Meet the Finalists of the IRF Start-up Label 2022 Edition

September 20, 2022

Transforming mobility requires more than just technology and infrastructure. Transforming mobility requires innovation on all fronts: in the way we think, we plan, we design, and we deliver and manage transport systems.

The International Road Federation (IRF) believes that one way to boost that lack of innovation and needed change in the mobility sector is through start-ups. That is why, the IRF continues to support the most prominent start-ups in the sector through its initiative launched in 2021, the IRF Start-up Label. Awarded Start-ups will benefit from IRF’s most valuable assets for three consecutive years: unique knowledge and expertise, broad networking capabilities, and extensive data services.

The applications for the 2022 IRF Start-up Label closed on 31^st August, the date after which they went through a thorough assessment process. Each application was examined by a pool of IRF experts in charge of delivering a global evaluation of the company. Some of the criteria taking into consideration is: impact on IRF’s key fields of action; environmental and social impacts; level of innovation and the company’s capacity to protect it; market traction, its viability and scalability; and founders’ profiles.

The six finalists competing for the IRF Start-up Label will be pitching their companies at the upcoming IRF Annual Conference taking place in Marrakech on 6 October. Registration for the event is free, but make sure to secure your spot! Visit the event page to learn more.

Meet the six finalists competing for the 2022 IRF Start-up Label:

AIWaysion

AIWaysion, founded in 2021 by researchers at the University of Washington, United States, provides smart mobility solutions for safer and more efficient transportation. AIWaysion’s next-generation connected vehicles products leveraging Artificial Intelligence (AI), computer vision, edge computing, and Internet of Things (IoT) technologies are ideal to serve the diverse needs of smart transportation.

Visit website

Edge Vision

Edge Vision is a technology company that strives to improve transportation by digitising real-world, real-time transportation data and automating traffic flow management. Its edge AI-powered software provides insightful data to solve complex mobility problems, make intersections safer and help reduce greenhouse gas emissions.

Visit website

IRIS

Maintenance is critical to the safety and resilience of infrastructure, yet most technology that gathers asset condition data is expensive or impractical at scale. IRIs’ award-winning solution enables cities to monitor road infrastructure at a substantially lower cost by using dash cameras with artificial intelligence to detect road hazards and defects in real time.

Visit website

GoodVision

GoodVision Ltd was founded with the ambitious goal to help cities and the transportation industry increase their efficiency, via advanced technology and artificial intelligence. Their software combines AI and Big Data analytics to create a unique, intelligent solution for adaptive traffic control and urban planning, allowing traffic to flow based on more accurate traffic insights.

Visit website

Kerbed It

Kerbed IT specialises in utilising existing infrastructure, in particular kerbs, to develop innovative, disruptive and cost-effective multi-beneficial housing systems primarily aimed at private and public road networks. Its solutions support the growing needs for Electric Vehicles, specialist lighting solutions and enable stakeholders to deploy IoT, smart road, connected and autonomous vehicle technologies at unprecedented rates and a far lower cost than any other alternative available.

Visit website

Transconomy

Founded in 2022, Transconomy specialises in automatically extracting infrastructure assets and creating accurate GIS-based asset inventories from roadway images using Artificial Intelligence. Its solution streamlines the asset inventory process and work in harmony to provide innovative and cost-effective ways to perform data collection, processing, analysis and visualization.

Visit website