Making Asset Data Submission-Ready

Asset data made submission-ready before it ever reaches a regulator. We run a compliance gap analysis, standardise to the submission specification, and validate inside your QA, so errors are caught by us, not bounced back in review, and you meet the deadline without adding headcount.

• Compliance gap analysis with remediation report
• Standardisation to submission-ready format
• Validated before it leaves your organisation

Corridor scans turned into the layers your vegetation management and inspection teams act on. Powerline extraction and vegetation layers with ground/off-ground classification at 97% accuracy, so encroachment and clearance work runs on accurate data, not last year's survey.

• Powerline extraction and vegetation layers
• Ground/off-ground classification at 97% accuracy

The surface base your flood and subsidence models build on. DEM/DTM/DSM from LiDAR or survey data with contours and breaklines, so risk modelling starts from accurate ground, not approximation.

• DEM/DTM/DSM from LiDAR or survey data
• Contour generation and breakline editing

Decades of mixed records turned into clean, validated GIS layers at production speed. Network and asset feature extraction with topology validation, 5–10× faster than manual, delivered to your target schema, so legacy data stops blocking every modernisation project.

• Network and asset feature extraction
• Topology validation in every workflow
• Output in SHP/GML to your target schema

The ongoing upkeep that keeps your spatial database clean as volume grows. Format and legacy migration, deduplication, and CRS reprojection under dual-review QA at under 7% rework, so your asset data stays trustworthy through every investment cycle.

• Format and legacy migration
• Deduplication and CRS reprojection
• Dual-review QA, under 7% rework

A data team that absorbs AMP8 volume without you hiring for it. 1–10+ named engineers and a dedicated project manager, operational in two weeks, scaling with the investment cycle, so capacity follows the workload instead of a recruitment timeline.

• 1–10+ named engineers, dedicated project manager
• Operational in 2 weeks
• Scales with investment-cycle workload

Inspection and corridor imagery turned into georeferenced basemaps your asset teams can work from. UAV and aerial georeferencing, radiometric correction, and mosaicking, so drone surveys of substations, lines, and sites become usable map layers, not folders of raw frames.

• UAV and aerial georeferencing, radiometric correction
• Mosaic production and tiling

One consistent view of the network for every team that touches it. Network, status, and inspection records unified with role-based access for office and field, on PostGIS and GeoServer with no per-seat lock-in, so GIS, asset management, and field crews stop disagreeing on the same asset.

• Network, status, and inspection records unified
• Role-based access for office and field
• PostGIS and GeoServer, with no per-seat lock-in

The end of rebuilding the same report by hand every cycle. Automated pipelines connecting GIS, asset management, and field systems at 3–5× manual throughput, producing repeatable regulatory and compliance reports, so reporting runs itself instead of consuming a team.

• GIS connected to asset management and field systems
• 3–5× throughput vs manual handling
• Repeatable regulatory and compliance reporting

Sensor data on the asset map, turning condition into action before failures happen. Integration via LoRaWAN, NB-IoT, and MQTT with geo-zonal alerts by asset and location, plus flood and subsidence risk models fed by live data, so monitoring becomes prediction, not a quarterly review.

• Sensor integration via LoRaWAN, NB-IoT, MQTT
• Geo-zonal threshold alerts by asset and location
• Flood and subsidence risk models fed by live sensor data

Scans, models, and live sensors fused into one queryable 3D environment. LiDAR, BIM, and GIS terrain in the browser with strain, vibration, and tilt sensors mapped to asset models and long-term deformation tracking, so structural health is watched continuously, with alerts before a problem becomes a failure.

• LiDAR, BIM, and GIS terrain in browser-based 3D
• Strain, vibration, and tilt sensors mapped to asset models
• Long-term deformation tracking with alerts

Tools that keep working where the signal does not. Mobile apps with offline mode and sync on reconnection, live crew positions on the office map, and in-field capture straight into the asset database, so inspection and maintenance data flows in from anywhere, not just where there is coverage.

• Mobile apps with offline mode and sync on reconnection
• Live crew positions and telemetry on the office map
• In-field data capture straight into the asset database

Risk you can see before it happens, not after. Flood, wildfire, and subsidence risk models fed by live IoT sensor data for continuous prediction updates, so asset planning and emergency response work from a current risk picture, not a study from last year.

• Flood, wildfire, subsidence risk models
• Continuously updated from live sensor data

Move decades of asset GIS off ageing on-premise systems without losing data integrity. On-premise to cloud, desktop to web, with geodatabase consolidation and performance optimisation, so your asset platform stops being a maintenance burden and starts scaling with the investment cycle.

• On-premise to cloud, desktop to web
• Geodatabase consolidation and performance tuning

Every data source about an asset on one map. IoT ground truth, satellite, drone, and operational data fused with correlation analysis across sources, so condition, environment, and history are read together, not in separate silos.

• IoT, satellite, drone, operational data on one map
• Correlation analysis across sources