AI pavement assessment that evaluates road conditions, predicts
deterioration, and prioritizes maintenance across your entire network.
Traditional road assessment methods are slow, inconsistent, and leave
you without the visibility needed for smart infrastructure decisions.
Manual surveys take weeks, leaving you with stale data and reactive maintenance.
Human inspectors introduce variability — different ratings for the same road.
Isolated snapshots instead of continuous network-wide visibility.
RoadVision AI solves all three — continuously and automatically.
Watch the AI pipeline process your road data autonomously.
40+ distress types across all road surfaces, aligned with international standards.
Longitudinal, transverse, alligator, block, map, edge
Surface failures with depth and area assessment
Wheel path depressions and permanent deformation
Aggregate loss, flushing, and surface wear
Asphalt/binder overflow and surface slickness
Shoulder breaks, edge separation, and crumbling
Crescent-shaped cracks from layer movement
Cracks reflecting from underlying layers
Pavement surface displacement and unevenness
Condition, integrity, and re-cracking of previous repairs
Service line restoration quality and failures
Washboard ripples and surface undulation
Unpaved road erosion and depressions
Surface aggregate loss and instability
Material loss from water damage
Longitudinal, transverse, alligator, block, map, edge
Surface failures with depth and area assessment
Wheel path depressions and permanent deformation
Aggregate loss, flushing, and surface wear
Asphalt/binder overflow and surface slickness
Shoulder breaks, edge separation, and crumbling
Crescent-shaped cracks from layer movement
Cracks reflecting from underlying layers
Surface displacement and unevenness
Integrity, re-cracking, and failure of previous repairs
Service line restoration quality and failures
Washboard ripples and undulation
Unpaved erosion and depressions
Surface instability
Material loss from water damage
Interactive dashboards that put network-wide pavement intelligence at your fingertips.
Works with your existing RAMS. Full Data Export. Full ownership
Download everything. Use our APIs. Integrate with your stack.
Standardized, repeatable surveys at scale. No more manual debate on condition ratings.
Objective baseline and handover condition assessment. Proof of work completion.
Continuous network monitoring. Know condition degradation before complaints arrive.
Network-level visibility. Data-driven capital planning. Long-term asset optimization.
Transparent, repeatable intelligence across thousands of kilometers. Accountability built in.
Scale delivery without scaling headcount. Automate repetitive assessments and focus on high-value advisory.
Our models achieve over 94% consistency with certified manual inspections. The AI is validated against professional inspector assessments and aligned with ASTM D6433, AASHTO, and IRC standards for pavement evaluation.
Any standard dashcam or vehicle-mounted camera system with GPS and timestamp data works perfectly. Our proprietary RoadVision AI dashcam with edge processing capabilities launches in Q2 2025 for enhanced real-time analysis.
Absolutely. The platform offers seamless integration with GIS platforms, RAMS (Road Asset Management Systems), enterprise asset management tools, and BI dashboards through comprehensive API support.
We offer flexible options including usage-based pricing per kilometer surveyed for occasional assessments, or enterprise licenses for large-scale continuous monitoring deployments. Contact us for a customized quote.
Most organizations move from initial pilot to full production within 90 days. Our phased approach includes assessment, pilot deployment, validation against your ground truth, and full-scale rollout with training.
Integrating multi-modal data, predictive intelligence and enterprise
workflows to redefine infrastructure management worldwide.
Partner with us to build smarter, safer roads with autonomous AI technology