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What is Physna?

Our state-of-the-art geometric deep learning solution forges a direct link between physical objects and digital coding. We are transforming the fields of engineering, industrial design, and procurement by empowering innovators and creators through the reimagining of every 3D model. Utilizing proprietary algorithms in conjunction with advanced geometric deep learning, Physna converts 3D models into rich data sets that can be understood by a multitude of software applications. This groundbreaking technology enables 3D models to be examined and manipulated like conventional code, effectively bridging the gap between the tangible world and the software-driven digital landscape. The platform analyzes CAD files and various 3D models, generating a structured representation termed the "Physna DNA" for each model. This digital format allows Physna to showcase subtle differences and resemblances across models, even those that may be incomplete or in differing formats. Moreover, it grants insight into all elements within complex assemblies, including components nested within others, thereby enhancing comprehension of intricate designs. In addition, this revolutionary approach not only fosters innovation but also leads to improved collaboration and productivity across diverse sectors, encouraging a more integrated future.

What is Magma?

Magma is a state-of-the-art multimodal AI foundation model that represents a major advancement in AI research, allowing for seamless interaction with both digital and physical environments. This Vision-Language-Action (VLA) model excels at understanding visual and textual inputs and can generate actions, such as clicking buttons or manipulating real-world objects. By training on diverse datasets, Magma can generalize to new tasks and environments, unlike traditional models tailored to specific use cases. Researchers have demonstrated that Magma outperforms previous models in tasks like UI navigation and robotic manipulation, while also competing favorably with popular vision-language models trained on much larger datasets. As an adaptable and flexible AI agent, Magma paves the way for more capable, general-purpose assistants that can operate in dynamic real-world scenarios.

Media

Media

Integrations Supported

Integrations Supported

Microsoft Azure
Microsoft Foundry

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Physna

Date Founded

2015

Company Location

United States

Company Website

physna.com

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

ai.azure.com/labs/projects/magma

Categories and Features

3D Modeling

Not specified

Computer Vision

Not specified

Categories and Features

AI Models

Not specified

AI Vision Models

Not specified

Foundation Models

Not specified

Multimodal Models

Not specified

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