Leveraging the power of 3D data is what Physna is all about. Using proprietary algorithms and advanced geometric deep learning technology, Physna codifies 3D models into detailed data that is understandable by software applications. Our software bridges the gap between physical objects and digital code, driving lower costs and increased productivity in manufacturing while powering innovation in emerging technologies such as 3D printing, augmented reality and virtual reality.

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Physna

Paul Powers

Dan Pham

Wyatt Sliman Boumédine

Garrett C.

Ryan Arnaudin

Timur Hindanov

Dennis Demeyere

The Engineering Team at Physna is responsible for developing and refining the proprietary algorithms and software applications that transform 3D models into actionable data. This team collaborates across disciplines to enhance geometric deep learning technologies, ensuring our solutions are robust, user-friendly, and scalable. By focusing on innovation and quality, they play a critical role in driving advancements in manufacturing processes and emerging technologies like 3D printing and augmented reality.

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