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Fetii is an AI-driven mobility platform
Fetii is an AI-driven platform utilizing high-capacity vehicles to move groups with the click of a button. No more splitting up. No more outdated charters. Fetii transports millions of riders each year and operates nationwide.
Fetii is an AI-driven mobility platform focused on on-demand group ridesharing, enabling high-capacity vehicles for group travel summoned in minutes. It emphasizes AI-powered efficiency in coordinating group transportation.
The platform enables users to summon high-capacity vehicles for group rides in minutes using Fetii AI. It positions itself as an AI-powered group rideshare solution, coordinating on-demand transportation for groups through its mobility platform.
Who itβs for: Groups and organizations requiring efficient group transportation (e.g., corporate teams, event attendees, school or campus groups, travel planners) seeking AI-assisted coordination for on-demand rides.
Matthew Iommi is the Co-founder and CEO of Fetii, a fast growing rideshare platform that aims to decongest cities and provide a superior transportation experience. Fetii utilizes a network of 15-passenger vans to move groups and businesses together, removing unnecessary vehicles off of the road and reducing congestion. As of 2022, Fetii has transported over 617,000 passengers and completed over 49,000 trips. Matthew earned an Economics and Business degree from Texas A&M University.
Co-Founder & CTO at Fetii. I'm a technology entrepreneur currently focused on building a platform that aims to make group transportation accessible and easy for groups and businesses across the world.
Fetii utilizes high-capacity vehicles to allow groups and businesses to ride together, on-demand!
Fetii operates a group rideshare platform using 15-passenger vans to transport groups and businesses on-demand, with a QR code check-in for paying individuals or the whole group. They report profitable growth, 510k+ passengers served, and corporate clients in Texas, with expansion plans nationwide.
From the original launch (Jun 2022) β may be outdated.

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