Maintain-AI: Automated Pavement Assessments
Maintain-AI helps road asset managers and transportation agencies monitor pavement health. It is designed for teams that need to identify defects more frequently than traditional annual surveys allow.
At a glance
- Category
- Construction
- Best for
- Government agencies, Transportation agencies, Road asset managers
- Pricing
- Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website, though the company mentions flexible commercial options and a test drive option.
- Key use cases
- Road condition assessments, Footpath and walkway monitoring, Maintenance budget optimization, Infrastructure inventory
- Official website
- www.maintain-ai.com/
Maintain-AI is an automated road surface inspection platform that uses artificial intelligence to assess the condition of pavements and footpaths. By analyzing images, the software identifies defect types and severity, as well as other infrastructure elements like line markings and signage.
The tool is designed for road asset professionals, transportation agencies, and asset owners. It supports a workflow where data is collected via phone uploads, processed through machine learning, and presented in dashboards for budget planning.
Buyers should note that the company describes the tool as a support system rather than a total replacement for all existing pavement network analysis techniques. Those looking to move away from manual surveys or expensive specialized vehicles may find this a scalable option for consistent monitoring.
Key Features
Uses computer vision to identify and categorize pavement distresses and infrastructure elements from images.
Supports the collection of road network data via mobile uploads for analysis.
Produces reports that include treatment suggestions and implied repair costs.
Provides metrics such as the ePavement Quality Index, eRider Comfort Grade, and ePaser Index.
Lists roads within a network in order of suggested maintenance priority to help optimize budgets.
Use Cases
Automating the identification of pavement defect types and severity across a road network.
Detecting trip hazards, cracking, and other defects on sidewalks to support pedestrian safety.
Using objective data and cost-benefit rankings to help determine where to apply preventive treatments.
Capturing and assessing non-defect attributes like signage and line markings from the same image sets.
Best For
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website, though the company mentions flexible commercial options and a test drive option.
FAQ
Data is collected by scanning the road network and uploading images via a phone to the analytics service.
Yes, the platform is also designed to collect and analyze data for footpaths and sidewalks.
It generates performance information, including treatment suggestions, implied repair costs, and cost-benefit value rankings.
The provider mentions flexible commercial options and a test drive option without a long-term commitment.
Source category: Construction
Source subcategory: Computer Vision
