate for your own volume.
Estimate the costBefore you commit
Work out what you actually need, before you talk to us.
Two tools, no email required. One tells you whether this is a hiring problem or a capacity problem. The other gives you the whole plan we would run for you, so you can run it yourself if you would rather.
60-second diagnostic
Hire, embed, or hybrid?
Eight questions about your volume, timeline, licences and hiring market. You get a scored recommendation, including "hire someone full-time" when that is the honest answer.
What you get
HireHybridEmbed
8 questions~60 secNo email
Take the diagnostic →The full playbook15 days to added capacity, step by step
Diagnose the bottleneck, source and vet on real output, embed into your workflow. The same fifteen steps we run for clients, with the exit condition for each phase.
What you get
Days 1–5 diagnose6–10 vet11–15 embed
15 steps3 phasesSOW template
Open the checklist →If the answer is added capacity rather than a hire, that is the ongoing-capacity model above: a named, degree-qualified engineer on your pipeline, working in your tools and through your QA loop.
Start here
Talk to a geospatial engineer. Not an SDR reading a script.
Send a sample dataset and we will process it to your spec against published acceptance criteria. Three fields. The person who replies does the work.
- Clutch 5.0
- 570+ projects
- <7% rework (industry 15–40%)
- 500 km LiDAR in 4 days
Production, in numbers
Production-line numbers
570+
projects delivered
17+
years
40+
BSc+ engineers on the team
named seats · your hours.
97%
classification accuracy, validated against your control data
< 7%
rework rate, tracked
dual-check qa before every handover.
white-label delivery · 12+ countries · english-law contracts · uk-registered · nda from intake · 500 km lidar in 4 days
Who you work with
Your named project managers, and the leadership behind them
The same project managers run your account from intake to handover. Any replacement is agreed with you in writing, never silently.
Project Manager
Roman Nahaiovskyi
CEO & Owner
Ievgen Lavrishko
Head of Business Development
Andriiana Pavlyshyn
What clients say
Deep knowledge of data processing and geospatial technologies. The team consistently delivered high-quality results with minimal need for rework.
JE
Julien Ernst
Managing Director, GlobeZenit
Point cloud to 3D Revit model more quickly than we could have hoped. The level of detail at LOD 300 exceeded our expectations for a remote team.
Scan-to-BIM · LOD 300 · Point cloud to Revit
IC
Iain Cram
Partner, Bell Ingram
Production work we have delivered.
Production
Digital 3D Mapping from Mobile LiDAR
Two road networks, 1,135 km and 736 km, mapped as digital 3D from mobile LiDAR, orthophoto and aerial scanning data.
Production
Updating the Topographic Database at 1:10,000 Scale
17,000 km² of an existing topographic database checked against orthophotomaps, with objects corrected and missing ones added.
Production
BIM Modeling of Metropolitan House Serviced Offices
The digital documentation of an occupied multi-storey commercial building rebuilt from point cloud data, replacing a survey from 2012.
Frequently asked questions
From demo dataset to scaled production in four steps
Automated classification, QA, spatial ETL and format conversion carry the volume. A GIS engineer signs off every batch. You evaluate the output against your own standards before any commitment.
- 15 working days
Demo dataset
You send real data. We process it to your specs. 5 working days. You compare the output against your baseline.
- 22–4 weeks
First project
A paid project scoped to test the working relationship. Clear deliverables, agreed timeline, defined quality criteria.
- 3Week 4–6
Agree capacity
Named team members, dedicated PM, established QA workflow. Monthly retainer or per-project pricing.
- 4Month 2+
Scale production
Increase or decrease capacity as workload changes. Add new service types as needed. Your extended GIS department.
How we start
Send a demo dataset. We process it in 5 working days.
You send real data and your written specification. If the output meets it, we start the first project. If not, you have lost nothing.
English-law contracts · UK-registered · info@gis-point.com