InfraHub
InfraHub uses AI models to identify and catalog roadside assets and pavement distresses with high accuracy. The platform calculates standardized Pavement Condition Index (PCI) scores using established methodologies. This precise, geolocated data integrates seamlessly with existing infrastructure asset management systems for reliable decision-making.
- Artificial Intelligence
- Data & Analytics
- Construction Technology
- Enterprise Software
- Internet of Things
- Software Only
Funding
Funding not disclosed
Founders
Product
Problem
Managing road networks effectively requires accurate and up-to-date data on pavement conditions and roadside assets, which is traditionally collected through manual surveys that are time-consuming, costly, and prone to inconsistencies. This lack of reliable data makes it difficult for municipalities and transportation agencies to prioritize maintenance, allocate budgets, and track infrastructure changes over time.
Solution
InfraHub provides an AI-powered platform for automated road assessment and asset inventory management. The company uses high-definition 360-degree cameras to capture imagery, GPS, and telemetry data of road networks. Proprietary AI models then process these images to identify and assess pavement distresses and roadside assets, such as sidewalks, guardrails, and road signs. The resulting data is delivered through a cloud-based platform with map-based visualizations and predictive analytics, enabling users to efficiently plan maintenance, optimize budgets, and monitor infrastructure conditions. InfraHub's technology ensures consistent and accurate data collection, reducing the need for manual inspections and improving the overall management of road networks.
Target Audience
InfraHub serves state, city, and county Departments of Transportation (DOTs), municipal DOTs, Departments of Public Works (DPWs), Metropolitan Planning Organizations (MPOs), civil engineering firms, and regional Transportation Planning Organizations (TPOs).
Features
- AI-powered image recognition for identifying and assessing pavement distresses based on ASTM D6433 standards, calculating Pavement Condition Index (PCI) from 0-100.
- Automated asset inventory creation, identifying and geo-locating over 20 asset types, including sidewalks, guardrails, and traffic signals.
- Cloud-based platform for accessing, visualizing, and managing road network data, with data export capabilities in formats like shapefiles and Excel.
- Integration with existing GIS and asset management systems through flexible data import/export functionalities.
- High-definition 360-degree camera systems for capturing comprehensive road network imagery and telemetry data.
- GPS tagging and photogrammetry techniques to ensure geolocation accuracy within 2 meters.
- Data refreshes available every 6 to 24 months to monitor changes and trends in infrastructure over time.
- Secure, encrypted cloud storage solutions located on U.S. servers, ensuring data security and compliance.