Physna is a 3D geometric search algorithm company that recently raised $56 million in Series B funding. With this funding, the company will continue to grow their AI-powered geospatial product suite. The flagship product, Physna’s 3D Geometric Search algorithm, promises to deliver a breakthrough in 3D search capabilities.
In this article, we will discuss how this revolutionary algorithm works and how it can be used to solve real-world problems.
What is 3D Geometric Search?
3D geometric search is an advanced technology developed by the artificial intelligence (AI) startup, Physna. It enables precise visual searches of 3D objects stored in digital models and databases, saving time for product designers, manufacturers, and others who engage in resource-intensive searches.
The technology works by turning a 3D model into a single reference image that can be compared to other 3D models. This approach enables Physna’s algorithms to recognize geometric similarities between separate 3D objects and return queries in seconds rather than hours or days of manual searching. Additionally, this approach uses user-friendly commands to help narrow the scope of searches with greater precision.
In 2021, the fast-growing technology company raised over $56 million in Series B funding led by prominent investor group AIP, including prominent venture funds such as GV (formerly Google Ventures) and New Enterprise Associates (NEA) Chicago Ventures and Biskravcic Capital. This funding will be used to expand their product offering and establish themselves as leaders in AI engineered software solutions, making it easier for customers to incorporate their technologies into their existing software platforms or product designs. With this raise, Physna is on track to become one of 2021’s top contenders for technological advancements in artificial intelligence solutions.
What is Physna?
Physna is a 3D software solutions provider whose mission is to provide the physical world with the same convenience that digital search provides us online. The company offers an AI-powered 3D Geometric Search engine which allows users to quickly find and visualize components, assemblies, shapes and geometries in complex assemblies. Their software has already been adopted by some of the largest manufacturers and suppliers in the world.
Through their AI-enabled platform, Physna is helping manufacturers worldwide optimize their processes researching information that previously required manual inputs and inefficient tools. For example, The Physna engine can let a customer search for a specific item within an engineering assembly using just one or several words. On top of that, it provides the capability of understanding objects regardless of the angle or position since it’s not relying on visual recognition alone.
3D geometric search technology has been revolutionizing multiple industries such as providing logisticians with a way to quickly source parts without going through long processes, media professionals with a way to quickly catalog 3D objects for scenes and simulations, and engineers who need quick access to parts they are designing. These technologies are time savers and allow processing power that exceeds human capabilities when dealing with millions of files from different sources plus easy configuring templates for custom content repositories.
This technology solves important problems for many industries; This became evident when in June 2020 it was announced that Physna had raised $56 million in series B funding from some leading names in venture capital funding times including Google Ventures (GV), Third point Ventures and Vulcan Capital among others. With this investment Physna looks to leverage its proprietary AI engine master into new territories such as advanced robotics automation simulation alongside its current functions of automated digitization, visualization optimization within manufacturing processes like spare part identification.
How Physna’s Algorithm Works
Physna, a 3D geometric search company, recently raised $56 million in Series B funding.
The company’s proprietary algorithm enables them to provide smart 3D search capabilities that are faster, more accurate and more efficient than ever before.
Let’s explore how this 3D geometric search algorithm works and how it transforms how we search for 3D objects.
Automatic 3D Model Recognition
Physna’s algorithm is an artificial intelligence that recognizes complex 3D models. By breaking down a 3D model into its basic components – faces, edges, and vertices – Physna’s deep-learning algorithms can detect patterns and construct models in quasi-real-time. This allows for the generation of datasets quickly and accurately with limited manual input.
In addition to recognizing geometric shapes, Physna’s algorithm can extract overall 3D models from point clouds, meshes or analysis scans. As a result, any data source can be efficiently processed, regardless of noise or compression level. For example, its algorithms can transform a 3D scan of a particular physical asset into a detailed computer-aided design (CAD) drawing for enhanced digital analyses and simulations. It also makes it easier for companies to index high volumes of data quickly without wasting time manually labeling every image in their dataset.
The algorithm begins when an object is first scanned with optical scanners or cameras that generate 3D point clouds data. This raw data is then organized using proprietary processes so it can be tapped into by artificial intelligence platforms like Physna’s Search AI software before constructing a cataloged version of the relevant object(s). Finally, through natural language processing coupled with facial recognition technology, search bots generated by the algorithm can recognize objects based on words used in conversations or queries made via voice requests – resulting in improved accuracy and efficient analysis times as compared to manual methods or standard machine learning techniques deployed by existing companies who focus solely on 2D recognition processes alone.
Physna’s 3D Geometric Search (3GS) technology is a powerful search algorithm that uses feature extraction to identify and compare 3D shapes and engineering CAD models. Feature extraction involves analyzing an object’s size, shape, geometry, or other properties to determine characteristics like volume, surface area, and other geometric parameters. In addition, the feature extraction process also utilizes color-based features like the color of the surface material of an object and the color of any embedded logo or text.
Physna applies this feature extraction process in 3GS search by creating a unique signature for each object’s patterns using its artificial intelligence algorithms. This signature is used to store information about the object for future queries. Once stored in its AI database, Physna’s 3GS algorithm can quickly recreate digital models for comparison with different queries to find objects with similar features. In addition to being fast and accurate, Physna’s search algorithm offers real-time analysis of large datasets with millions of digital models from all industries including automotive, aerospace, medical devices, electronics manufacturing, appliances and more.
The power behind Physna is its ability to accomplish precise matching across widely varying complexity levels; from simple parts such as bolts or screws to intricate automotive engines or aircraft components. Its growing platform currently provides customers access to over 65 million digital objects across ten major manufacturing categories worldwide — which is expected to grow further in 2021 as part of their international expansion plans following U$56 million series B funding round at the end of 2020.
Comparing 3D Models
Physna’s algorithm is a powerful 3D geometric search engine that can compare and store digital representations of real-world objects. Organizations have used it to help them identify counterfeit products, optimize building design and construction processes, develop new vaccines, monitor the environmental impact of their operations, and more.
Physna’s algorithm creates a unique mathematical representation of an object’s 3D geometry in the form of a link matrix graph. A link matrix corresponds to a physical object as each atom connects to other atoms which connect to other atoms in turn, forming an atomic network. Physna’s technology then creates an optimized version of this mathematical model, enabling users to compare different objects at once with unprecedented accuracy.
The 3D geometric search algorithm compares two or more models relatively information-richly by evaluating the surface area commonality between them. This means measuring the smallest differences between two or more 3D objects including their stresses, gaps and other highly accurate details often seen on authentic products but not necessarily counterfeits. Physna can also create precise callouts that list every shared characteristic within each model along with additional data such as risk scores for exact comparison purposes. This allows its users to detect subtle abnormalities between various models quickly and accurately helping them quickly identify anything from fake products to incorrect construction design plans within minutes of using Physna’s algorithm for comparison.
Benefits of Physna’s Algorithm
Physna’s 3D geometric search algorithm has allowed many companies to gain efficiency in the digital space and given them a competitive edge in the marketplace.
This algorithm is based on fast, accurate, and secure search capabilities that provide valuable insights for any organization. In this article, we’ll go over why Physna’s algorithm is so beneficial, and how it can provide companies with a competitive edge.
Improved Search Accuracy
The accuracy of search results is something that online users take for granted. Yet most commercial intersection detection algorithms and solutions involve extensive calculations that can be quite time consuming, expensive and resource intensive.
Physna’s 3D Geometric Search algorithm uses a proprietary technology to quickly process data in a fraction of the time of traditional solutions. This allows searches to generate more accurate results, saving companies time and money.
This technology helps businesses make better decisions with access to more accurate search data. In addition, Physna has a proven track record proving their ability to quickly serve up correct results fast. This design also bypasses the traditionally laborious implementation associated with multiple deterministic searches usually associated with complex 3D geometries by providing accurate solutions in a fraction of the time required previously.
Moreover, businesses receive real-time, consistent answers from Physna’s effortless solution without requiring complicated formulae or tampering with pre-defined parameters and configurations such as acceptance thresholds or grid size constraints. In addition, Physna offers predictive analytics capable of offering insights into the probability an intersection exists before the answer is provided – allowing customers obtain metadata from their data from which potential solutions might emerge without manually running many tests – further improving efficiency and accuracy of results both in terms of speed and cost savings for businesses using its platform.
Reduced Search Time
The Physna algorithm is a powerful 3D geometric search tool that drastically reduces the time required to accomplish tasks that rely on high accuracy and repeatability. This algorithm works by automatically analyzing incoming 3D models and creating a unique searchable fingerprint from the object’s unique geometry. This searchable fingerprint helps reduce the time required for a full analysis or identification task. Instead of manually evaluating every detail point-by-point, the entire model can be rapidly searched using the automated individualized algorithm.
In addition to its impressive benefits in reducing search time, Physna also supports full feature recognition through rich 3D keyword tagging, making it easier to find specific objects within vast datasets quickly and accurately. In addition, the Physna algorithm offers flexible data integration across CAD, visualization and machine learning applications; enabling users to more easily access and use their data. Finally, with state-of-the-art visualization functions such as interactive inspection tools and real-time streaming capabilities, users can view complex objects more clearly than ever. All these features combined give users a powerful tool for identifying pieces or whole objects faster than any other existing technology.
Increased User Experience
Physna’s 3D geometric search algorithm introduces a new way of searching in 3D models. By utilizing sensor and camera systems, Physna’s algorithm can detect more data accurately, quickly, and cost-effectively than ever before. As a result, users are provided with faster search results and increased user experiences.
Physna’s algorithm enables detection of all types of geometry in 3D models, including deformable geometry such as plastic or cloth objects. This allows for creating more realistic 3D models for simulations and for improving user experience with the ability to detect complex phenomena such as elastic deformation or fluid dynamics. Physna’s algorithm also provides various other benefits such as increased accuracy, increased speed of analysis, reduced costs associated with searching large datasets in 3D modeling applications, and enhanced security on 3D data searches. The company has also launched an open API allowing developers to integrate the energy-efficient platform into existing applications and develop new ones that search based on similar geographic criteria.
Ultimately, Physna’s algorithm provides improved user experiences through its advanced 3D model detection capabilities by providing faster searches that reduce time-to-market while improving accuracy at a much lower cost than ever before. With increased funding from its most recent Series B funding round led by Wing Venture Capital and Sway Ventures, Physna is set to continue expanding its platform capabilities even further shortly.
3D Geometric Search Company Physna Raises $56 Million In Series B Funding
Physna, a 3D Geometric Search Company, recently announced that it had closed its Series B funding round, raising $56 million. This funding comes as the company continues expanding its ability to offer one of the most powerful and sophisticated 3D search algorithms available today.
In this article, we will explore how Physna’s 3D Geometric Search Algorithm works, and how it is revolutionizing how users can search, visualize, create, and interact with 3D objects.
Overview of Series B Funding
Series B funding is an important stage for any growing startup. It signals that the company has validated its product, started to earn customer traction and is beginning to generate meaningful and sustainable growth. Recent Series B funding success stories include Uber, Airbnb and Slack — all have become leaders in their respective industries.
So what does it mean that 3D geometric search company Physna has just completed a $56 million raise in its Series B round? The short answer is that Physna’s revolutionary algorithm-based search and analysis technology is gaining major industry interest. However, to understand what makes this type of particular technology revolutionary, we need to take a step back and look at how 3D geometric search algorithms are changing businesses’ operations.
3D geometric search algorithms allow users with no prior expertise in engineering or design to quickly identify existing parts or design their parts with unprecedented accuracy and speed within minutes. This technology has profound implications for the production teams within many industries like automotive, aerospace, consumer products and medical devices who fearlessly rely on accurate data to design new products— without the tedious task of deciphering complex CAD models by hand.
The rise of Physna comes as no surprise given the increasing sophistication of digital models and manufacturing processes within various industries today, which places immense value on this type of sophisticated searching algorithm technology. Such demand explains why investors are now flooding resources into Physna’s coffers — from megabanks like Goldman Sachs to venture capitalists like Grotech Ventures—validating the 3D geometric search industry and solidifying the place for Physna at its helm.
Reasons Behind the Funding
Physna, the 3D geometric search company, recently raised $56 million in Series B funding, with total funds now reaching nearly $80 Million. The investment was led by Aerospace and Security VC firm EDBI and included other investors such as Foundry Group, Euclidean Capital, Audi Ventures and Mereko Ventures.
The funding will enable Physna to accelerate its comprehensive product roadmap for solving complex interoperability challenges by continuing to build upon the success of its already powerful 3D search platform. With this technology, developers and businesses can quickly build 3D search applications with faster query speeds than a traditional search engine or database.
Most of the funding will go towards further developing Physna’s cloud-based software offering that leverages deep learning and graph algorithms as part of its advanced artificial intelligence technology stack. Additionally, some of the money will be allocated for scaling up operations for existing customers and pursuing new customers across a wide range of industries including automotive, aerospace & defense, healthcare & medical device manufacturing, engineering & manufacturing design and entertainment media & gaming industries.
By investing in machine learning technology to help improve their product offerings with faster data processing capabilities along with opening up new business opportunities in different markets they hope to continue on their path towards becoming a powerhouse within the 3D geometric search innovation space.
The 3D Geometric Search algorithm created by Physna is a revolutionary tool that can quickly and accurately search through thousands of physically identical objects and provide real-time results. This technology can potentially revolutionize how companies find 3D parts or objects, saving them time and money while streamlining their operations.
Physna has raised $56 million in Series B funding, demonstrating its value in the industry. This new technology will make it easier for companies to find 3D objects faster, allowing them to operate more efficiently at reduced costs.