Haddy, a U.S.-based advanced manufacturing company focused on distributed microfactory production systems, is collaborating with Siemens to advance AI-enabled digital twin manufacturing aimed at enabling localized, circular, and software-defined production models.
The collaboration centers on integrating Siemens Xcelerator and digital twin technologies into Haddy s manufacturing ecosystem, allowing real-time synchronization between product design, automation systems, and production workflows across multiple sites.
According to Siemens, the approach is designed to help manufacturers rethink production by combining AI-enabled digital twins, localized manufacturing, and circular material strategies to improve efficiency and reduce waste while maintaining consistency across distributed facilities.
Haddy is showing how manufacturers can rethink production by combining the power of the AI-enabled digital twin and local manufacturing with circular material strategies, said Tony Hemmelgarn, president and CEO of Siemens Digital Industries Software. By building a digitally connected, software-defined manufacturing model, Haddy is creating a scalable approach that helps maintain consistency across sites while supporting more resilient and sustainable production. This same approach can help other manufacturers adapt faster, reduce waste and bring production closer to where products are needed.
Haddy s manufacturing approach focuses on keeping materials in use and shifting production closer to end-use locations through a network of digitally connected microfactories. The company uses AI and data-driven optimization to improve production efficiency and enable rapid design iteration within a circular manufacturing framework.
Our goal is to keep materials in use and production close to where products are needed, said Jay Rogers, chief executive officer of Haddy. Adopting Siemens Xcelerator helps us connect design, automation and manufacturing in a way that supports circularity, local sourcing and rapid iteration while using data and AI to continuously improve how our microfactories operate.
The collaboration reflects a broader shift toward distributed, software-defined manufacturing models, where digital twins and AI integration are increasingly being used to support scalable, resource-efficient production systems across industries.