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VisionRoad

VisionRoad offers an AI‑powered platform that automates roadway maintenance inspections, enabling faster detection of defects and wear on airport runways and other critical surfaces. By processing visual data with machine‑learning models, the system provides real‑time safety assessments and maintenance recommendations, helping airports improve operational reliability and reduce inspection costs.

Traction 10/10
New York
Founded 202111210K+ followers
  • Artificial Intelligence
  • Enterprise Software
Updated 4 months ago

Funding

Raised to date

$16.6MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

2 founders

Dries Carmeliet

Co-founder & CPO

Nolan Tremelling

CTO

Product

Problem

Airport runways and taxiways require frequent visual inspections to identify pavement cracks, foreign object debris, and surface degradation. Traditional manual surveys are labor‑intensive, subject to human error, and can cause operational delays that affect safety and airline scheduling.

Solution

VisionRoad provides an AI‑driven inspection platform that autonomously scans airport pavement using mounted cameras and drones, generating high‑resolution 3D models of the surface. Computer‑vision algorithms detect cracks, potholes, and other defects, classify severity, and prioritize repair actions. Detected issues are automatically logged in a cloud database, where predictive maintenance models suggest optimal repair windows to minimize runway downtime. The system delivers real‑time alerts and integrates with existing airport maintenance management software, enabling operators to schedule work orders without manual data entry and to track remediation progress from detection to completion.

Target Audience

Primary customers are airport operators, aviation maintenance organizations, and civil engineering firms responsible for runway and taxiway upkeep.

Features

  • Autonomous data capture via fixed‑mount or drone‑borne high‑resolution imaging systems
  • Deep‑learning computer‑vision models that identify and grade pavement defects with sub‑centimeter accuracy
  • Automated generation of 3D surface maps and defect heat‑maps for visual review
  • Predictive maintenance scheduling that optimizes repair timing to reduce runway closures
  • Secure cloud platform with API integration to standard airport maintenance and asset‑management systems
  • Real‑time alerting and reporting dashboard accessible on desktop and mobile devices
This profile is AI-generated and may contain inaccuracies.