Road data
you can act on

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

15+ countries
Continuously updated
3DAI from Univrses

Know the network. Plan with confidence.

Road Condition AI Monitoring using 3DAI from Univrses

Accurate distress monitoring

Detect and track pavement distresses such as cracks, alligator cracking, potholes and more.

Pavement condition indexes

Monitor key condition indexes such as PCI, IRI and RMS3, frequently and accurately.

Verified 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. Strengthen every tender.

Traffic Sign Inventory using 3DAI from Univrses

Verify operations

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

Spot issues

Catch problems before they become costly.

Track your SLA

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.

See every street. Fix what matters.

Road condition monitoring with 3D reconstruction and high
frequency road data

One pass, every asset

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

Know what you own

Build a complete asset inventory where records may be missing or outdated.

Plan, don't react

Prioritise repairs before complaints and claims come in.

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.

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 6 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.

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A new era for
road maintenance

Take action on road data with 3DAI™