LidarGuard: Managed LiDAR Processing

How it works

Three steps. No magic, no jargon.

You ship the LiDAR file. We classify and process it. You get an interactive dashboard. From there, the data flows wherever your maintenance workflow already lives.

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STEP 01

Send your LiDAR

Drop a LAS, LAZ, or COPC file from any source — drone, helicopter, vehicle-mounted, or terrestrial scanner. No format conversion, no preprocessing required on your end.

accepts: .las / .laz / .copc

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STEP 02

We handle everything

Storage, AI classification, vectorization, dashboard hosting, audit logging — all on our EU-resident infrastructure. Customer-isolated tier, encryption at rest, NIS2-compliant. No infrastructure investment on your side.

EU-resident · audit-logged · zero ops

STEP 03

You get a living system

Not files. A continuous platform. A live 3D control surface, automated risk monitoring, alerts when vegetation crosses thresholds, and direct API integration into your maintenance workflow. The files are just how the system talks to your other tools.

dashboard · monitor · alerts · API · reports

Not just a viewer — an integration point.

Because the data is already classified, vectorized, and risk-scored, it integrates directly into whatever maintenance system you already run. No custom adapters, no manual reformatting, no analyst-hours.

Maintenance scheduling (CMMS)

Work order management

GIS / asset registries

SCADA risk dashboards

Compliance audit logs

ERP / SAP modules

What processing actually looks like

Not a render. A real run.

14.24 million points. 0.518 km². Classified, vectorized, and packaged into deliverable files in under three minutes. Here's the dashboard from a sample drone-captured corridor file, processed on commodity hardware.

14.24M Points processed

2m 52s Total duration

10.8 m²/s Throughput

97% GPU peak

4 files Auto-deliverables

Processing dashboard — 14.24M points classified in 2m 52s, with auto-generated output products

sample_corridor_drone.laz · 124 MB · 14.24M pts · classified.copc.laz · ground_dtm.tif · chm_vegetation.tif · powerline_wires.shp Live operator dashboard · BioGuardNet-H pipeline

These four files aren't the product. The living platform is the product. The files are how the system talks to your existing tools — GIS, CMMS, SCADA, ERP. Plug them in, and the system stays alive in the background.

📦

classified.copc.laz

The full point cloud, semantically labeled. Ground, vegetation tiers, buildings, wires, towers — every point classified, ready for downstream tools.

🗻

ground_dtm.tif

Digital Terrain Model at 0.5 m resolution. The bare ground surface, suitable for hydrology, slope analysis, and infrastructure planning.

🌳

chm_vegetation.tif

Canopy Height Model — vegetation height per pixel, feeding directly into BioGuardNet-H for species and growth trends.

⚡

powerline_wires.shp

Vector shapefile of detected wires and towers. Drop straight into your GIS — corridor lines, tower coordinates, all geo-referenced.

UNDER THE HOOD · ARCHITECTURE ↓

The Architecture

Where your data lives. And how it gets back to you.

Your LiDAR files are stored in customer-isolated tiers on EU-resident infrastructure. We process, you receive. Single trust boundary, no cloud-vendor sprawl, no offshore data egress.

What this means in practice: Customer LiDAR files are stored in single-tenant, customer-isolated tiers on EU-resident infrastructure. AI processing runs on ephemeral GPU compute — files are loaded for the duration of inference and purged immediately after. Everything is audit-logged. The customer accesses results through a web dashboard or REST API — no infrastructure investment required on the customer side.

For very large network operators with specific data residency requirements that go beyond EU-resident managed compute, we discuss tailored deployment arrangements case by case.

Live Demo · Real LiDAR

Drag to rotate. Scroll to zoom. This is real LiDAR.

A sample corridor segment from public national LiDAR, rendered live in your browser. Slovenia GKOT · F08-50-04 sample. AI-classified point cloud — vegetation, ground, buildings, towers, fences. No login, no roundtrip. 577,887 points, fully interactive.

Live

F08-50-04 · Slovenia DSO corridor · 196 wires detected

Loading point cloud

connecting...

Source Slovenia GKOT · LAZ

Points 400,000 / 577,887 sampled

Area 2.01 ha · 235 × 86 m

Z range 38.8 m

This is the raw geometry. No AI overlay, no synthetic markers — just the real point cloud you'd get back, classified by our processing chain. Hover the legend to see what each class represents.

⬢ What LiDAR is. And what it isn't.

LiDAR is not a fault-detection tool. It doesn't read serial numbers off insulators, it doesn't see corona discharge, it doesn't replace a thermal camera. What it does — extremely well — is geometry: exactly where every wire is, exactly where every tree is, and exactly how close the two are to crossing safety thresholds. We do the geometry layer. Other inspections complement it. We integrate with all of them.

More than a viewer.

The same 3D view becomes a measurement tool, a corridor designer, a satellite-validated diagnostic — and exports a full PDF report.

Wire drawing · 5 towers · 330 m total length Live operator dashboard

⚡ Wire drawing

Design corridors directly in the point cloud.

Click to place towers, draw conductors, and the platform automatically validates every wire against the cm-precise LiDAR. No CAD round-trip, no separate modeling — the design tool sits inside the same 3D view your operators already use.

Up to 5 towers per corridor segment, extensible
Auto-detected wire heights from the point cloud
Clearance validation against vegetation
Export as GeoJSON or feed into the GIS layer

Satellite + LiDAR corridor analysis — same span, two sensors, two timeframes

Satellite + LiDAR fusion · 2 sensors · 2 timeframes · 2 information types The satellite detects, the LiDAR validates

🛰️ Sat + LiDAR fusion

Two sensors, two timeframes — one diagnostic surface.

The satellite detects vegetation change continuously across the entire network. The LiDAR validates with cm-level structural precision. Toggle between the two views — or fuse them. Buffer zones, NDVI overlays, corridor trends, span-by-span risk classes: all in the same canvas.

Live satellite imagery overlay
Configurable buffer zone (default 15 m)
NDVI corridor trend chart with multi-year history
Span-level risk class (HC0–HC3) with measured trend

AI-generated corridor analysis report — risk score, point distribution, vegetation rating, PDF export

AI Analysis Report · risk score · class distribution · PDF export One-click corridor diagnostic

📊 AI Analysis Report

From point cloud to PDF report. One click.

Click "AI Analysis" in the viewer and the platform generates a full corridor diagnostic: classification distribution, network-vegetation risk per height class (HC0–HC3), combined risk score with the measured trend, and a one-click PDF export ready for procurement or compliance review.

Auto-generated corridor summary in plain language
Point cloud class distribution with percentages
Network-vegetation risk by height class
Combined risk score (0–100) with category & trend
One-click PDF export, fully formatted

LiDAR + Satellite

One sensor isn't enough.

The LiDAR captures structure with cm precision — but you only fly it once a year. The satellite watches continuously but can't measure exact distances. Together, they tell the full story.

Same span. Two sensors. Two timeframes.
The satellite detects. The LiDAR validates.

🛰️ Satellite · Sentinel-2

Continuous monitoring

Every usable pass, every span. NDVI, vegetation indices, change detection over the entire network — the machine pre-labels, an expert validates.

AI-enhanced resolution
Cloud-free composite per orbit
Multi-year time series (since 2015)
Free, public-domain imagery

📡 LiDAR · ground truth

cm-precise structure

Every individual wire, tower, and tree. 3D positions, exact clearance distances, vegetation height — the ground truth that calibrates everything else.

cm-level point precision
Per-class semantic labels
3D structure: wires, towers, canopy
Captured on customer schedule

Span-by-span risk, with the measured trend.

For every span in the network, the satellite NDVI trend shows how the vegetation is changing. The LiDAR validates current clearance. The model fuses both into one risk score per span, refreshed with every usable satellite pass.

You don't get a "report." You get a live diagnostic surface across your entire network — span by span, week by week.

Span 4 · 3,109 m · 4 urgent flagged Live diagnostic from operator dashboard

The Network Effect

Every project makes the next one better.

We process, validate, and contribute model improvements back to a federated pool — anonymized, opt-in, raw data never leaves your platform.

01

Customer ships LiDAR

You send a LAZ file. We classify, vectorize, deliver an interactive 3D dashboard with risk-prioritized work orders.
02

We co-register with Sentinel-2

Same date, same area. The cm-precise LiDAR pairs with Sentinel-2 spectral indices — paired training data, all in EU-resident, customer-isolated processing tiers.
03

Federated update

Only model gradients (not raw data) flow back to the BioGuardNet training pool. You keep full data sovereignty.
04

Every customer benefits

Next quarter, all participating utilities receive an improved model. The investment compounds.

From file to living system

You hand us a file. We give you back an organism.

Any LiDAR source. One processing platform. A continuous, integrated control surface — not a static report. €50/km buys the system, not the files.

YOU GIVE US

UAV / Drone

DJI · Zenmuse · custom

Fixed-wing

Aerial mapping

Helicopter

Long corridor

Vehicle-mounted

Mobile mapping

Archive / Custom

National LiDAR · custom .laz

.las · .laz · .copc

⬢ TALAMONE PLATFORM

Living system

€50/km

EU-resident · NIS2-ready · managed end-to-end

YOU GET

📺

Interactive 3D control surface

Browse, measure, design corridors, validate against ground truth

🔍

Continuous risk monitoring

Sentinel-2 continuous monitoring · NDVI tracking · span-level trends

⚠️

Threshold alerts

Vegetation-to-wire crosses safety bounds → notification → work order

📄

One-click PDF reports

Corridor diagnostic · risk score · audit-ready export

🔌

Direct API to your tools

CMMS · GIS · SCADA · ERP — plug in, system stays alive

an organism, not a deliverable

Pricing

One number. Flat. Public.

No per-feature surcharges. No mandatory subscriptions. No "contact for quote" obfuscation.

€50

per km · processed

€50/km includes everything. Your only job is to hand us the file. Storage, processing, dashboard hosting, audit logging — all on our EU-resident infrastructure, all included. No infrastructure investment on your side.

Aerial classification (ground/veg/build)

Powerline detection (wires + towers)

BioGuardNet-H height regression

Wire/tree clearance reports

Interactive 3D dashboard (90 days)

Work orders (CSV / GeoJSON / API)

Sentinel-2 change overlay

NIS2-compliant audit log

⬢ Volume pricing & tailored deployments.
Significant volume discounts available for network-wide deployments above 1,000 km. For very large network operators with specific data residency requirements that go beyond EU-resident managed compute — including customer-perimeter installations — we discuss tailored arrangements case by case.

LiDAR cost per km

How much does LiDAR processing cost per km?

LiDAR processing costs $90 per mile (€50 per km) of line corridor, flat. The price includes classification (ground, vegetation, buildings), powerline detection, wire-to-tree clearance reports, the interactive 3D dashboard for 90 days, work-order exports (CSV, GeoJSON, API) and the audit log. There are no per-feature surcharges and no mandatory subscription.

Is the LiDAR flight included in the price?

No. The price covers processing a point cloud you already have or commission from a survey provider. Any LAS or LAZ source works. Flight costs depend on the provider, terrain and distance, so we do not publish a benchmark for them.

Are there volume discounts for a whole network?

Yes. Network-wide deployments above 1,000 km get volume pricing, discussed case by case. The same applies to operators with data-residency requirements beyond EU-resident managed compute.

Can I test the processing before paying?

Yes. On the self-service LiDAR page you can run sample datasets without an account and watch the whole run. Your own LAS or LAZ file can be processed free of charge, in limited numbers, as a demonstration: ask for an upload code on the same page. Open the self-service LiDAR analysis →

Do I need LiDAR on the whole network?

Usually not. Satellite monitoring covers the whole network continuously and flags the spans where vegetation risk is building. LiDAR is then flown and processed only where exact clearance is needed, which keeps the expensive data where it matters. Satellite, LiDAR, drone or vehicle: which one, when → · Vegetation management cost benchmark →

From point cloud to work order.
Hours, not weeks.

See every wire, every tree, every clearance gap.