Inspections delivered —
from capture to decision in hours, not weeks.
SKAND is the operating layer for inspection programmes at scale. We ingest every capture format your field teams produce — drone, 360°, laser scan, SLAM, BIM — and deliver inspection-ready data in a browser. SKAND.ai removes the volume work so engineers close out reports, not spreadsheets.
Capture got 10× easier. The rest didn't.
Access, analysis, and decision-making still run on specialist desktop software, manual stitching of formats, and PDF screenshots emailed between teams. That gap is where inspection programmes stall — and it's where SKAND operates.
Five years ago, a building scan cost $50,000 and took a week. Today a drone captures the same asset in an afternoon, a 360° camera walks a rail platform in minutes, and a SLAM scanner maps an underground facility in real time.
SKAND closes the gap. Our spatial data operating system ingests every format your field teams produce and renders it inspection-ready in a browser. SKAND.ai then removes the volume work: trained models classify defects, flag changes, and route decisions to the engineers who should be making them. Inspection teams move from "can you export that as a PDF?" to a live, shared scene with annotations, measurements, and an audit trail.
- Focus
- Inspection at scale
- Sectors
- Rail, ports, utilities, AEC, education infrastructure, FM
- Geography
- AU · NZ · US, expanding
- Deployment
- Cloud, single-tenant available
- Delivery
- Browser — no desktop software
Four capabilities, one browser tab.
Every link below points to a SKAND help-centre article with full technical detail — embed or export alongside this statement as a single reference package.
Ingest every capture format
Inspection programmes are never single-sensor. SKAND ingests everything natively — no format conversion, no intermediate desktop software.
- Point clouds (.e57, .las, .laz), including E57 with embedded panoramas from Leica RTC360, Trimble X7, Matterport
- 3D Tiles from Agisoft Metashape, DJI Terra, RealityCapture, PIX4Dmatic, and Bentley iTwin Capture
- IFC BIM models, OBJ meshes, and DXF CAD for design-vs-reality comparisons
- Gaussian splats for photoreal rendering of complex geometry
- Orthomosaics and dynamic orthos/terrains for aerial inspections
- Panoramas, directional images, and Insta360 video
- SLAM data from OmniSLAM and XGrids for GPS-denied environments
- Managed Images to 3D Tiles Service for end-to-end photogrammetry
- Upload via dashboard drag-and-drop, iOS capture, or API; Data Management with search, download, sharing
Automate the grunt work with SKAND.ai
Manual defect review is the single largest cost in most inspection programmes. An engineer opens 312 images, tags defects by hand, transcribes them into a spreadsheet, and repeats on the next corridor. SKAND.ai replaces that loop.
- Custom model training against your own annotation templates — your inspection taxonomy becomes the label set
- Automated prediction across new captures; bounding-box predictions classified against your schema
- Every prediction spatially anchored to the 3D scene, traceable to training data, exportable alongside human annotations
- Engineers keep judgement; the model handles volume. No black-box automation.
Turn spatial data into decisions
Inspection intelligence is useless if it stays in the viewer. Every scene closes out in a report, a GIS export, or a live dashboard.
- Annotations in 3D, images, and panoramas with 2D↔3D cross-canvas linking
- Customisable templates — text, dropdown, checkbox, numeric per defect class
- Annotation groups, spreadsheet view, bulk update, filtering, and executable annotations
- Volumetrics and sectioning for earthworks, clearance profiles, surface change
- Reports with per-annotation selection, custom layouts, and mail merge. Export PDF, Excel, CSV
- Power BI integration for live dashboards
- Shapefile and GeoJSON export for GIS and asset registers
Share without friction
Inspection outputs need to reach contractors, asset owners, regulators, and executives — often people who will never log in to your platform. SKAND makes that a link.
- Share links with scoped layers, annotations, camera position, default coordinate system — no login required
- Dedicated stakeholder-sharing workflow for external deliverables
- Internal roles, permissions, user groups, and hierarchical access
- Worked end-to-end example: Engineering Inspection Tutorial — capture to report
Results from production deployments.
Each number below is drawn from live customer programmes — not a modelled projection.
| Roof defect review time (manual → AI) | 2 weeks → 4 minutes |
| AI defect detection throughput on road-structure sweep | 312 images → 847 detections in ~4 min |
| Point-cloud scale streamed in browser | 2+ billion points, no desktop software |
| Rail corridor managed in a single tenant | 700+ km (KiwiRail) |
| Client deliverable size reviewed in-browser | 40+ GB (Realserve) |
| Stakeholder delivery mechanism | Link, not file transfer |
Ten workflows running in production today.
Each one drawn from a live customer deployment — not invented to fit an asset class.
Wharf, berth & port infrastructure
01- Customer
- Geelong Port Authority
- Capture
- 360° camera (Insta360-class), drone
- Templates
- Pile corrosion, seawall defects, crane-rail wear, mooring-point condition, bollard integrity
Workflow
- Asset analyst walks the wharf with a 360° camera; SKAND processes footage into panoramas + sparse point cloud
- Scene georeferenced so every annotation lives at a real-world coordinate
- Structured condition templates capture defect class, severity, recommended action
- Results delivered to ops, contractor, and executive as a single share link
School & education portfolio inspection
02- Customers
- MEnD Consulting (WA state schools), Macutex (Victorian SAMS programme)
- Capture
- iPad panoramas, drone, terrestrial laser scan, IFC, DXF
- Templates
- Defect type · severity · recommended action. Structural, roofing, mechanical, electrical
Workflow
- Inspectors capture panoramas on iPads across schools; point clouds (.LAS), BIM (IFC), DXF CAD uploaded alongside
- Georeferencing aligns everything to GDA2020 / MGA Zone 53
- Defects annotated against custom template with version history
- Export to GeoJSON / Shapefile for the client's ArcGIS asset register
- Macutex delivery: SAMS Plan + Backing layers in weekly waves across Q1–Q4; live project replaces static PDFs
Facade, envelope & high-rise
03- Customers
- BE-CI (US), Duratec
- Capture
- Drone photogrammetry, terrestrial scan, directional imagery
- Templates
- Cracking, spalling, joint sealant failure, corrosion staining, glazing condition
Workflow
- Aerial capture per SKAND's aerial drone survey best practice
- Images processed to 3D Tiles locally or via Images to 3D Tiles Service
- Defect annotations on directional imagery with 2D↔3D cross-linking to the 3D mesh
- SKAND.ai trained on facade taxonomy flags candidates across thousands of images; engineer verifies
Roof & membrane inspection
04- Capture
- Drone photogrammetry (nadir + oblique), orthomosaic
- Templates
- Ponding, membrane blisters, flashing failure, penetration seals, panel deflection
Workflow
- Drone captures the roof; orthomosaic and 3D mesh co-registered
- SKAND.ai trained on roof-defect imagery flags candidates against your taxonomy
- Engineer reviews in 3D: accepts / rejects / reclassifies; final annotations exported
Rail/Road corridor, structure & bridge
05- Customers
- KiwiRail, Queensland Rail, V/Line, Sydney Trains, Veris
- Capture
- Mobile laser scan, terrestrial scan, drone photogrammetry, 360° video
- Templates
- Sleeper, fastener, fishplate, rail-head wear, ballast, culvert, signal mast, platform edge, bridge girder/deck/bearing
Workflow
- Corridor ingested from all sensors into one SKAND project, navigable by chainage
- Annotation templates codify the inspection standard once per asset class
- SKAND.ai trained on historic inspection imagery surfaces candidates across new captures
- Results exported to Shapefile / GeoJSON for the operator's asset register, or PDF / Excel for regulator submission
Transmission line & substation
06- Customer
- Veris (HumeLink transmission corridor)
- Capture
- Pegasus mobile-mapping system (directional + MLS), drone, terrestrial scan, iTwin Gaussian splats
- Templates
- Conductor sag, insulator condition, pole-top hardware, vegetation encroachment, tower corrosion
Workflow
- Pegasus MLS + drone + LiDAR ingested into one multi-layer corridor
- Sectioning extracts conductor clearance profiles against terrain
- Directional imagery reviewed against structured pole-mounted defect template
- SKAND.ai flags repeated defect types for engineer verification
Grain, storage & industrial facility
07- Customer
- Duratec (GrainCorp)
- Capture
- Drone, terrestrial scan, 360° walk
- Templates
- Silo skin condition, conveyor integrity, concrete spalling, corrosion banding, coating failure
Workflow
- Silos and storage captured from drone + ground
- Annotations per silo, grouped by asset ID and inspection round
- Volumetrics quantify internal stockpiles where interior captures exist
- Report delivered to facility owner; historical inspection layers preserved for trend analysis
Bridge, tower & tall structure
08- Capture
- Drone, terrestrial scan, 360° video for abutments / decks
- Templates
- AS/NZS 5100-aligned condition codes, element-level breakdown (abutment / pier / girder / deck / bearing / barrier)
Workflow
- Structure captured from multiple angles; co-registered as 3D Tiles + point cloud
- Element-level annotation group per structural component
- Cross-section through deck or girder against IFC design to surface deviation
- SKAND.ai trained on bridge defect imagery accelerates review across spans
Heritage, research & academic digital twin
09- Customers
- RMIT University, University of Tasmania
- Capture
- Terrestrial scan, IFC, photogrammetry, panorama
- Templates
- Heritage element condition, research observation schema, teaching annotation
Workflow
- Multi-source data (IFC + point cloud + panorama) on a single site — e.g. UTas Inveresk campus
- Students and researchers share project access via browser link — no software licence per seat
- Annotation templates configurable for specific research questions
Surveying firm client delivery
10- Customers
- Realserve, Veris, Harrison Grierson
- Capture
- Terrestrial laser scan (E57, LAS, LAZ), drone, 360°
Workflow
- Deliverables named by client and job (e.g. "89910 — Coles Mackay")
- Folder- and file-level share links give end clients (Coles, Lendlease, developers) read-only access to a curated project slice
- 19–40+ GB E57 files streamed in-browser; panoramas extracted automatically on ingest
- 6+ concurrent users on a single deliverable without scaling issues
Why customers choose SKAND.
AI that augments, not replaces
Humans keep judgement; the model handles volume. No black-box automation, no "the AI said so" defence in a regulatory review.
Your taxonomy, your model
Custom training on your annotation schema — not a fixed vendor library of generic defects. Your inspection standards stay yours.
One viewer, every format
Point cloud, mesh, BIM, splats, panoramas, and orthos layer in the same scene. No swivel-chair between five applications.
Evidence chain preserved
Every annotation, measurement, and prediction is spatially anchored to the underlying capture and audit-exportable to PDF, Excel, CSV, Shapefile, and GeoJSON.
Browser-native
Review corridors, facilities, or portfolios from a laptop — not a rendering workstation. Share results to anyone as a URL.
Encoded expertise
Georeferencing, coordinate transforms, and measurement workflows are designed so non-specialists achieve specialist-grade results.
Inspection service providers, asset owners, and operators.
Across rail, ports, utilities, AEC, education infrastructure, and facilities management. Duratec alone runs inspection programmes on SKAND across Flinders Ports, GrainCorp, and Western Australia's state school portfolio.
Enterprise-ready from day one.
Compliance
- Information Security Management System (ISO/IEC 27001)
- Cloud Services Information Security (ISO/IEC 27017)
- Selectable data storage region; single-tenant deployment available
Access & integrations
- Single sign-on (OIDC) with Microsoft Azure Active Directory
- Roles, user groups, and hierarchical permissions
- iOS capture app with native Insta360 integration and 360° capture best practices
- Integrations: Amazon S3, Azure Blob, SAP, IBM Maximo, Microsoft Power BI, REST API