AI Road Asset Management Software

Roadside Asset Management
Breaks at Scale

Traditional road asset inventory methods leave you with outdated registers,
expensive field operations, and compliance gaps.

Asset registers are outdated the moment they're created. New signs appear, old ones disappear, and no one updates the database in time.

Manual asset surveys need lane closures, field crews, and repeat site visits—slow, expensive, and hard to repeat.

Missing signs, damaged barriers, and poor visibility are discovered only after inspections or incidents.

From Road Video to
Road Asset Inventory

An AI road asset management agent that creates and maintains a
living roadside asset register without manual surveys.

Detect Detects roadside assets from video

Geo-Tag Creates geo-referenced inventory

Classify Identifies asset types & attributes

Assess Assigns Good/Fair/Poor/Critical

Track Tracks changes between surveys

Flag Flags maintenance priorities

Detect Detects roadside assets from video

Geo-Tag Creates geo-referenced inventory

Classify Identifies asset types & attributes

Assess Assigns Good/Fair/Poor/Critical

Track Tracks changes between surveys

Flag Flags maintenance priorities

RoadSide Asset Management
Dashboard

Complete visibility into your network's roadside asset inventory
and condition—all in one GIS-basedroad asset management interface.

Asset Map View

GIS-based map showing all detected roadside assets with real-time location markers and status indicators.

RoadVision AI roadside asset map showing detected signs and barriers with condition status

GIS-based map showing all detected roadside assets with real-time location markers and status indicators.

Searchable inventory of all asset types organized by category, with filtering and sorting capabilities.

Condition ratings (Good/Fair/Poor/Critical) for every asset with trend analysis and maintenance priority.

RoadVision AI roadside asset map showing detected signs and barriers with condition status | Video-Linked Assets

Click any asset to view the original video frame for visual verification and audit purposes.

Compare survey snapshots over time to identify newly installed, missing, or damaged assets automatically.

Designed to
Integrate, Not Replace

Works with your existing road asset management system (RAMS).
Full data export. Full ownership.

Export Formats

PDF Inventories GIS Layers CSV Files API Access

Compatible With

GIS Platforms Asset Management Government Systems

Data Ownership

Your data stays yours. Full export, anytime.

Designed for
Day-to-Day Road Asset Operations

Road Authorities

Fewer surprises, better compliance

Reliable asset registers without manual surveys.

Survey & Consulting Firms

Higher margins, quicker delivery

Faster asset inventories with consistent outputs.

Road Operators & Concessionaires

Faster response, lower risk

Continuous visibility of safety assets.

Maintenance Contractors

Clean handovers, fewer disputes

Clear asset lists before and after work.

Frequently Asked Questions About
Road Asset Inventory

Road asset management software keeps a register of roadside assets such as signs, barriers and lights, with their location and condition. RoadVision AI's agent builds and updates that register automatically from road video, replacing manual field surveys.

Every survey run updates the inventory automatically. You can conduct surveys as frequently as needed—weekly patrols, monthly inventories, or continuous monitoring—and the asset database updates in near real-time with new, changed, and missing assets flagged.

Each asset is rated Good, Fair, Poor or Critical, with its location, asset type and a video frame as visual reference. Changes between surveys are tracked so deterioration and missing assets show up early. .

Our models are trained on thousands of miles of real-world roadside asset data, validated against manual field audits and certified asset surveys. Accuracy exceeds 92% consistency with manual inventories. All asset detection includes human-in-the-loop review for verification before assets are added to the live inventory.

Standard deployment is cloud-hosted on AWS with ISO 27001 and SOC 2 compliance for scalability and reliability. For specific data residency, regulatory, or security requirements, the system is cloud-agnostic and can be deployed on-premise. All asset data is encrypted in transit and at rest with role-based access controls and audit logging.

The agent flags changes between surveys—damaged assets are marked with their condition status (Poor / Critical), and missing assets are identified when they're no longer detected in their last known location. You receive alerts and can prioritize repairs or replacements immediately.

Both agents run on the same road footage. The pavement condition intelligence agent rates the road surface, and this agent inventories and rates everything beside and above it, so you get one view of the corridor.

The Road Ahead

Continuously Evolving
Autonomous Capabilities

Integrating multi-modal data, predictive intelligence and enterprise
workflows to redefine road infrastructure management worldwide.

Join the Revolution

Ready to Stop Chasing
Road Asset Data?

Partner with us to build smarter, safer roads with autonomous AI road asset management technology

Book a road asset management demo

Road Asset Management Software

Autonomous Road Assets Engineer

Roadside Asset Management
Breaks at Scale

The Inventory Problem

The Field Effort Problem

The Compliance Problem

From Road Video to
Road Asset Inventory

Roadside Asset Inventory Coverage