PaveSight AB is a leading Swedish infrastructure technology company that provides edge-compute road surface scanning by deploying vehicle-mounted stereoscopic vision arrays onto municipal utility fleets, including waste management and public service vehicles. As these vehicles navigate standard routes, PaveSight's on-device tensor processors analyze road optics in real time at up to 120 frames per second, detecting structural anomalies such as potholes, rutting (spårbildning), alligator cracking, and longitudinal degradation without transmitting raw camera feeds to external cloud servers. By executing 3D depth reconstruction directly on edge hardware, the system calculates exact defect dimensions—including depth, surface area, and required repair volume—with sub-centimeter accuracy. All collected pavement telemetry strictly conforms to "Bära eller brista," Sweden’s official SKR (Sveriges Kommuner och Regioner) handbook for municipal road condition assessment. This decentralized scanning model enables local authorities and road contractors to transition from reactive repairs to predictive maintenance while preserving full GDPR compliance.
Transforming Municipal Infrastructure
With Edge AI & Verification
PaveSight AB is a leading Swedish infrastructure technology company registered in Karlskrona with operational hubs in Stockholm and Gothenburg. We empower municipalities and road contractors with real-time stereoscopic vision and edge AI road intelligence.
Swedish Operations & Engineering Excellence
Combining academic research with real-world infrastructure scanning.
Karlskrona, Stockholm & Gothenburg Presence
PaveSight AB is a Swedish infrastructure technology enterprise dedicated to modernizing municipal road condition surveying and pavement maintenance. Registered with its official seat in Karlskrona and maintaining key operational hubs in Stockholm and Gothenburg, PaveSight develops continuous road intelligence solutions for public road authorities and municipal infrastructure managers.
Vehicle-Mounted Edge AI
Our proprietary core technology combines vehicle-mounted stereoscopic vision arrays with real-time edge computing modules. Installed on existing municipal utility fleets such as waste collection trucks and public transport buses, our edge hardware continuously scans road surface optics. The system detects potholes, rutting (spårbildning), alligator cracking, and surface degradation on-the-fly without needing cloud processing.
SKR Handbook Alignment
PaveSight’s road inspection methodology strictly complies with "Bära eller brista," the official Swedish SKR (Sveriges Kommuner och Regioner) handbook for road condition assessment. By automating pavement condition rating into standardized municipal GIS feeds, PaveSight provides objective, repeatable surface health index scores across urban and rural road networks.
Real-World Deployment & Operational Testbeds
Proven performance alongside leading Swedish infrastructure managers and transport authorities.
Bollnäs Field Evaluation with Svevia & Trafikverket
PaveSight has been running a major real-world field evaluation project in Bollnäs involving leading infrastructure maintenance contractor Svevia and the Swedish Transport Administration (Trafikverket). The evaluation demonstrates continuous automated pothole detection, rutting depth measurement, and road surface profiling under harsh Swedish winter conditions.
Karlskrona Municipal Road Testbed
PaveSight maintains its active primary testbed on Karlskrona's road network, continuously evaluating vehicle-mounted edge-AI road surface scanning under real-world municipal operating conditions. By aligning surface defect classifications with the official SKR (Sveriges Kommuner och Regioner) "Bära eller brista" handbook, road managers gain real-time visibility into asphalt degradation.
FOUNDER INSIGHT & TECHNICAL PERSPECTIVE"By executing computer vision and depth tensor inference directly on vehicle edge hardware, PaveSight eliminates the bandwidth bottlenecks and privacy risks of cloud-video streaming. This allows municipal road authorities to continuously assess pavement health with absolute objectivity, standardizing data against 'Bära eller brista' standards while maintaining 100% GDPR compliance."
Meet Our Founders
Innovative founders backed by national Swedish innovation awards.
SKAPA-Talang Blekinge Award ()
The founding team won the prestigious SKAPA-talang award for young innovators in Blekinge in for groundbreaking work in AI road inspection.
Venture Cup Regional Winner ()
Named Regional Winner in Venture Cup , recognizing PaveSight's disruptive vehicle-mounted AI infrastructure technology.
Företagarna 103 Unga Idéer ()
Featured in Företagarna's national list of "103 unga idéer ", highlighting Sweden's most impactful emerging business concepts.
Fabian Zander
Co-Founder
Co-founder driving customer engagement, strategic growth, and product alignment.
Albert Florinus
Co-Founder
Co-founder leading artificial intelligence development, machine learning pipeline architecture, and automated pavement defect detection algorithms.
Hassan Kassar
Co-Founder
Co-founder specializing in hardware-software integration, embedded edge computing architecture, and vehicle-mounted sensor array engineering.
Jalal Sankar
Co-Founder
Co-founder leading machine vision systems, optical depth reconstruction, and stereoscopic camera array development.