Robotiz3d

Road maintenance becomes expensive when teams see deterioration too late. A road may appear serviceable on the surface while cracks are already developing beneath the decision threshold, moving toward failure faster than another section that looks worse at first glance. Robotiz3d helps councils and highway operators close that gap by turning road-condition data into earlier, more defensible maintenance decisions.

Its ARRES EYE platform gives infrastructure teams a clearer view of where defects exist, how severe they are and how quickly sections of the road network are deteriorating. Rather than offering a static snapshot of visible damage, the system captures dimensional, time-sensitive intelligence that helps asset managers prioritise intervention before small defects become disruptive failures.

Mounted on a vehicle roof rack in approximately 15 to 20 minutes, ARRES EYE scans pavement surfaces at normal traffic speeds of up to 100 kilometres per hour. The portable system streams data over 4G or 5G to Robotiz3d’s cloud-based processing platform, where its proprietary AI identifies and classifies road defects, separating them from healthy pavement and other road features.

What makes the platform valuable is not detection alone. ARRES EYE provides the geometry behind the defect, including length, width, depth, area and repair volume. Depth, in particular, gives councils a practical basis for understanding urgency. It also allows repair teams to estimate material requirements before crews are deployed.

“We shift from reactive patchwork repairs toward a more predictive and datadriven model of road asset management,” says Paolo Paoletti, co-founder and CTO.

From Scan to Action

For councils, road intelligence must fit into daily operations. ARRES EYE is designed to make that transition simple. Data can be reviewed through Robotiz3d’s web interface, visualised in GIS or pushed via APIs into existing road asset management systems. This allows teams to leverage the intelligence within the workflows they already trust, rather than adding another disconnected platform.

The system also maps defect severity to each customer’s code of practice. If one council requires a pothole deeper than 40 millimetres to be repaired within two hours while another uses a different threshold, ARRES EYE can tailor classification accordingly. Initial results can reach around 85 to 90 percent accuracy in near real time, with a secondary QA process refining outputs to 98 to 99 percent accuracy for compliance reporting and pavement analysis aligned with PCI, IRI and PAS 2161 standards.

We shift from reactive patchwork repairs toward a more predictive and datadriven model of road asset management.

That speed changes how maintenance is planned. Instead of relying solely on periodic inspections or manual reporting, councils can identify which defects need immediate attention, which sections are degrading over time and where resurfacing, micro-patching, or other interventions should be planned.

The economic value is equally practical. By knowing defect volume in advance, teams can reduce asphalt overestimation and limit material waste. In one deployment, a customer estimated roughly 40 percent savings in material waste.

In one UK local authority deployment, ARRES EYE completed a full network scan in days rather than the months typically associated with manual inspections. The resulting data helped the council identify sections of the network deteriorating faster, contributing to reduced pothole formation in treated areas while strengthening its evidence base for a Section 58 defence and delaying disruptive resurfacing activity.

Toward Preventive Repair

Robotiz3d is extending this approach through ARRES PREVENT, an autonomous crack-sealing vehicle currently in prototype development. The system combines ARRES EYE’s inspection capability with automated sealing technology that treats early-stage cracks with millimetre-level precision, helping prevent water ingress and further pavement deterioration.

As a spin-out startup, Robotiz3d is also open to collaboration with local authorities, contractors, technology partners and sector experts interested in advancing predictive road maintenance.

Robotiz3d’s larger promise is clear: road networks that can be inspected continuously, prioritised intelligently and repaired before deterioration becomes costly, disruptive and harder to control. That approach underpins its recognition as the Top Road Maintenance Technology Services in UK 2026.