Vialytics

Vialytics

paid

Vialytics uses AI and computer vision to automatically assess pavement conditions and road assets, delivering actionable insights through a map-based dashboard for public works teams.

About

Vialytics is an AI-driven road management system designed specifically for municipalities and public works departments. As crews drive their road networks, the vialytics system automatically photographs the road surface every 10 feet, logging each image with GPS data and timestamps. Its proprietary AI algorithm then analyzes those images to detect pavement issues — including cracking, patching, potholes, and surface wear — while also identifying key infrastructure assets such as signs, manholes, storm drains, and road markings. All collected data is processed and made available within hours through a clean, map-based web dashboard, giving road managers a complete, objective, and up-to-date picture of their entire network. Teams can filter conditions by severity, set maintenance priorities, and generate work orders — all from one platform without manual inspections or guesswork. Vialytics is built for rapid deployment: most municipalities are collecting their first road insights within 4 weeks of signing up, with a dedicated customer success manager guiding onboarding, training, and long-term strategy. The platform has processed over 250 million road images worldwide and is used by communities ranging from small towns to major cities like Prague and Paris. It is an ideal solution for any municipality looking to move from reactive, ad-hoc maintenance to a proactive, data-driven road management program.

Key Features

  • Automated Road Image Capture: Captures a road photo every 10 feet while driving, tagged with GPS and timestamps, so teams collect data during normal operations without extra effort.
  • AI Pavement Condition Assessment: Detects cracking, potholes, patches, and surface wear automatically using a trained AI algorithm, providing objective and consistent condition scores across the entire road network.
  • Road Asset Recognition: Identifies and catalogs key infrastructure assets — including signs, manholes, storm drains, and lane markings — creating a comprehensive digital inventory alongside pavement data.
  • Map-Based Web Dashboard: Displays all pavement conditions, damage levels, and asset data on an intuitive browser-based map so teams can filter priorities, review results, and assign work orders from one place.
  • Work Order & Priority Management: Enables teams to set maintenance goals, prioritize repairs by condition severity, and generate actionable work orders directly from the platform to streamline budget allocation.

Use Cases

  • Municipal public works departments conducting annual or continuous pavement condition assessments across their road network.
  • City and county planners prioritizing road repair and resurfacing budgets based on objective AI-scored condition data.
  • Small towns and rural communities creating their first digital inventory of road assets like signs, drains, and manholes.
  • Government agencies needing audit-ready documentation of road conditions for grant applications or capital improvement plans.
  • Regional transportation departments tracking pavement deterioration trends over time to shift from reactive to proactive maintenance strategies.

Pros

  • Fast Time-to-Insight: Most municipalities go from signup to their first road condition insights within 4 weeks, with guided onboarding and a dedicated success manager accelerating the process.
  • Objective, Consistent Data: AI-driven image analysis eliminates subjectivity and inspector variability, providing repeatable condition scores that can be tracked over time.
  • Proven at Scale: Trusted by 1,000+ communities in 7 countries — from small towns of 15,000 to major cities of 1.4 million — demonstrating reliability across diverse road networks and team sizes.
  • No Complex Setup Required: The platform is designed for non-technical public works staff, requiring no specialized hardware or IT infrastructure to get started.

Cons

  • Municipality-Only Focus: Vialytics is purpose-built for local governments and public works teams; it is not suited for private property managers, logistics companies, or individual use.
  • Data Collection Requires Physical Driving: Road data must be gathered by driving all routes, so the quality and coverage of insights depend on how frequently and thoroughly teams conduct their drives.
  • Pricing Not Publicly Listed: Package pricing is not transparently published and requires direct contact with sales, which may slow evaluation for budget-conscious municipalities.

Frequently Asked Questions

How does vialytics collect road condition data?

Vialytics uses a camera-equipped device that automatically photographs the road surface every 10 feet as your team drives normal routes. Each image is logged with GPS coordinates and timestamps, then uploaded to the vialytics AI system for analysis.

How long does it take to get started with vialytics?

Most municipalities are up and running within 4 weeks. Week 1 covers kickoff and equipment setup, weeks 2-3 involve initial data collection and system testing, and by week 4 teams are reviewing condition assessments and setting maintenance priorities.

What types of road damage and assets can vialytics detect?

The AI detects pavement issues including cracking, potholes, patches, and surface wear. It also recognizes road assets such as signs, manholes, storm drains, and lane markings, creating a complete digital inventory of your network.

In which countries and regions is vialytics available?

Vialytics is trusted in 7 countries, with a dedicated presence in the United States. Communities in Germany, France, Czech Republic, and other regions also use the platform, and the company offers localized support.

Can vialytics integrate with existing public works workflows?

Yes. The web dashboard allows teams to generate work orders, set priorities, and export data directly from the platform. Vialytics also mentions interfaces and integrations that can connect with existing systems, and a dedicated success manager helps configure these for each municipality.

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