About Roadly

Roadly provides a smartphone-based solution for automated road condition surveys using artificial intelligence to detect pavement distresses. This technology enhances road maintenance efficiency by delivering real-time analytics and GPS data, enabling municipalities to prioritize repairs and improve infrastructure safety.

```xml <problem> Traditional road condition surveys are often time-intensive, costly, and require specialized equipment, leading to infrequent updates and potentially delayed maintenance. Manual inspections are prone to subjective assessments, while LiDAR-based solutions can be resource-intensive, hindering efficient infrastructure management. </problem> <solution> Roadly offers a smartphone-based platform for automated road condition assessment, leveraging AI to detect and classify pavement distresses and road assets. The system uses a standard smartphone mounted in a vehicle to capture video, which is then processed using a SLAM engine and machine learning algorithms to identify issues like cracks, potholes, and other defects. Roadly provides near real-time analytics, including GPS coordinates for each detected distress, visualized on a web-based map. This enables municipalities and DOTs to streamline inspection processes, prioritize repairs, and make data-driven decisions for both short-term maintenance and long-term capital planning. </solution> <features> - AI-powered detection of pavement distresses, including cracks, potholes, and other surface defects - Automated road asset inventory, including traffic signs, reference markers, and guardrails - Real-time GPS coordinates for each detected distress, enabling precise location and efficient dispatch of maintenance crews - Web-based map visualization of processed data, with options for daily, weekly, monthly, and quarterly reporting - Compatibility with existing GIS and work order systems for seamless data integration - SLAM-based engine for accurate 3D localization of pavement distresses - Algorithms for marker detection, text recognition, and localization of road reference markers </features> <target_audience> Roadly primarily targets municipalities, departments of transportation (DOTs), and automotive companies seeking efficient and cost-effective solutions for road condition monitoring, asset management, and HD mapping. </target_audience> ```

What does Roadly do?

Where is Roadly located?

Roadly is based in London, United Kingdom.

When was Roadly founded?

Roadly was founded in 2022.

How much funding has Roadly raised?

Roadly has raised 500000.

Location

London, United Kingdom

Founded

2022

Funding

500000

Employees

28 employees

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Roadly

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Executive Summary

roadly.uk 300+

Crunchbase

Founded 2022 – London, United Kingdom

Funding

Estimated Funding

$500K+

Team (25+)

No team information available.

Company Description

Problem

Traditional road condition surveys are often time-intensive, costly, and require specialized equipment, leading to infrequent updates and potentially delayed maintenance. Manual inspections are prone to subjective assessments, while LiDAR-based solutions can be resource-intensive, hindering efficient infrastructure management.

Solution

Roadly offers a smartphone-based platform for automated road condition assessment, leveraging AI to detect and classify pavement distresses and road assets. The system uses a standard smartphone mounted in a vehicle to capture video, which is then processed using a SLAM engine and machine learning algorithms to identify issues like cracks, potholes, and other defects. Roadly provides near real-time analytics, including GPS coordinates for each detected distress, visualized on a web-based map. This enables municipalities and DOTs to streamline inspection processes, prioritize repairs, and make data-driven decisions for both short-term maintenance and long-term capital planning.

Features

AI-powered detection of pavement distresses, including cracks, potholes, and other surface defects

Automated road asset inventory, including traffic signs, reference markers, and guardrails

Real-time GPS coordinates for each detected distress, enabling precise location and efficient dispatch of maintenance crews

Web-based map visualization of processed data, with options for daily, weekly, monthly, and quarterly reporting

Compatibility with existing GIS and work order systems for seamless data integration

SLAM-based engine for accurate 3D localization of pavement distresses

Algorithms for marker detection, text recognition, and localization of road reference markers

Target Audience

Roadly primarily targets municipalities, departments of transportation (DOTs), and automotive companies seeking efficient and cost-effective solutions for road condition monitoring, asset management, and HD mapping.