Alternatives to PhysicsX

DigitalClone®, for Engineering is the only software that integrates multiple scales of analysis into a single package. It is the world's best gearbox reliability prediction tool. DC-E, in addition to the modeling and analysis capabilities at the level of the gearbox and the gear/bearing, is the only software that models fatigue life using detailed, physics-based models (US Patent 10474772B2). DC-E allows the construction of a digital twin of a gearbox. This includes all stages of the asset's lifecycle, from design and manufacturing optimization to supplier selection to failure root cause analysis to condition based maintenance and prognostics. This computational environment reduces the time and cost of bringing new designs to market and maintaining them over time.

Ansys Motor-CAD serves as a specialized tool for the design of electric machines, facilitating rapid multiphysics simulations throughout the entire torque-speed operating range. It allows design engineers to assess various motor configurations and concepts to create designs that maximize performance, efficiency, and compactness. With its four integrated modules—EMag, Therm, Lab, and Mech—Motor-CAD enables quick and iterative multiphysics calculations, significantly reducing the time from initial concept to finalized design. This efficiency in calculations and streamlined data input processes provides users with the opportunity to investigate a broader array of motor topologies and thoroughly evaluate the effects of advanced loss mechanisms in the early phases of electromechanical design. The latest release boasts enhanced capabilities for design optimization, multiphysics analysis, and system modeling tailored specifically for electric motors, ensuring that engineers have the tools they need for cutting-edge development. Ultimately, Motor-CAD's fast multiphysics simulation capabilities across the full torque-speed range empower engineers to innovate and refine electric motor designs with unprecedented efficiency.

Ansys Discovery introduces an innovative simulation-driven design tool that integrates instant physics simulation, high-fidelity simulation, and interactive geometry modeling into a singular, user-friendly platform. This groundbreaking product merges interactive modeling with various simulation features, empowering users to tackle essential design inquiries at the early stages of the design process. By adopting this proactive approach to simulation, teams can significantly reduce time and resources spent on prototyping as they concurrently examine numerous design ideas without delays for simulation feedback. Ansys Discovery effectively addresses vital design questions swiftly and accurately, enhancing overall productivity and performance by removing prolonged waits for simulation outputs. This capability allows engineers to prioritize innovation and optimize product performance, ultimately leading to a reduction in labor costs and physical prototyping expenses. Additionally, by facilitating the early resolution of design challenges, Ansys Discovery contributes to a notable increase in return on investment (ROI) throughout your organization, making it an invaluable asset for engineering teams.

Utilize COMSOL's multiphysics software to replicate real-world designs, devices, and processes effectively. This versatile simulation tool is grounded in sophisticated numerical techniques. It boasts comprehensive capabilities for both fully coupled multiphysics and single-physics modeling. Users can navigate a complete modeling workflow, starting from geometry creation all the way to postprocessing. The software provides intuitive tools for the development and deployment of simulation applications. COMSOL Multiphysics® ensures a consistent user interface and experience across various engineering applications and physical phenomena. Additionally, specialized functionality is available through add-on modules that cater to fields such as electromagnetics, structural mechanics, acoustics, fluid dynamics, thermal transfer, and chemical engineering. Users can select from a range of LiveLink™ products to seamlessly connect with CAD systems and other third-party software. Furthermore, applications can be deployed using COMSOL Compiler™ and COMSOL Server™, enabling the creation of physics-driven models and simulation applications within this robust software ecosystem. With such extensive capabilities, it empowers engineers to innovate and enhance their projects effectively.

SKY ENGINE AI provides a unified Synthetic Data Cloud designed to power next-generation Vision AI training with photorealistic 3D generative scenes. Its engine simulates multispectral environments—including visible light, thermal, NIR, and UWB—while producing detailed semantic masks, bounding boxes, depth maps, and metadata. The platform features domain processors, GAN-based adaptation, and domain-gap inspection tools to ensure synthetic datasets closely match real-world distributions. Data scientists work efficiently through an integrated coding environment with deep PyTorch/TensorFlow integration and seamless MLOps compatibility. For large-scale production, SKY ENGINE AI offers distributed rendering clusters, cloud instance orchestration, automated randomization, and reusable 3D scene blueprints for automotive, robotics, security, agriculture, and manufacturing. Users can run continuous data iteration cycles to cover edge cases, detect model blind spots, and refine training sets in minutes instead of months. With support for CGI standards, physics-based shaders, and multimodal sensor simulation, the platform enables highly customizable Vision AI pipelines. This end-to-end approach reduces operational costs, accelerates development, and delivers consistently high-performance models.

NVIDIA Cosmos serves as a cutting-edge platform tailored for developers, featuring advanced generative World Foundation Models (WFMs), sophisticated video tokenizers, safety protocols, and a streamlined data processing and curation system aimed at enhancing the development of physical AI. This platform empowers developers who are focused on areas such as autonomous vehicles, robotics, and video analytics AI agents to create highly realistic, physics-informed synthetic video data, leveraging an extensive dataset that encompasses 20 million hours of both actual and simulated footage, facilitating the rapid simulation of future scenarios, the training of world models, and the customization of specific behaviors. The platform comprises three primary types of WFMs: Cosmos Predict, which can produce up to 30 seconds of continuous video from various input modalities; Cosmos Transfer, which modifies simulations to work across different environments and lighting conditions for improved domain augmentation; and Cosmos Reason, a vision-language model that implements structured reasoning to analyze spatial-temporal information for effective planning and decision-making. With these capabilities, NVIDIA Cosmos significantly accelerates the innovation cycle in physical AI applications, fostering breakthroughs across various industries.

SpAItial is an innovative AI platform dedicated to the creation and implementation of Spatial Foundation Models (SFMs), a groundbreaking category of generative AI systems that excel in generating and interpreting 3D environments while maintaining physical realism and spatial intelligence. Unlike conventional models that independently generate images or text, SpAItial's advanced technology works directly with 3D structures from the beginning, effectively capturing aspects such as geometry, materials, lighting, and physics to create immersive and interactive worlds. Its premier model, Echo-2, possesses the remarkable ability to convert a single image into a fully navigable, photorealistic 3D scene using cutting-edge techniques like Gaussian splatting, which allows users to explore and render environments in real time. This platform is designed with a robust, physically grounded comprehension of space-time, enabling the AI to analyze how objects are situated, interact, and develop within a given environment, eschewing the disjointed outputs typical of traditional generative AI. This innovative methodology not only mitigates the inconsistencies often found in standard generative AI systems but also facilitates a more precise and realistic simulation of environments, paving the way for exciting new applications in virtual reality and beyond.

Ansys Lumerical Multiphysics serves as advanced software for simulating photonic components, allowing for the integrated design of these elements by effectively capturing the interplay of various multiphysics phenomena such as optical, thermal, electrical, and quantum well interactions, all within a cohesive design platform. Designed specifically for engineering workflows, this user-friendly product design software enhances the user experience, enabling quick design iterations and delivering in-depth insights into actual product performance. By merging real-time physics with precise high-fidelity simulations in an accessible interface, it promotes a shorter time-to-market for innovative designs. Among its key offerings are a finite element design environment, integrated multiphysics workflows, extensive material models, and robust automation and optimization capabilities. The suite of solvers and streamlined processes in Lumerical Multiphysics effectively reflects the complex interactions of physical effects, facilitating accurate modeling of both passive and active photonic components. This comprehensive approach not only enhances design efficiency but also leads to improved product reliability and performance evaluations.

NVIDIA Isaac Sim is a free and open-source robotics simulation tool that operates on the NVIDIA Omniverse platform, allowing developers to create, simulate, evaluate, and train AI-powered robots within highly realistic virtual settings. Utilizing Universal Scene Description (OpenUSD), it provides extensive customization options, enabling users to build tailored simulators or to incorporate the functionalities of Isaac Sim into their existing validation frameworks effortlessly. The platform facilitates three core processes: the generation of large-scale synthetic datasets for training foundational models with lifelike rendering and automatic ground truth labeling; software-in-the-loop testing that links real robot software to simulated hardware for validating control and perception systems; and robot learning facilitated by NVIDIA’s Isaac Lab, which hastens the training of robot behaviors in a simulated environment before they are deployed in the real world. Additionally, Isaac Sim features GPU-accelerated physics through NVIDIA PhysX and offers RTX-enabled sensor simulations, empowering developers to refine their robotic systems. This comprehensive toolset not only enhances the efficiency of robot development but also contributes significantly to advancing robotic AI capabilities.

Software for digital manufacturing Engineering software. The way we make parts has changed. Your engineering software must change. Unifying technology for design, simulation, manufacturing data. The nTop Platform approach eliminates geometry bottlenecks in design. It achieves more efficient workflows, significantly improving team collaboration with quicker iteration, and enabling smarter, complex designs to meet performance requirements. Using nTop Platform's innovative computational modeling techniques, design teams are able to process and evaluate more design ideas than ever before. You can find the best solution in a shorter time. nTopology knows that engineering knowledge is the most valuable asset of any organization. nTop Platform makes this know-how easily shareable, and most importantly, secure for your entire organization.

The Cadence AWR Design Environment Platform streamlines the development cycles of RF/microwave products through design automation, which boosts engineering efficiency and shortens turnaround times. This all-in-one platform equips engineers with sophisticated high-frequency circuit and system simulations alongside in-design electromagnetic (EM) and thermal analyses, enabling the creation of manufacturing-ready high-frequency intellectual property with exceptional accuracy and effectiveness. With a focus on enhancing productivity, the interface is both robust and user-friendly, featuring smart and customizable design workflows tailored to meet the demands of modern high-frequency semiconductor and PCB technologies. Moreover, its integrated design capture system supports a seamless front-to-back physical design process. The dynamic linking between electrical and layout design entries ensures that any components added to an electrical schematic automatically result in a corresponding synchronized physical layout, fostering a more cohesive design experience. This innovative approach not only minimizes errors but also significantly accelerates the overall design process.

CoppeliaSim, created by Coppelia Robotics, stands out as a dynamic and robust platform for robot simulation, effectively serving various purposes such as rapid algorithm development, factory automation modeling, quick prototyping, verification processes, educational applications in robotics, remote monitoring capabilities, safety checks, and the creation of digital twins. Its architecture supports distributed control, allowing for individual management of objects and models through embedded scripts in Python or Lua, plugins written in C/C++, and remote API clients that support multiple programming languages including Java, MATLAB, Octave, C, C++, and Rust, as well as tailored solutions. The simulator is compatible with five different physics engines—MuJoCo, Bullet Physics, ODE, Newton, and Vortex Dynamics—enabling swift and customizable dynamics calculations that facilitate highly realistic simulations of physical phenomena and interactions, such as collision responses, grasping mechanisms, and the behavior of soft bodies, strings, ropes, and fabrics. Additionally, CoppeliaSim offers both forward and inverse kinematics computations for a diverse range of mechanical systems, enhancing its utility in various robotics applications. This flexibility and capability make CoppeliaSim an essential tool for researchers and professionals in the field of robotics.

AMD Radeon™ ProRender serves as a robust physically-based rendering engine that allows creative professionals to generate breathtakingly photorealistic visuals. Leveraging AMD’s advanced Radeon™ Rays technology, this comprehensive and scalable ray tracing engine utilizes open industry standards to optimize both GPU and CPU performance, ensuring rapid and impressive outcomes. It boasts an extensive, native physically-based material and camera system, empowering designers to make informed choices while implementing global illumination. The unique combination of cross-platform compatibility, rendering prowess, and efficiency significantly shortens the time needed to produce lifelike images. Additionally, it utilizes the power of machine learning to achieve high-quality final and interactive renders much more quickly than traditional denoising methods. Currently, free plug-ins for Radeon™ ProRender are available for a variety of popular 3D content creation software, enabling users to craft remarkable, physically accurate renderings with ease. This accessibility broadens the creative possibilities for artists and designers across various industries.

Utilizing the distinctive and inherently dynamic Lattice Boltzmann-based physics, the PowerFLOW CFD solution conducts simulations that effectively replicate real-world scenarios. With the PowerFLOW suite, engineers can assess product performance at the early stages of design, before any prototypes are constructed—this is when alterations can have the most substantial effects on both design and budget. The PowerFLOW system seamlessly imports intricate model geometries and conducts aerodynamic, aeroacoustic, and thermal management simulations with high accuracy and efficiency. By automating domain discretization and turbulence modeling along with wall treatment, it removes the need for manual volume meshing and boundary layer meshing. Users can confidently execute PowerFLOW simulations using a large number of compute cores on widely utilized High Performance Computing (HPC) platforms, enhancing productivity and reliability in the simulation process. This capability not only accelerates product development timelines but also ensures that potential issues are identified and addressed early in the design phase.

HyperWorks offers easy-to-learn and effective workflows that leverage domain expertise and increase team productivity. This allows for efficient development of today's complex and connected products. Engineers can now move seamlessly from one domain to another with the new HyperWorks experience. They can even create reports without ever leaving the model. HyperWorks allows you to create, explore, and optimize designs. These designs can accurately model structures, mechanisms and fluids as well as electrical, embedded software, systems designs, and manufacturing processes. The solution-specific workflows improve a variety of engineering processes, including fatigue analysis, CFD modeling, concept design optimization, design exploration, and CFD modeling. Each interface is intuitive and well-designed, and differentiated for each user. It's also consistent and easy to use.

Axiomatic AI represents a cutting-edge artificial intelligence platform that aims to enhance the efficiency of scientific research and engineering processes by merging generative AI with rigorous mathematical validation and physics-oriented reasoning. Central to this platform is the principle of Axiomatic Intelligence, which harmonizes advanced AI models with formal logic and specialized world models to guarantee that the generated outputs are both mathematically sound and physically coherent. In contrast to traditional AI systems that may yield plausible yet unverified responses, Axiomatic AI incorporates robust verification mechanisms to ensure that results are measured against established formal specifications and engineering criteria prior to being presented to users. This innovative methodology enables the platform to effectively assist in high-stakes applications across various fields, including but not limited to photonics, electronics, thermal engineering, mechanics, and signal analysis. As a result, Axiomatic AI stands out as a valuable tool for professionals seeking reliable solutions in complex scientific domains.

Subjecting your designs to real-world scenarios can significantly enhance product quality while simultaneously minimizing the costs associated with prototyping and physical testing. The SOLIDWORKS® Simulation suite offers a user-friendly collection of structural analysis tools that employ Finite Element Analysis (FEA) to forecast how a product will behave in actual physical conditions by virtually evaluating CAD models. This comprehensive portfolio is equipped with capabilities for both linear and non-linear static and dynamic analyses. With SOLIDWORKS Simulation Professional, you can refine your designs by assessing mechanical resistance, durability, topology, natural frequencies, as well as examining heat transfer and potential buckling issues. Additionally, it facilitates sequential multi-physics simulations to enhance design accuracy. On the other hand, SOLIDWORKS Simulation Premium allows for an in-depth assessment of designs concerning nonlinear and dynamic responses, dynamic loading conditions, and composite materials. This advanced tier also features three specialized studies: Non-Linear Static, Non-Linear Dynamic, and Linear Dynamics, ensuring a thorough evaluation of your engineering projects. By leveraging these powerful tools, engineers can achieve greater design confidence and innovation.

VPS-MICRO estimates the lifespan of manufactured components by modeling the characteristics of their constituent materials. This innovative software is founded on three fundamental principles. First, durability is influenced not just by the stress applied but also by how the material responds to that stress. Second, the materials used in creating intricate components and systems often exhibit non-uniform properties. Lastly, computational resources are more cost-effective and quicker compared to traditional physical testing or prototyping methods. Building upon these concepts, VEXTEC’s VPS-MICRO® serves as a sophisticated computational tool that effectively considers a material’s response to imposed stress, its inherent variability, various damage mechanisms, geometric factors, and the operational conditions over time. Consequently, it produces a three-dimensional, time-sensitive simulation that reliably mirrors the real-world physics behind the onset, progression, and reasons for material damage, offering valuable insights for engineers and designers alike. This capability not only enhances understanding but also aids in improving the design and reliability of future products.

Gemini Robotics-ER 1.6 represents a suite of AI models created by Google DeepMind, designed to infuse sophisticated multimodal intelligence into the tangible world by empowering robots to sense, analyze, and act within real-world settings. Based on the Gemini 2.0 architecture, it enhances conventional AI abilities by incorporating physical actions as a form of output, thus enabling robots to not only understand visual data but also to follow natural language commands, translating these inputs directly into motor functions for task execution. This system features a vision-language-action model that interprets both images and directives to carry out tasks effectively, alongside an additional embodied reasoning model (Gemini Robotics-ER) that focuses on spatial awareness, strategic planning, and decision-making in physical contexts. Through these capabilities, the models allow robots to adapt to unfamiliar scenarios, objects, and environments, thereby enabling them to tackle intricate, multi-step tasks even when they have not undergone specific training for such challenges. Ultimately, this innovation represents a significant leap towards creating robots that can seamlessly integrate and operate within the complexities of everyday life.

MORAI presents an innovative digital twin simulation platform designed to expedite the development and evaluation of autonomous vehicles, urban air mobility solutions, and maritime autonomous surface vessels. This platform utilizes high-definition mapping and an advanced physics engine to seamlessly connect real-world applications with simulated testing environments, ensuring all critical components for validating autonomous systems are included, such as those for self-driving cars, drones, and unmanned marine vehicles. It features a comprehensive array of sensor models, which encompass cameras, LiDAR, GPS, radar, and Inertial Measurement Units (IMUs). Users have the capability to create intricate and varied testing scenarios derived from actual data, including those based on logs and edge cases. Furthermore, MORAI's cloud-based simulation framework enables safe, efficient, and scalable testing processes, allowing multiple simulations to operate simultaneously while assessing various scenarios in parallel. This robust infrastructure not only enhances the reliability of testing but also significantly reduces the time and costs associated with the development of autonomous technologies.

Luminary Cloud represents the cutting-edge of computer-aided engineering as the first SaaS platform designed to deliver rapid insights to engineers, enabling them to conduct simulations, analyses, and iterations that were previously unattainable. Experience the remarkable ability to perform simulations in mere minutes using some of the most powerful GPUs available in the cloud. Your raw simulation data can be securely stored, accessed, and analyzed, leading to valuable insights that enhance engineering design optimization. By expediting experiments, you can improve product design quality while minimizing defects. This platform significantly accelerates time to market by enhancing engineering efficiency and reducing costs associated with hardware, prototyping, and physical testing. Empower your team to achieve their most innovative designs through quicker insights and outcomes, all facilitated by the most user-friendly simulation platform. With the capability to run rapid simulations at any scale, collaborate globally through project sharing, and begin analyzing results without delay, your engineering process will be transformed for the better. The future of engineering design is here, making it easier than ever to bring innovative products to life.

MapleSim serves as a sophisticated modeling solution that spans from the use of digital twins for virtual commissioning to creating system-level models for intricate engineering design endeavors, enabling significant reductions in development time and costs while effectively addressing real-world performance challenges. By enhancing control code rather than relying on hardware modifications, you can eliminate vibrations and pinpoint the underlying causes of performance issues through in-depth simulation insights. This powerful tool allows for the validation of design performance prior to moving on to physical prototypes. Leveraging cutting-edge methods, MapleSim not only drastically shortens model development time but also enhances understanding of system behavior and facilitates rapid, high-fidelity simulations. As your simulation requirements evolve, you can easily scale and connect your models. With its adaptable modeling language, you can extend your designs further by integrating components across various domains within a virtual prototype, tackling even the most difficult machine performance challenges with confidence. Overall, MapleSim empowers engineers to innovate with efficiency and precision, ensuring that their designs meet the rigorous demands of modern engineering projects.

AQBioSim is an innovative cloud-based platform created by SandboxAQ that utilizes Large Quantitative Models (LQMs) based on principles of physics and chemistry to transform the processes of material discovery and optimization. By combining techniques such as Density Functional Theory (DFT), Iterative Full Configuration Interaction (iFCI), Generative AI, Bayesian Optimization, and Chemical Foundation Models, AQBioSim facilitates highly accurate simulations of molecular and material behaviors in real-world scenarios. Among its numerous features, AQBioSim can predict performance under various stressors, enhance formulation processes through in silico testing, and investigate eco-friendly chemical methods. A standout achievement of AQBioSim lies in its remarkable progress in battery technology, where it has cut the time needed for lithium-ion battery end-of-life predictions by an astonishing 95%, while also attaining 35 times greater accuracy using only 50 times less data. This platform thus not only accelerates material innovation but also significantly contributes to advancements in sustainable energy solutions.

Elevate your product design by incorporating simulation and analysis, which helps minimize expensive physical prototyping while enhancing the durability, reliability, and safety of your products. Employing digital prototypes to assess the performance of your designs in real-world scenarios is crucial for successful product development. Creo Simulation is specifically tailored for engineers, featuring a robust suite of structural, thermal, and vibration analysis tools along with an extensive range of finite element analysis (FEA) capabilities. With Creo Simulation, you can effectively evaluate and affirm the performance of your 3D virtual prototypes prior to producing the first physical component. We provide adaptable and innovative simulation solutions to meet the distinct needs of our customers. This section serves as a resource to explore our offerings tailored to your requirements, and should you have any inquiries about our toolset, please do not hesitate to reach out to a Creo representative for assistance. This proactive approach ensures that your products not only meet but exceed expectations in their respective markets.

We are an innovative AI company dedicated to enhancing humanity's understanding of the world around us. Our mission is to address tangible challenges by harnessing the capabilities of AI to uncover hidden patterns and behaviors that often go unnoticed. Introducing Newton, a groundbreaking AI model designed specifically to comprehend the physical environment. This unique foundation model integrates multimodal sensor data with natural language processing, enabling it to perceive and analyze the physical world in real-time. With Newton’s user-friendly model and versatile AI platform, any business operating in the physical realm can seamlessly integrate AI into its core operations. We encourage enterprises and developers to participate in our design partner program, empowering them to leverage Newton in tackling their real-world issues. Together, we can transform various industries and drive meaningful change.

AQChemSim is an innovative cloud-based platform created by SandboxAQ that utilizes Large Quantitative Models (LQMs) based on principles of physics and chemistry to transform the landscape of materials discovery and enhancement. By incorporating techniques such as Density Functional Theory (DFT), Iterative Full Configuration Interaction (iFCI), Generative AI, Bayesian Optimization, and Chemical Foundation Models, AQChemSim facilitates precise simulations of molecular and material dynamics in real-world scenarios. The platform's features allow it to forecast performance under diverse stress conditions, expedite formulation via in silico testing, and investigate eco-friendly chemical processes. Remarkably, AQChemSim has achieved notable progress in battery technology, cutting the prediction time for lithium-ion battery end-of-life by 95%, while also attaining 35 times greater accuracy with a mere fraction of the data previously required. This advancement not only streamlines research but also paves the way for more efficient and sustainable energy solutions in the future.

Lucky Robots is an innovative platform dedicated to robotics simulation that empowers teams to train, assess, and enhance AI models for robots within meticulously crafted virtual environments that closely reflect the nuances of real-world physics, sensors, and interactions. This system facilitates the extensive creation of synthetic training data and allows for swift iterations without the need for physical robots or expensive lab environments. By leveraging cutting-edge simulation technology, it constructs hyper-realistic scenarios, such as kitchens and various terrains, enabling the exploration of diverse edge cases and the generation of millions of labeled episodes to support scalable model learning. This approach not only speeds up development but also significantly cuts costs and minimizes safety risks. Additionally, the platform accommodates natural language control in its simulated environments, provides the flexibility for users to upload their own robot models or select from existing commercial options, and incorporates collaborative tools through LuckyHub for sharing environments and training workflows. As a result, developers can optimize their models more effectively for real-world applications, ultimately enhancing the performance and reliability of their robotic solutions.

NVIDIA PhysicsNeMo is a publicly available Python-based deep-learning framework designed for the creation, training, fine-tuning, and inference of physics-AI models that integrate physical principles with data, thereby enhancing simulations, developing accurate surrogate models, and facilitating near-real-time predictions in various fields such as computational fluid dynamics, structural mechanics, electromagnetics, weather forecasting, climate studies, and digital twin technologies. This framework offers powerful, GPU-accelerated capabilities along with Python APIs that are built on the PyTorch platform and distributed under the Apache 2.0 license, featuring a selection of curated model architectures that include physics-informed neural networks, neural operators, graph neural networks, and generative AI techniques, enabling developers to effectively leverage physics-based causal relationships together with empirical data for high-quality engineering modeling. Additionally, PhysicsNeMo provides comprehensive training pipelines that encompass everything from geometry ingestion to the application of differential equations, along with reference application recipes that help users quickly initiate their development workflows. This combination of features makes PhysicsNeMo an essential tool for engineers and researchers seeking to advance their work in physics-driven AI applications.

Magma is an advanced AI model designed to seamlessly integrate digital and physical environments, offering both vision-language understanding and the ability to perform actions in both realms. By pretraining on large, diverse datasets, Magma enhances its capacity to handle a wide variety of tasks that require spatial intelligence and verbal understanding. Unlike previous Vision-Language-Action (VLA) models that are limited to specific tasks, Magma is capable of generalizing across new environments, making it an ideal solution for creating AI assistants that can interact with both software interfaces and physical objects. It outperforms specialized models in UI navigation and robotic manipulation tasks, providing a more adaptable and capable AI agent.

A Feature-based Product Line Engineering (PLE) Factory functions similarly to a traditional manufacturing facility, but it focuses on digital assets rather than tangible components. To build this factory, your organization develops a comprehensive “superset” supply chain of digital assets that are accessible across the entire range of products. These assets come with all the available feature options provided in the product lineup. The selected features for each product are detailed in the Bill-of-Features, and subsequently, a product asset instance is generated using the Gears product configurator. The PLE Factory, driven by Gears, transforms into an automated production system that assembles and configures the shared digital assets according to the chosen features for each product variant at the simple push of a button. With BigLever’s Gears, your organization benefits from a unified set of PLE concepts and frameworks, enhancing your tools and assets, which ultimately streamlines engineering processes throughout the entire product lifecycle. This integration not only promotes efficiency but also fosters innovation within product development.

MASTA serves as a comprehensive collection of CAE tools designed for the creation, simulation, and analysis of driveline systems, spanning from initial concepts to final production. It allows for the precise and swift development of transmission systems, whether starting from scratch or utilizing existing designs. Users gain an in-depth understanding of how mechanical components will perform throughout their lifecycle, particularly under various customer duty cycles. This software enables the early identification of potential failure modes during the product development phase, facilitating quicker adjustments to design. Key performance metrics can be predicted efficiently during the design process, allowing for extensive evaluation of modifications to transmission configurations, component choices, materials, and manufacturing techniques within a simulated environment. Full system simulations are feasible for any transmission or driveline setup, and integrating manufacturing simulations during design helps to minimize both development time and costs. The unique and modern framework of MASTA, developed entirely in C#, enhances its stability and compatibility with current and future operating systems. Overall, MASTA stands out as a robust solution that addresses the evolving needs of driveline design and analysis.

FEATool Multiphysics – "Physics Simulator Made Easy" – a fully integrated physics simulation, FEA and CFD toolbox. FEATool Multiphysics provides a fully integrated simulation platform that includes a unified user interface for several multi-physics solvers such as OpenFOAM and Computational fluid dynamics (CFD), including SU2 Code and FEniCS. This allows users to model coupled physics phenomena, such as those found in fluid flow and heat transfer, structural, electromagnetics acoustics and chemical engineering applications. FEATool multiphysics is a trusted tool for engineers and researchers in the energy, automotive and semi-conductor industries.

Xcan It is a dynamic QR code management platform that enables organizations to maintain full control over their QR codes across both physical and digital environments. Unlike traditional QR code generators, it allows users to update and modify QR code destinations even after they have been printed and distributed. The platform provides a centralized dashboard where users can create, manage, and track QR code performance in real time. It supports a wide range of use cases, from marketing campaigns and educational materials to enterprise assets and public infrastructure. With its three-step system—create, connect, and control—Xcan It simplifies the process of linking printed materials to digital content. Users can deploy QR codes on signage, packaging, or equipment while ensuring they always lead to accurate and up-to-date information. The platform also offers analytics to track engagement and measure the effectiveness of QR code interactions. This helps organizations make data-driven decisions and optimize their campaigns. Xcan It is designed to reduce waste by eliminating the need for reprints when updates are required. It also supports scalability, allowing businesses to manage thousands of QR codes from a single interface. Overall, it provides a practical and sustainable solution for connecting physical and digital experiences.

Geminus harnesses the capabilities of predictive intelligence by blending artificial intelligence with physics through innovative multi-fidelity modeling techniques. Our pioneering AI, based on first principles, incorporates the physical limitations of the real world into robust predictive frameworks. The Geminus platform adeptly utilizes limited data to swiftly evaluate the dynamics of intricate industrial systems, enabling precise forecasts regarding the effects of key business decisions. By integrating models and data, Geminus's multi-fidelity strategy allows for the rapid creation of highly accurate surrogates, achieving speeds over 1,000 times faster than conventional simulations. Unique to Geminus is its ability to effectively measure model uncertainty, ensuring that you can trust your predictions and the strategic choices they inform. Additionally, Geminus significantly reduces the time taken to develop models from months to mere hours, while demanding far less data and computational resources compared to traditional AI or simulation approaches. The models generated through Geminus are imbued with insights derived from the actual behaviors of real-world systems, providing a deeper understanding that enhances decision-making. This innovative approach not only streamlines the modeling process but also empowers organizations to adapt swiftly to changing environments.

OnScale stands out as the pioneering platform for Cloud Engineering Simulation, merging advanced multiphysics solver technology with the boundless computational capabilities of cloud supercomputers. This innovative solution empowers engineers to execute a vast array of full 3D multiphysics simulations concurrently, enabling the creation of authentic Digital Prototypes that represent the complete operational behavior of intricate high-tech devices. With the aim of delivering an exceptional Cloud Engineering Simulation experience, OnScale Solve is designed to be intuitive, robust, and effective. It operates seamlessly on both public and private cloud supercomputers and features a user-friendly web interface, an API for smooth integration into existing design processes, customizable scripting options for tailored engineering simulations, and plugins that expand its modeling functionalities. Furthermore, OnScale Solve equips engineers with the capability to synthetically generate data crucial for training advanced AI/ML algorithms, thereby enhancing innovation in technology development. This comprehensive platform ensures that engineers have the tools they need to push the boundaries of simulation and design.

Symmetry process simulation software facilitates comprehensive life cycle modeling from initial design through to operational phases, enhancing troubleshooting capabilities, enabling feed and startup analyses, and optimizing system performance effectively. It features an extensive array of design tools specifically for flare and relief systems, allowing users to confirm the efficacy of their entire safety frameworks. The platform boasts versatility, accommodating various applications by evaluating both individual components and complete systems at different levels of detail, whether in steady-state or dynamic conditions. Additionally, Symmetry introduces an innovative methodology for traditional oil pseudo-component characterization methods. By leveraging chemical family structures, its fluid characterization process allows for precise estimation of physical properties in blending, separation, and reactive systems, thus ensuring reliable thermodynamics and effective component tracking throughout the entire system. Furthermore, the software provides a wide range of options that prioritize transparency and user accessibility. This adaptability makes it an invaluable tool for engineers seeking to enhance their process simulations.

GPT-5.2-Codex is a next-generation coding model created to support advanced, agent-driven software development. Built on the GPT-5.2 architecture, it is fine-tuned specifically for real-world engineering tasks. The model excels at working across large codebases while preserving context over long sessions. It handles complex refactors, migrations, and multi-step implementations more reliably than previous Codex models. GPT-5.2-Codex demonstrates top-tier performance in realistic terminal environments. Enhanced tool-calling and improved factual accuracy make it suitable for production workflows. The model is also significantly stronger in cybersecurity-related tasks. It can assist with vulnerability research and defensive security analysis. GPT-5.2-Codex includes safeguards designed to support responsible deployment. It represents a major advancement in professional-grade coding AI.

Cognitive Design by CDS offers an advanced concurrent engineering platform tailored for OEMs and Tier-1 suppliers in the Aerospace, Defense, and Automotive sectors. Utilizing a unique implicit-geometry engine, this platform seamlessly integrates generative design techniques, manufacturing constraints, simulation analysis, and AI-driven design exploration into a single cohesive system. Engineers are able to rapidly generate and evaluate high-performance concepts while incorporating design for manufacturability constraints early in the process, including considerations for Casting, Machining, and Metal Additive Manufacturing. Moreover, it streamlines and automates workflows across entire product lines, significantly reducing design time and minimizing the need for rework at later stages. This innovative solution is utilized by industry leaders not only in Japan but also throughout Europe and the United States, enhancing collaboration and efficiency across global markets.

Introducing a cutting-edge Postgres data platform designed for operators, developers, data engineers, and AI innovators, it supports vital workloads from the edge to the core. The platform offers versatile deployment options across hybrid and multi-cloud environments. EDB Postgres AI stands out as the pioneering intelligent data platform capable of handling transactional, analytical, and emerging AI workloads, all driven by an advanced Postgres engine. Whether deployed as a managed cloud service, self-managed software, or a dedicated physical appliance, it provides essential features such as integrated observability, AI-powered assistance, and migration tools, allowing for streamlined management of hybrid data environments. By connecting analytical and AI systems more closely with essential operational and transactional data, EDB Postgres AI transforms data infrastructure into a key technological asset, all while utilizing the widely embraced open-source database, Postgres. Customers can seamlessly transition from outdated systems thanks to robust Oracle compatibility and a comprehensive set of migration tools designed to facilitate their onboarding process. This innovative platform not only enhances operational efficiency but also empowers organizations to leverage their data strategically for future growth.

AppFactor drastically cuts down both the expenses and manpower typically involved in traditional application modernization efforts. After modernization, our platform enables teams to deploy, manage, and sustain their existing applications in a more streamlined and cost-efficient manner. This not only boosts engineering pace but also enhances vital business applications, fosters innovation, and provides a competitive advantage in the market. Transition legacy applications from physical and virtual servers to a cloud-native format swiftly, initiating an iterative process of architectural modernization, deployment, and ongoing enhancements. Smartly carry over runtime and inter-process connections from various server hosts into cloud-native structures. Expedite the integration of legacy applications into continuous integration and continuous deployment (CI/CD) workflows. Eliminate outdated physical and virtual infrastructure along with the need to upkeep operating systems. Furthermore, ease the cloud migration journey by adopting a gradual modernization approach toward advanced cloud solutions like Kubernetes platforms or Platform as a Service (PaaS), ensuring a smooth transition to the future of application management. Embracing this method not only facilitates immediate gains but also prepares organizations for long-term technological advancements.

TestMu AI, previously known as LambdaTest, is a comprehensive AI-driven Quality Engineering platform that equips teams with the tools needed to optimize testing processes and accelerate deployment. Designed to handle large-scale operations, it provides a complete suite of AI agents that assist in planning, authoring, executing, and analyzing software quality. With its AI-first approach, the platform supports the testing of web, mobile, and enterprise applications across various real devices, browsers, and tailored real-world scenarios, ensuring versatility and efficiency in quality assurance. This innovative solution not only enhances productivity but also drives continuous improvement in software delivery.

LuxCoreRender is an unbiased rendering engine that uses a physically based approach to create high-quality images. Leveraging cutting-edge algorithms, it accurately simulates light's behavior according to fundamental physical principles, resulting in images that resemble real-life photographs. Built upon these physical equations, LuxCoreRender effectively models the journey of light through various mediums. The software utilizes OpenCL technology, allowing it to harness the power of multiple CPUs and GPUs simultaneously for enhanced performance. Notably, LuxCoreRender is constantly available as free software for both personal and commercial use, ensuring widespread accessibility. A testament to its capabilities can be seen in the impressive works created by its users. The engine offers a diverse array of material types, including realistic representations of metals, glass, and automotive paint, alongside standard options like matte and glossy finishes. Additionally, LuxCoreRender provides features for dynamic and interactive scene editing, enabling users to modify their projects in real-time for optimal results. This flexibility makes LuxCoreRender an invaluable tool for both hobbyists and professionals alike.

NVIDIA Modulus is an advanced neural network framework that integrates the principles of physics, represented through governing partial differential equations (PDEs), with data to create accurate, parameterized surrogate models that operate with near-instantaneous latency. This framework is ideal for those venturing into AI-enhanced physics challenges or for those crafting digital twin models to navigate intricate non-linear, multi-physics systems, offering robust support throughout the process. It provides essential components for constructing physics-based machine learning surrogate models that effectively merge physics principles with data insights. Its versatility ensures applicability across various fields, including engineering simulations and life sciences, while accommodating both forward simulations and inverse/data assimilation tasks. Furthermore, NVIDIA Modulus enables parameterized representations of systems that can tackle multiple scenarios in real time, allowing users to train offline once and subsequently perform real-time inference repeatedly. As such, it empowers researchers and engineers to explore innovative solutions across a spectrum of complex problems with unprecedented efficiency.

Modelon’s OPTIMICA Compiler Toolkit stands out as the market's leading Modelica-based mathematical engine, providing users with a robust solution for automating, simulating, and optimizing system behaviors across the model-based design cycle. As the trusted compiler for Modelon Impact, OPTIMICA allows users to construct multi-domain physical systems by selecting from a vast library of model components. The toolkit’s cutting-edge solvers facilitate the evaluation of intricate physical systems, accommodating both transient simulations and steady-state calculations, as well as dynamic optimization. With its advanced mathematical capabilities, OPTIMICA can effectively manipulate and streamline models to enhance performance and reliability, catering to diverse industries and applications that range from automotive and active safety to energy and power generation optimization. Given the growing demand for effective power regulation in the contemporary energy landscape, optimizing the startup processes of thermal power plants has become a critical industrial requirement. Furthermore, the flexibility and efficiency of OPTIMICA make it an invaluable asset for engineers tackling complex system challenges.

Adams aids engineers in analyzing the dynamics of moving components and the distribution of loads and forces across mechanical systems. Often, product manufacturers face challenges in grasping the actual performance of their systems until later stages of the design process. While mechanical, electrical, and other subsystems undergo validation in line with their specific requirements during the systems engineering phase, comprehensive testing and validation of the entire system occur too late, resulting in costly and risky rework and design modifications. As the leading and most utilized Multibody Dynamics (MBD) software globally, Adams enhances engineering productivity and lowers product development expenses by facilitating early validation of system-level designs. This allows engineers to assess and manage intricate interactions among various disciplines, such as motion, structures, actuation, and controls, ultimately leading to optimized product designs that prioritize performance, safety, and user comfort. By addressing potential issues earlier in the process, Adams empowers engineers to create more reliable and efficient products.