4D-360-AI

4D-360-AI

Spatial intelligence for utilities, smart cities & transportation

The field changes faster than crews can re-survey it.
One drive-by · measure everything · keep your GIS current.

The problem

Field reality goes stale the day you capture it.

Utilities, cities and road networks all fight the same gap — the world moves faster than crews can re-survey it. Where it hurts:

Utilities

You can't maintain what you can't see.

  • Network records drift from reality the moment a crew leaves the field.
  • Pole & line inspection is manual, costly, and puts crews beside live assets and traffic.
  • Vegetation encroachment drives outages and wildfire liability — invisible between visits.
  • Condition & compliance reporting demand verifiable, measurable as-built data.

Smart Cities

A digital twin you can't afford to keep current isn't a twin.

  • No accurate, up-to-date inventory of signs, lighting, furniture, curbs and street trees.
  • Urban tree & canopy management is manual — health, growth and risk go untracked.
  • Departments work from inconsistent, siloed, out-of-date spatial data.
  • Digital-twin programs stall on the cost of keeping the model alive.

Transportation

Every sign and marking, measured — without walking live lanes.

  • Sign, marking, guardrail & signal inventories are manually surveyed and quickly outdated.
  • Condition & compliance checks (legibility, clearances) are slow and labour-intensive.
  • Pavement, clearance & roadside assets need repeatable, network-wide measurement.
  • Safety mandates require current roadside data — crews shouldn't gather it in traffic.

One drive-by addresses all three — here's how ↓

1

Capture

Lidar / Imagery

INPUT

  • 360° video
  • survey-grade GPS + IMU
  • + capture rig

OUTPUT

  • video/photo frames
  • camera intrinsics
  • trajectory
$100 / mo · $1,000 / yr
Join wait-list →
2

Feature Extraction

Video Analysis & 3D Point Cloud → Assets

INPUT

  • imagery
  • dense point cloud
  • measurable 3D scene

OUTPUT

  • poles, wires, vegetation
  • as GeoJSON / CSV
$200 / mo · $2,000 / yr
Join wait-list →
4

Conflation

conflate.IT

INPUT

  • landbase
  • network
  • shift vectors
  • network constraints

OUTPUT

  • adjusted landbase & network
  • statistical analysis
$400 / mo · $4,000 / yr
Join wait-list →

The bundle

$1,000 / user / yr software

$11,000 first year with the optional $10,000 capture-rig hardware (one-off).

Capture

Drive a corridor with the roof-rack 360° camera + GPS rig — the footage is the raw material everything else depends on. Then verify it on foot: the 4D-360 phone app doubles as a centimetre-accurate RTK rover, so a field tech walks up to any extracted asset and captures its true position to a few centimetres. Ground-truth QA in the field — no survey crew, no total station.

Feature Extraction

Turn the drive into dense point clouds, photo-real navigable scenes, and asset inventories (poles, wires, vegetation).

GIS Integration

Push detected assets into your enterprise GIS as proper typed records — not just imported geometry.

Phone Video → 3D Point Cloud

A single phone-camera pass around a parked Toyota Land Cruiser, fed into the 4D-360 pipeline. The AI inspects every frame to pick the optimal reconstruction method, then produces a measurable, navigable 3D scene.

AI visual intelligence

Land Cruiser with roof rack and additional equipment parked on a quiet residential street. The vehicle is surrounded by suburban houses, mature trees, and well-maintained lawns. The frames show the camera orbiting around the vehicle, capturing front three-quarter, rear three-quarter, side, and various angled views. The lighting is natural daylight with some overcast conditions, providing even illumination without harsh shadows. The scene has good visual complexity with varied textures from the vehicle's surfaces, foliage, and architectural elements in the background.

Source: 1920 × 1080 @ 29.99 fps · 48.55 s · 1456 frames

Conflation

Rigorous constrained least-squares network adjustment for landbase migrations. Honours straight-line, right-angle, and parallel constraints.

Pre-conflation: utility network overlaid on the old landbase, showing misalignment with the aerial imagery.Shift applied: the network has been rigorously adjusted onto the new landbase.

What we do

Three capabilities, one end-to-end pipeline.

From sensor to insight — we operate the full stack so you don't have to stitch vendors, GPUs, and formats together yourself.

LiDAR / Imagery Data Acquisition & Extraction

Field capture with survey-grade sensors, followed by photogrammetric reconstruction and point-cloud extraction at production scale.

  • Mobile & UAV-based 360° capture
  • Survey-grade georeferencing & 3D reconstruction
  • Dense, metric point-cloud generation
  • Frame extraction & scene undistortion

Digital Twins as a Service (DTaaS)

Managed 3D environments — streamed, queryable, and continuously updated. You consume geospatial truth without owning the pipeline.

  • Dense 3D point clouds & measurable scenes
  • Hosted, versioned scene delivery
  • API access for downstream apps
  • Incremental re-capture & change detection

GIS / AI Integration

Bring your spatial data to life — we fuse captured environments with GIS layers and apply AI models tuned for your domain.

  • Custom detection & segmentation models
  • GIS layer fusion (CAD, BIM, shapefiles)
  • Automated feature detection at scale
  • API/webhook integrations with your stack

What one drive-by delivers

Survey-grade geometry, meet AI throughput.

Every artifact is metric, georeferenced, and ready for enterprise-GIS ingestion — no custom plugin, no scale-free reconstructions.

Survey-grade measurement

  • cm absolute, <1 cm relative — WGS84 via PPK, overlays natively on GIS basemaps
  • Metric by construction — every pixel carries lat/lon/alt; no post-hoc scaling
  • Continuous through canyons — GPS-gap fill (+ IMU dead-reckoning) keeps precision through vegetation & tunnels
  • Volumetric + CAD-ready — pole diameter, wire sag, canopy volume, clearance, BIM/CIM export — measured post-drive
  • One drive replaces many visits — inspection, inventory, change-detection from the same 10 min/mile pass

AI feature extraction

  • Full 360° at every station — 6-view rig, no asset hidden on the blind side
  • Unique asset counts — 3D-aware dedup collapses 30+ views of the same pole into one inventory record
  • Detections arrive as GIS features — bbox + class + lat/lon/alt, loadable into your GIS feature classes as-is
  • Photoreal change detection — navigable 3D scenes enable virtual re-inspection across repeat drives, no truck roll
  • Open-format delivery — PLY, OBJ, JSON — no proprietary reader required

GIS Integration

From drive-by to your GIS feature class.

Your GIS stays authoritative. 4D-360 feeds it — detections become features, measurements become attributes, repeat drives become work orders. No custom importer, no scale-free guesses.

Native enterprise-GIS ingestion

  • Schema-matched output — detections JSON maps 1:1 to your GIS feature classes (Pole, Transformer, Conductor, Meter, Cross-arm)
  • Attributes auto-filled — height, diameter, material, condition derived from 3D geometry + AI, written into feature attributes on import
  • Sub-metre positional precision — assets drop into the correct parcel / feeder on first attempt, no manual snap-to-grid
  • Change-aware re-drives — delta against the existing feature classes emits ready-to-dispatch work-order rows
  • Authoritative source preserved — your GIS remains the single system of record, 4D-360 only feeds updates

Domain-tuned AI for grid assets

  • Utility vocabulary out-of-box — pole / transformer / cross-arm / insulator / conductor / meter classes pre-trained on grid captures
  • Smart-grid compatible — outputs feed DMS / SCADA / network-management situational-awareness overlays without custom transformers
  • Condition assessment — rust, sag, clearance, vegetation encroachment scored per asset
  • Fine-tuned to your fleet — your captures retrain the model on your specific hardware vendor mix

Case study

Phone video → 3D point cloud.

A single pass with a phone camera, fed into 4D-360's pipeline. The AI inspects every frame to pick the optimal reconstruction method, then produces a measurable, navigable 3D scene.

Land Cruiser with roof rack and additional equipment parked on a quiet residential street. The vehicle is surrounded by suburban houses, mature trees, and well-maintained lawns. The frames show the camera orbiting around the vehicle, capturing front three-quarter, rear three-quarter, side, and various angled views. The lighting is natural daylight with some overcast conditions, providing even illumination without harsh shadows. The scene has good visual complexity with varied textures from the vehicle's surfaces, foliage, and architectural elements in the background.
— 4D-360 AI describing the source clip

Source video: 1920 × 1080 @ 29.99 fps · 48.55 s · 1456 frames

Why 4D-360

Built for zero-egress scale.

Our infrastructure is engineered around one principle: you shouldn't pay to move your own data. Every byte stays in-network from capture to delivery.

$0

Egress fees · always

200 GB+

Typical capture payload

3D

Dense metric point clouds

24/7

Burst GPU availability

About 4D-360

Built on four decades of spatial expertise.

4D-360 is built on 45 years of experience in geodesy, photogrammetry, GIS, IT business-system integration, and AI imagery/LiDAR research — delivered for utilities, telcos and smart cities across Australia, New Zealand, the USA, Canada, France, Germany and India. We're actively seeking investors to scale it. Read our story →

Get in touch

Let's build your digital twin.

Utilities, Telcos, Smart Cities, Transport, infrastructure, mining, or mobility — tell us what you need captured and we'll scope the engagement.

hello@4d-360.com →