Physna3D data management system with an innovative geometric AI search function

Fast and accurate shape search and user-friendly analysis functions based on our unique AI algorithm extracts value out of 3D data and significantly streamlines operations

Common challenges

  • Data searches take time

    Individuals own development data and data searches take time and effort

  • Data organization and management take time and money

    There is an immense amount of data and introducing a system becomes a cross-departmental undertaking that crowds out development tasks

  • Past data is not being reused or standardized

    Data is not being used effectively; similar products are being manufactured and duplicate materials are being procured in design, procurement, purchasing, and manufacturing

What is Physna?

Physna is a new 3D data management solution that enables multi-dimensional search with 3D shapes as the key.

Physna, which leverages a unique algorithm and sophisticated deep learning technology, codifies all kinds of 3D data and uses 3D data to process and analyze the internal structures of parts and assemblies to accurately search and analyze the 3D model in question. It also allows for easy 3D data searches by non-CAD users with just the name of the part through tagged metadata and AI training on 3D data. The 3D data structures built in the cloud can be used regardless of the CAD system such as PLM or PDM which allows for easy access to past manufacturing data that may be lying dormant.
This promotes the use of 3D data in a wide range of work from design, production, purchasing, and procurement, to maintenance and could lead to dramatic increases in efficiency.

  • SpectA RFQ Guide View

    Powerful 3D search

    • Fast and accurate 3D model search
    • Searching shapes within complex compound parts
    • Optimization of management using metadata
  • SpectA RFQ Guide View

    Can be adopted flexibly

    • Operability that allows for use by non-CAD users
    • No need for data conversion at adoption
    • Does not require large-scale system development
  • SpectA RFQ Guide View

    Highly accessible

    • Can handle all 3D data formats
    • Can link with PLM and other systems
    • Accessible from mobile devices

SOLIZE compiles useful data that is lying dormant within the company to promote the efficient use of 3D data.

Physna’s characteristics

パワフルな3D検索・形状比較

Powerful 3D search and shape comparison

Instantaneously search and compare similar 3D data from a massive database using the 3D data shape as the key

  • 製造業向け特化型のAIソリューション

    Data analysis capability that continues to grow

    A unique AI learns from trends and increases data search accuracy

  • 短期間で確実な成果を実現

    Search for parts within an assembly

    Search for layouts of each component part, substitutes, and similar data

  • 人の判断の質と量を最大化

    Search using scanned data

    Shape searches are possible even if the scanned data is missing shapes

  • 持続的な知恵の進化

    Supports any file format

    Can analyze and search using almost all available 3D file formats

  • 人の判断の質と量を最大化

    Can be used in all kinds of scenarios

    Data can be promptly uploaded without a server

  • 持続的な知恵の進化

    Advanced security capabilities

    All data is encrypted and managed

Use cases

Purchasing and procurement personnel can optimize parts management costs
User
Purchasing and procurement personnel, parts manager
Challenge
Identical parts are not being distinguished and are repeatedly purchased and procured while continuing to be managed under different part numbers and names.
Expected improvement
・Eliminate duplicate purchasing and procurement processes, and advance negotiations with the best supplier
・Reduce management costs by managing the stock of the same part in smaller quantities to reduce storage space

Before the adoption of Physna

同一部品を異なるサプライヤーから調達

The same part is procured from different suppliers

After the adoption of Physna

サプライヤー選定を最適化

Supplier selection is optimized

Search for design data that can be repurposed from input 3D data
User
Designer (initial concept development to detailed design)
Challenge
Searching for data similar to the input data requires contacting a designer who was involved in that project
Expected improvement
Files from similar projects can be identified and repurposed just from the shape of the input data without having to contact the designer at the time (experienced personnel)

Before the adoption of Physna

ベテラン設計者に確認しなければ有益な過去データが見つからない

Useful data cannot be found without contacting an experienced designer

After the adoption of Physna

経験の浅い設計者でも類似データを検索エンジニア業務に集中できる

Inexperienced designers can search for similar data
Designers can focus engineering work

Identify the appropriate maintenance part on site in a timely manner
User
Manufacturing line support division
Challenge
Identifying parts during equipment maintenance on site takes time and impedes timely response
Expected improvement
Scan parts and search based on their shaped to swiftly identify and procure maintenance parts, reducing downtime

Before the adoption of Physna

現場で部品情報を照会できず、対応に時間がかかる

Part information cannot be queried at the site, and response takes time

After the adoption of Phynsa

部品をスキャンし写真・名称から保守部品を検索、速やかに復旧

Parts are scanned and the maintenance part is searched from the photo or name, allowing for swift recovery

Have consumer sales representatives recommend the appropriate product
User
Sales representative that handles many types of products such as building materials, metal molds, machined parts
Challenge
When customers visit the stores, they see many products that are similar to what they want. Identifying the exact item that they are looking for requires in-depth discussion and time
Expected improvement
Can propose candidate products based on product scan information (e.g., photos, dimensions) from customers

Before the adoption of Physna

欲しい商品を見つけられないお客さまを逃している

Missed out on turning people who couldn’t find the products they wanted into customers

After the adoption of Physna

商品スキャン情報(写真・寸法など)からスムーズに商品を提案

Able to suggest products based on product scan information (e.g., photos and dimensions)

Introduction video

  • Physna technology overview

    Assist engineering teams and product design teams

  • Why Physna can search for parts

    The world available with Physna’s powerful geometric search

  • What is Physna’s PNA (Physical DNA)?

    Unique algorithm and sophisticated 3D deep learning technology

About Physna, Inc.

An industry leader in geometric deep learning technology, Physna, Inc.’s software bridges the gap between the physical world and digital code by codifying the 3D world based on a deep understanding of the physical traits of objects in the real world and its relationships. Physna, Inc. is building the future of 3D software. By providing powerful search functions to the hands of innovators and creators, it has already improved engineering, industrial design and procurement. Its name is derived from “Physical DNA” which represents geometric traits which is the core of its technology.
In July 2021, it raised $56 million in a funding round led by Tiger Global with the participation of GV (formerly Google Ventures) and Sequoia Capital, bringing the company’s total funding to $86 million.

  • (Note) Physna can handle most major 3D data formats including CATIA, NX, Creo, Solid Works, AutoCAD, Inventor, STEP, IGES, STL, and Parasolid. Please contact us for more details.