TIER IV and Elm Partner on Autonomous Driving in Saudi

TIER IV, a leader in open-source autonomous driving software, has partnered with Elm. Elm is a developer from Saudi Arabia. They focus on digital services and mobility solutions. They will work together to improve self-driving technology in the Kingdom. The partnership seeks to speed up the growth of sovereign autonomous mobility. It will also boost smart mobility services and help local engineers. This matches Saudi Arabia’s long-term goals for innovation.

Elm and TIER IV are joining forces. Elm brings its expertise in smart mobility for the Middle East. TIER IV has a strong record with Autoware in Japan. Saudi Arabia and Japan are teaming up to create safe and scalable autonomous vehicles. These solutions will meet the kingdom’s special transportation needs and rules. They will enhance their partnership to drive innovation and grow the economy in both the public and private sectors. TIER IV and Elm will collaborate on key areas to reach these goals.

Under the agreement, TIER IV and Elm will collaborate in several key areas.

These efforts include:

• Promoting new mobility services like robotaxis that fit Saudi Arabia’s needs.
• Start training programs using Autoware in universities. This will help develop future engineering talent.
• Supporting the Autoware ecosystem in Saudi Arabia and the Middle East helps Saudi Vision 2030 succeed.

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This bold plan seeks to change the Kingdom’s economy and society. It will diversify the economy, enhance private-sector skills, and improve life quality. By 2030, 15 percent of public transport will run on its own.

Japan’s Ministry of Economy, Trade, and Industry backs this partnership. Autonomous technology advances because of global teamwork.

TIER IV leads Autoware, the first open-source software for self-driving cars. They partner with leading car makers, Tier 1 suppliers, transport operators, and system integrators around the world. The company focuses on workforce development. It provides training programs and competitions for self-driving cars using AI. These help build skilled talent for the future of mobility.