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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 Manot?

Presenting a thorough insight management platform specifically designed to optimize the performance of computer vision models. This innovative solution empowers users to pinpoint the precise causes of model failures, fostering efficient dialogue between product managers and engineers by providing essential insights. With Manot, product managers benefit from a seamless and automated feedback loop that strengthens collaboration with their engineering counterparts. Its user-friendly interface ensures that individuals, regardless of their technical background, can take advantage of its functionalities with ease. Manot places a strong emphasis on meeting the needs of product managers, offering actionable insights through clear visuals that highlight potential declines in model performance. As a result, teams can unite more effectively to tackle issues and enhance overall project outcomes, ultimately leading to a more successful product development process. Furthermore, this platform not only streamlines communication but also systematically identifies trends that can inform future improvements in model design.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Not specified

Company Facts

Organization Name

Physna

Date Founded

2015

Company Location

United States

Company Website

physna.com

Company Facts

Organization Name

Manot

Date Founded

2021

Company Location

United States

Company Website

www.manot.ai/

Categories and Features

3D Modeling

Not specified

Computer Vision

Not specified

Categories and Features

AI Observability

Not specified

AI Vision Models

Not specified

Computer Vision

Not specified

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