
Extremiti3D is Keystone's additive manufacturing partner, providing high-performance 3D printing for industrial, medical, and engineering applications, enabling complex, lightweight parts with faster lead times and greater design flexibility.

Extremiti3D utilizes state-of-the-art additive manufacturing processes to deliver precision parts with exceptional consistency and repeatability. Their capabilities support both rapid prototyping and low- to medium-volume production.
From engineering-grade polymers to specialized materials designed for strength, heat resistance, and durability, Extremiti3D works with a wide range of materials to meet demanding application requirements.
Keystone and Extremiti3D partner closely with customers during the design phase to optimize components specifically for additive manufacturing. This approach improves part performance while minimizing material usage and production costs.
In addition to printing, Extremiti3D provides post-processing services to ensure parts meet functional, aesthetic, and quality requirements—ready for real-world use.





Deep understanding of how additive manufacturing integrates into real-world applications.
Faster prototyping and production compared to traditional manufacturing methods.
Ability to produce complex geometries that reduce weight and part count.
Consistent processes focused on performance, accuracy, and repeatability.
Through Keystone's partnership with Extremiti3D, customers gain access to advanced 3D printing capabilities that complement traditional manufacturing and assembly solutions. This collaboration enables innovative designs, faster development cycles, and customized solutions tailored to specific application needs.
To explore how Extremiti3D’s additive manufacturing expertise can support your next project, contact Keystone to discuss application requirements and potential solutions.
We use cookies to analyze website traffic and optimize your website experience. By accepting use of cookies, your data will be aggregated with other user data.