GoPro / Dashcam Video
Capture high-resolution, geo-located video for GIS-based pavement and asset inspections.
Road Asset Inventory & Management System
From road survey to decision-ready data
AI-assisted platform for pavement and asset survey, monitoring and assessment.
AI-assisted road intelligence platform
Road surveys, asset inventory and condition data in one connected platform
RAIMS brings road surveys, asset inventory, condition assessment and PCA intelligence together, so survey footage becomes data you can act on.
AI-Assisted Asset Tagging & Condition Assessment
AI automatically detects, tags and assesses road assets and pavement distresses, including potholes and cracks.
Pavement Analytics
Analyse pavement indicators such as IRI, rutting, cracks, surface texture and PCI for better decision making.
TEAMS / TRAMS Reports
Generate fully compatible reports with JKR & LLM outputs. Customisable on request.
How it works
How RAIMS turns road survey video into decision-ready data
Five steps from the survey vehicle to a TEAMS-ready report.
- 1
Record the survey
Drive the route with a GoPro or dashcam mounted on the survey vehicle, capturing geo-located video of the road and its assets.
- 2
Upload and match chainage
Upload the footage. RAIMS aligns GPS points to KM posts and chainage, and splits the run into road segments.
- 3
AI tags and assesses
AI detects and tags road assets such as signs and traffic lights, and assesses asset condition and pavement distresses.
- 4
Review and analyse
Verify results against the footage, then analyse IRI, rutting, cracking and PCI in the Workbench with an audit trail on every edit.
- 5
Export TEAMS-ready reports
Generate reports compatible with JKR TEAMS / TRAMS for maintenance planning and submission.
Platform modules
From footage to findings, module by module
Each module picks up where the last one ends: tag the assets, assess their condition, review the corridor and analyse the pavement.
01
AI-Assisted Asset Tagging
Automatically detect, classify and map road assets from survey footage. Generate structured inventories rapidly with AI-assisted tagging, map-based review and scalable project setup.
- AI-Powered
- Asset Tagging
- Structured Inventory
- Map-based
02
AI-Assisted Road & Asset Condition Assessment
Detect, assess and report road-asset, road condition and surface distresses using advanced AI. Generate severity summaries and structured reports for maintenance planning.
- Asset Condition
- Road Distress
- Report Output
- Maintenance Planning
03
Orthophoto
Transform forward-facing GoPro survey video into high-resolution orthophoto views for inspection and corridor review. Combine video, streetview and mapped context for clearer visual understanding.
- Video-to-Orthophoto
- Streetview Sync
- Map Overview
- Video
04
PCA Data Workbench
Review pavement condition data using strip charts, map-linked analytics and segment comparison. Analyse IRI, rutting, MTD, all cracks and PCI to support prioritisation and reporting.
- Strip Charts
- Defect Comparison
- Trend & KPI
- Export-Ready
Why RAIMS?
Less manual work, more reliable road data
AI takes on the repetitive tagging and assessment, so your team spends its time on review and decisions.
- less manual work
- 90%
- less manual work
- AI accuracy
- 91%
- AI accuracy
-
Centralised road information
-
Improved chainage accuracy
-
Up to 90% less manual work, with 91% AI accuracy
-
Faster delivery of results
Gallery
See RAIMS in use
Screens from the platform in the order the work happens, from recording a survey run to QA before submission to TEAMS.
Road intelligence, connected
Partner with us to build a smarter, AI-assisted road asset network now.