Road data
you can act on

Visual intelligence for road assets & surface conditions. Secure & GDPR compliant.

Up-to-date evidence for
maintenance reporting
Used in
15+ countries
3DAI from Univrses

Fix what matters. Prove every job.

One pass, every asset

Signs, lighting, drainage, road surface and more, captured in a single journey.

PAS 2161

Road condition data delivered in PAS 2161 format.

Know what you own

Build a complete asset inventory where records may be missing or outdated.

Budgets you can defend

Support maintenance decisions with evidence a council can stand behind.

Fair upkeep, everywhere

Spot areas quietly falling behind on maintenance.

Document liability

Deliver consistent, transparent outputs that stakeholders can trust across roads and time.

Know the network. Plan with confidence.

Accurate distress monitoring

Detect and track carriageway defects such as cracks, crazing, potholes and more.

Verify operations

Compare locations over time and catch problems before they become costly.

Automated asset inventory

Built and kept up to date for you.

Your data, anywhere, any time

Access road infrastructure data where and when you need it.

GDPR compliant

Anonymised with no personal data stored.

Prove every job with 3DAI

Verify operations

Confirm what’s been done and know what needs your attention.

PAS 2161

Road condition data delivered in PAS 2161 format.

Track your KPIs

See how performance stands against each commitment.

Generate evidence reports

Use timestamped, geo-referenced evidence to turn daily work into audit-ready proof.

Strengthen tenders

Deliver consistent, transparent outputs that stakeholders can trust across roads and time.

GDPR compliant

Anonymised with no personal data stored.

The evidence layer to support your next transparency report

England’s local highway authorities must publish an annual transparency report on how they maintain and invest in their roads. The Department for Transport uses this information to assess maintenance performance and determine eligibility for highways maintenance incentive funding. Its strengthened requirements support a shift towards preventative maintenance and long-term asset management, making a clear account of road conditions, maintenance priorities and delivered work increasingly important.

3DAI™ helps build the road condition evidence behind that work. Using cameras on vehicles already travelling the network, it turns road imagery into structured, geo-referenced data on surface defects and roadside assets. As vehicles return to the same locations, new observations build a visual record of how conditions change, giving your team a clearer basis for inspection, planning and follow-up.

AI road inspection for potholes and road condition over time

Seeing how potholes, cracks and surface wear develop over time helps teams understand where attention is needed. With 3DAI™, they can review observations across the network to identify deterioration, assess priorities and plan interventions before damage becomes more extensive.

The same record helps teams follow up on completed work. Images organised by time and location make it possible to compare conditions before and after an intervention, review visible changes and assemble evidence for handovers and maintenance reviews. Authorities and their contractors can work from a shared visual record when discussing what has been done and what still needs attention.

‍Available through a web interface and API, imagery and findings can feed into existing inspection, asset management and reporting workflows. Teams can use this evidence alongside engineering assessments and maintenance records to plan their work and explain the decisions behind it.

England using asset inventory for streetlights in 3DAI from Univrses
National Highways Logo

England had 110k streetlights classified in 90 days →

8,800

km of roads covered

95%

Accuracy in classification

0

Road closures needed

Helsingborg reduced its potholes by 70% using 3DAI
Helsingborg Logo

Helsingborg reduced their potholes by 70% in 5 months →

€17–25M

Estimated savings from early-stage road damage intervention

Up to 50%

Of inspection staff reallocated to other strategic tasks

1 hour

Weekly road status checks — down from 2.5 working days

Deployed in 15+ countries together with national road authorities & organisations.

Put road
data to work

Start a 3DAI pilot on your road network.
Use as evidence in your next report.

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