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Trading / Browse Private Companies / Physna Stock

Physna Stock

physna.comEnterprise Software / Data IntelligenceFounded: 2019Funding to Date: $84.16MM

Physna is a developer of geometric deep-learning technology, offering software designed to bridge the gap between the physical world and digital code by codifying the 3D world through a deeper understanding of the physical properties of real-world objects and the relationships between them.

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Frequently Asked Questions About Physna’s Stock

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Physna is not publicly traded on NYSE or NASDAQ in the U.S. To buy Physna’s stock you need to be an accredited investor. Learn more about how to invest in the private market or register today to get started.
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Yes, you can sell stock of a private company like Physna. Forge can help you sell your Physna stock in a way that works for you and the company. So if you are seeking liquidity, register with us today to get started.
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What is Physna’s stock price?
Physna is a privately held company and therefore does not have a public stock price. However, you may access Physna’s private market stock price with Forge Data.
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What is Physna’s stock ticker symbol?
Physna does not have an official ticker symbol because this company is not currently publicly traded.
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Can institutional investors buy and sell private market stocks?
Yes. As one of the largest trading platform for the private market, Forge helps institutional investors seek liquidity as they buy and sell private stock for their portfolios or their clients. Our private market specialists have decades of experience working with institutional firms. Learn more or register today to get started.

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News Highlights

3D Printing Industry 06/06/2023
THANGS FOUNDER AND PHYSNA CEO PAUL POWERS ON 3D DESIGN, AI, AND 3D GEOMETRY DEEP LEARNING TECHNOLOGY
Physna CEO Paul Powers discussed the company's geometric deep-learning technology and new offerings on their 3D search engine, Thangs. The platform enables designers to earn from their work and offers IP protection. The search engine's technology is capable of identifying common components between different 3D models and suggesting alternative parts for a build, with potential applications in supply chain optimisation.

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Updated on: Apr 19, 2024

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