INFRASTRUCTURE CONDITION DATA AT SCALE
RabbIT helps infrastructure owners build a broader, more current view of asset condition — turning simple field observations into structured, quality-assured data for better prioritisation and planning.
COMMERCIAL EVIDENCE · SKANDERBORG MUNICIPALITY
Skanderborg Municipality manages a municipal portfolio of approximately 17,800 street-lighting masts. During the first eight-week RabbIT campaign, employees collected 4,478 registrations, creating a broad visual condition-data foundation for portfolio analysis and targeted professional follow-up.
Skanderborg purchased a second eight-week campaign — continuing the work of building a more current condition-data foundation.
registrations in the first eight-week campaign
THE PORTFOLIO CHALLENGE
Distributed infrastructure is difficult to keep in view. Condition information ages between inspections, assets are spread across wide areas, and specialist capacity is finite. Prioritisation becomes harder when the evidence is incomplete.
01
Which assets have current condition evidence — and which are still unknown?
02
Age and asset records provide context. They do not reveal everything visible in the field today.
03
A broader screening layer can help owners focus professional follow-up where it is most useful.
A BETTER FOUNDATION
01
Enable guided observations across geographically distributed portfolios.
02
Turn simple observations into a defined dataset with quality assurance.
03
Combine condition evidence with asset data to support questions, planning and targeted follow-up.
A screening layer alongside professional inspection. RabbIT captures visual observations to broaden condition evidence and help target specialist resources. It supplements professional inspections; it does not replace structural testing, electrical safety checks or specialist judgement.
HOW RABBIT WORKS
Questions, scope and existing asset data
Guided field observations in RabbIT Catch
Review and quality assurance
Link observations with master data
Portfolio analysis and agreed reporting
Existing asset/master data + guided field observations + QA → structured condition dataset → portfolio analysis.
TRY RABBIT CATCH
You don’t need to be an infrastructure specialist to make a useful observation.
Experience a guided RabbIT Catch registration using real street-lighting photographs. Assess visible condition, identify what you observe and see how individual registrations contribute to a broader picture of your infrastructure portfolio.
Try RabbIT Catch →
CONNECTING EVIDENCE WITH CONTEXT
What is visible today?
Age, characteristics and location
Explore patterns and identify where professional follow-up can add value.
FLAGSHIP CUSTOMER CASE
Skanderborg’s campaign went beyond registration volume. Employee observations were reviewed, then connected with master data to test questions about age, asset characteristics and location.
The result was a documented condition picture and a foundation for exploring patterns and deciding where professional follow-up could add value. A second campaign continued that foundation.
SOLUTIONS
Our strongest current commercial application: visual condition evidence for municipal lighting portfolios.
Cable-cabinet field-test evidence demonstrates speed, participation and learning about data quality.
We explore the fit for other visible, identifiable and geographically distributed assets where observations can be standardised, building on our street-lighting campaigns and cable-cabinet field test.
ENGAGEMENT IS PART OF DELIVERY
Collection depends on people taking part. RabbIT combines onboarding and support with communications, varied campaign sprints, recognition, rewards and behaviour design. These mechanisms help participation sustain momentum through the campaign.
FROM PERIODIC INSPECTIONS TO INFRASTRUCTURE INTELLIGENCE
A single campaign creates a condition picture. Repeated campaigns can make that foundation broader and more current — and create better opportunities to compare observations over time.
Guided observations, quality-assured datasets and agreed analysis for portfolio decisions.
Repeated campaigns can grow the evidence base. Our longer-term ambition is to build on that foundation with benchmarking, condition models and predictive insight.
START WITH YOUR PORTFOLIO
Tell us about your assets, the information gaps and the decisions you need to make.