The agricultural, construction and mining industries are facing very similar challenges: a constantly growing pressure on productivity, quality and ecological sustainability, with sparse production resources such as land, water and energy availability and shortage of well-educated labor. Driveblocks develops a scalable autonomy stack tailored to the specific technical and business needs of mobile machinery. Combining machine learning with a multidomain foundation model and a unique multimodal sensor fusion algorithm, we achieve superior performance in critical scenarios with ten times less data demand. Our modular AD stack and universal data model enable scaling to various industries.

• Pressure to increase productivity, labor shortage and safety are the main drivers making automation of mobile machinery a highly attractive business
• The technical challenge is the robust and reliable perception of the environment under real-world conditions
• In contrast to passenger car applications, mobile machinery is low volume and therefore requires a more universal, adoptable and data-efficient AD stack