T2

T2.auto is a technology company established in 2022 and based in Tokyo, Japan, focused on developing an autonomous driving platform to address the country's logistical challenges, particularly the shortage of truck drivers. The firm's primary objective is to build and implement a logistics infrastructure utilizing Level 4 autonomous trucks for trunk line transportation. This initiative aims to enhance the stability, productivity, and safety of distribution while also offering environmental benefits.

The company is developing a comprehensive autonomous driving system that integrates advanced AI and vehicle development technologies. Key technical elements of their platform include object recognition, self-position estimation, command decision-making, and vehicle control systems specifically designed for large trucks. While the ultimate goal is the deployment of Level 4 autonomous services, where vehicles can operate without a driver in specified areas like highways, T2 began commercial operations with Level 2 autonomous driving on July 1, 2025. This phased approach allows the company to gather data and refine its systems in a real-world operational environment.

T2's business model centers on providing advanced trunk transportation services to logistics companies, transportation firms, and other supply chain stakeholders. By offering a solution to the driver shortage, the company helps its clients improve operational efficiency, reduce costs, and enhance safety. The firm has secured significant financial backing, raising a total of $47.4M in funding, including a Series B round in March 2025. This capital supports the continued development and societal implementation of its autonomous driving technology.

Keywords: autonomous trucking, logistics technology, Level 4 autonomy, supply chain solutions, freight transport, autonomous vehicles Japan, distribution services, AI in logistics, vehicle control systems, self-driving trucks, trunk line transportation, transport infrastructure, logistics automation, fleet management systems, commercial vehicle technology, object recognition, self-position estimation, sustainable logistics, last-mile delivery technology