Conigital offers a turnkey, automated, and optimized integration of CAVs into a local transport system. Utilizing AI and machine learning techniques, our ConICAV™ integrated solution improves asset management, customer experience, and operational efficiency. This means increased safety, higher efficiency, and a reduction in wasted time, and asignificant step towards on-demand MaaS (Mobility as a Service) and FaaS (Freight as a Service) solutions.

AI/ML

Information Technology

Transportation

Conigital Group

Don-Paul Dhaliwal

Viral Doshi

Steven M. Collins

Vamsheedar Reddy

David Wheeler

Cristopher Gómez

Chihab Eddine El Menyari

Brenton Leighton

Rob Smith

Nadhir Mezouar

Omar Jasim

Odysseas Kosmas

Abhi Naha

The Research and Design team at Conigital Group is responsible for innovating and refining the integrated solutions for connected and autonomous vehicles (CAVs). They leverage AI and machine learning to enhance asset management and user experience, while also focusing on cutting-edge design to ensure seamless integration within local transport systems. Their work is pivotal in driving advancements towards on-demand Mobility as a Service (MaaS) and Freight as a Service (FaaS) capabilities.

Research and Design

Engineering and Development

Research and Design

About

Team members

Other teams at Conigital Group

Engineering and Development