Divergent and webAI Partner to Integrate AI into Industrial Hardware Systems | Hardware devices | Hardware components of computer | Hardware and software of computer | Turtles AI

Divergent Technologies and webAI announced a strategic collaboration to integrate generative AI into hardware systems, with a focus on industrial robotics, logistics and vehicles. The partnership combines Divergent’s expertise in digital manufacturing with webAI’s innovative distributed intelligence to develop smarter, safer and more responsive hardware in industries such as aerospace, defense and automotive.

Key Points:

• Divergent and webAI Strategic Partnership: The agreement between the two companies aims to integrate generative AI into hardware systems, with a focus on industrial robotics, logistics and vehicles.
• Smart and Secure Hardware Systems: The collaboration will lead to the creation of more advanced, responsive and secure hardware, with applications in the aerospace, defense and automotive industries.
• Innovation in Digital Manufacturing: Divergent, through its DAPS™ system, improves industrial manufacturing by improving efficiency, reducing costs and optimizing the design and assembly of complex structures.
• WebAI and its distributed intelligence: WebAI integrates AI models directly into local hardware, ensuring security, privacy and high performance, without depending on cloud resources.

Lukas Czinger, co-founder and CEO of Divergent, emphasized that this collaboration brings companies closer to the goal of creating a fully digital manufacturing system, enabling the large-scale production of next-generation products. David Stout, founder and CEO of webAI, added that the integration of AI into the Divergent platform not only improves the production process, but also redefines the operation of advanced hardware systems, making them smarter and safer.

Divergent has developed the Divergent Adaptive Production System (DAPS™), a system that combines software and hardware for industrial digital manufacturing. DAPS™ optimizes the design, additive manufacturing and automated assembly of complex structures, reducing the use of materials and production costs, with applications in the automotive, aerospace and defense sectors.

The collaboration with webAI represents a further step in the evolution of intelligent industrial systems, with the aim of making AI more accessible and integrated into production processes, improving efficiency and safety in various sectors.

The integration of AI into industrial hardware systems offers significant opportunities for innovation and efficiency in production processes, with tangible benefits for several key sectors.