AI-Driven Road Condition Analysis as a Service
Monitor the condition and safety of roads and cycle lanes with automated AI algorithms. Turn raw footage into instant, map‑ready insights that cut costs and save time.

Backed by leading experts




- Analyzed more than 7000 km of roads
- GDPR & CCPA-complaint
- Premium support
Transform Data Into Safer, Smarter Infrastructure using AI
From map‑based visualisation and AI‑powered detection to field‑ready reporting, our toolset shortens the path from capture to maintenance action.
Map‑based data visualisation
Pinpoint or aggregate pavement issues on an interactive map and deep‑dive using street‑view navigation.
Automated issue detection
AI automatically classifies, prioritises and scores road defects, generating one‑click reports ready to share or print.
Field‑based reporting
Tag and document any issue in the field with accurate GPS, photos and notes for full maintenance context.
Privacy & open integration
GDPR‑compliant anonymisation plus open APIs and export formats for seamless integration with your GIS workflow.
Cost-effective Solutions to Assess Road Condition and Promote Safer Mobility
Flexible deployment, usage‑based pricing and built‑in privacy for results you can trust and budgets you can meet.
Flexible setup
Use your smartphone for rapid deployment or rent our high‑grade sensor device for enhanced data quality.
Pay‑per‑use pricing
Only pay when you capture data; no licences or lock‑in—perfect for pilot studies and seasonal campaigns alike.
Privacy by design
GDPR‑compliant pipeline with automatic face and licence‑plate anonymisation keeps people protected by default.
One Platform, Three Solutions
Select the capture and analytics tools that fit your project’s scale, budget and timeline.

ROAD SYSTEM Inspector
Purpose‑built hardware that turns any survey bicycle into a mobile road lab, capturing rider‑eye street‑view and multi‑sensor data in sync.
- Ultra‑wide 5.3K lens captures the cyclist’s true field of view
- Blends motion sensors with advanced GPS to locate every issue within a metre.
- Built‑in microphones and air‑quality sensors log noise, pollution, gas emissions and lighting levels together with surface data.
- Tap the trigger once and the LED bar confirms the point is logged without stopping.
ROAD SYSTEM Mobile
Bring your own phone and turn bikes, cars, vans or buses into high‑quality data collectors in minutes.
- Capture high‑resolution imagery that reveals fine cracks, potholes and faded markings.
- Phone GPS blended with motion sensors pinpoints every frame.
- Flag hazards with a tap; notes and extra photos are stored with exact coordinates.
- Footage syncs automatically to our cloud where computer vision spots defects and rates road quality.


ROAD SYSTEM 365
Central place to visualise, filter and export insights from either capture method.
- Zoom from network‑wide heat‑maps down to single‑frame imagery.
- Built‑in widgets track defect counts, risk scores and progress over time.
- Export PDF, CSV or live API feeds to your asset system in one click.
- Open APIs, data‑sharing formats and app embeds plug ROAD SYSTEM insights directly into your existing software.
AI Vision: Instant Road Defect Detection





Inspecting roads has never been so easy
We take care of all the rest.
Capture
Compute
Decide
Multi-awarded and supported by leading programs

EIT Urban Mobility
The EIT UM has contributed to the advancement of the solution. Through their support, they have facilitated testing and refinement of the ROAD SYSTEM™ in several cities, ensuring its alignment with urban mobility needs and promoting sustainable transportation solutions.

DOLL Living Lab
The ROAD SYSTEM™ has become an integral part of the DOLL Living Lab, the largest European Living Lab for Smart City Solutions. Collaborating with prominent stakeholders such as GATE21, Alexandra Institute, and KMD, the system actively contributes to large-scale projects aimed at improving predictive maintenance and maturing various use cases.

Most sustainable startup in the Nordics 2023
The ROAD SYSTEM™ was recognized as the most sustainable startup in the Nordics by the European Space Agency, emphasising its impact and its role in the green transition as a space technology (geo positioning of issues) to drive urban transitions.

Danish Tech Challenge 2023
The EIT UM has contributed to the advancement of the solution. Through their support, they have facilitated testing and refinement of the ROAD SYSTEM™ in several cities, ensuring its alignment with urban mobility needs and promoting sustainable transportation solutions.

Raptor Challenge Tallinn 2022
The stationary solution developed for ice and snow prediction was chosen for live testing in Tallinn, specifically in the City of Ülemiste. During the winter season, it successfully detected and alerted cyclists and authorities about snow and icy conditions, showcasing its effectiveness in ensuring safety and proactive measures.

5G Turbo Accelerator 2022
The ROAD SYSTEM's innovative approach has gained recognition and distinction as one of the top 10 technology startups selected by the prestigious 5G Turbo Accelerator Program. Among 244 participants, the solution stood out and garnered significant attention.
Upgrade your road infrastructure.
Join us today!
ROAD SYSTEM™: The Future of Road Safety.







