Alternatives to STOCHOS
Compare STOCHOS alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to STOCHOS in 2026. Compare features, ratings, user reviews, pricing, and more from STOCHOS competitors and alternatives in order to make an informed decision for your business.
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1
NeuralWing
Emmi AI
NeuralWing is a real-time neural simulation and design optimization model for transonic aircraft aerodynamics. It is built around the largest 3D transonic wing dataset, created from 30,000 steady-state CFD simulations of a 3D wing in the transonic regime, with variations across four geometry parameters and two inflow conditions. Using Emmi’s AB-UPT surrogate model trained on this data, NeuralWing enables users to modify wing geometry, test optimizations, and maximize aerodynamic efficiency in seconds. The model supports transonic 3D wing simulation, geometry and inflow variations, real-time inference, and design-parameter optimization. Its inputs include a geometry mesh in STL format, speed, and angle of attack, while its outputs include pressure, friction, velocity fields, and integral forces such as lift and drag. Geometry meshes are created in real time from four design parameters in a differentiable manner, allowing fast exploration of design changes.Starting Price: Free -
2
Geminus
Geminus
Geminus unleashes the power of predictive intelligence by intersecting AI and physics with multi-fidelity modeling. Our novel, first-principles AI translates the constraints of the physical world inside resilient predictive models. The Geminus platform leverages sparse data to quickly analyze the behavior of complex industrial systems, and precisely predict the impact of decisions that drive your business forward. The Geminus multi-fidelity approach fuses models with data, which enables you to create highly accurate surrogates over 1,000x faster than simulation. Only Geminus accurately quantifies model uncertainty, so you can be confident in your predictions and the decisions they inspire. Geminus compresses model creation time from months to hours requiring far fewer data and computes resources than traditional AI, or simulation methods. Models built on Geminus are infused with an understanding of the known behavior of real-world systems. -
3
AgenaRisk
Agena
AGENARISK uses the latest developments from the field of Bayesian artificial intelligence and probabilistic reasoning to model complex, risky problems and improve how decisions are made. You can use AgenaRisk models to make predictions, perform diagnostics and make decisions by combining data and knowledge about complex causal and other dependencies in the real world. Our clients use AgenaRisk to model a variety of problems involving risk and uncertainty including operational risk, actuarial analysis, intelligence analysis risk, systems safety and reliability, health risk, cyber-security risk and strategic financial planning. AgenaRisk designs and markets groundbreaking products using Bayesian Network technology. Our technology and accompanying methodology has been published in top academic AI, machine learning, actuarial, decision science and cognitive science journals. -
4
Ansys Mechanical
Ansys
Ansys Mechanical is a best-in-class finite element solver with structural, thermal, acoustics, transient and nonlinear capabilities to improve your modeling. Ansys Mechanical enables you to solve complex structural engineering problems and make better, faster design decisions. With the finite element analysis (FEA) solvers available in the suite, you can customize and automate solutions for your structural mechanics problems and parameterize them to analyze multiple design scenarios. Ansys Mechanical is a dynamic tool that has a complete range of analysis tools. Ansys Mechanical offers a dynamic environment with a complete range of analysis tools, from preparing geometry for analysis to connecting additional physics for even greater fidelity. The intuitive and customizable user interface enables engineers of all levels to get answers fast and with confidence. Ansys Mechanical creates an integrated platform that uses finite element analysis (FEA) for structural analysis. -
5
CADdoctor
Elysium
CADdoctor is the ultimate tool to maximize and accelerate your 3D data. CADdoctor goes beyond CAD translation to provide geometry error detection, healing, simplification, and enhance your data for downstream processing. CADdoctor was designed to support your 3D data utilization. Going beyond CAD-to-CAD translation, CADdoctor has advanced capabilities to detect and heal errors along with optimizing data for downstream processing. For instance, by prepping data for FEA mesh generation. With CADdoctor, streamline and maximize the use of your 3D data. Explore the possibilities of CADdoctor when you free yourself from complex integrations, time-costing errors, and project delays. Let CADdoctor take the uncertainty out of your 3D data. Built on highly advanced 3D geometry handling technology and CAD systems’ API, CADdoctor can translate your CAD data with the highest fidelity toward your target system. -
6
Ansys CFX
Ansys
Known for its extreme robustness, CFX is the gold standard CFD software when it comes to turbomachinery applications. Both solver and models are wrapped in a modern, intuitive, and flexible GUI, with extensive capabilities for customization and automation using session files, scripting and a powerful expression language. Highly scalable high-performance computing will help speed up simulations including pumps, fans, compressors and turbines. New manufacturing methods have opened the door to more effective turbine cooling channel geometries. The new geometries will lead to better performance and efficiency but are more complex. To achieve highly accurate results, a team of Purdue engineers turned to Ansys CFX. The engineers executed key computations with little turnaround time. With the extra time, they could perform more in-depth comparisons and run further simulations to fully optimize their product. -
7
ANSYS SpaceClaim
ANSYS
Ansys SpaceClaim’s unique user interface, modeling technology and versatile tool set help you create and modify imported geometry — without the complexity associated with traditional CAD systems. When working with existing CAD models, you can de-feature and simplify geometry with automated, easy-to-learn tools. Ansys SpaceClaim is ideal for engineers who don’t have time for heavy CAD tools, but want and need to get 3D answers fast. SpaceClaim provides analysts with tools for accelerating geometry preparation for simulation. Whether de-featuring CAD models, extracting fluid domains, or simplifying a model to beam and shell elements, SpaceClaim removes geometry bottlenecks freeing analysts to focus on their simulations. With control of geometry, analysts can enable simulation-driven design, eliminate delays between design teams and analysts, and easily understand how design changes impact results. -
8
NVIDIA PhysicsNeMo
NVIDIA
NVIDIA PhysicsNeMo is an open source Python deep-learning framework for building, training, fine-tuning, and inferring physics-AI models that combine physics knowledge with data to accelerate simulations, create high-fidelity surrogate models, and enable near-real-time predictions across domains such as computational fluid dynamics, structural mechanics, electromagnetics, weather and climate, and digital twin applications. It provides scalable, GPU-accelerated tools and Python APIs built on PyTorch and released under the Apache 2.0 license, offering curated model architectures including physics-informed neural networks, neural operators, graph neural networks, and generative AI–based approaches so developers can harness physics-driven causality alongside observed data for engineering-grade modeling. PhysicsNeMo includes end-to-end training pipelines from geometry ingestion to differential equations, reference application recipes to jump-start workflows.Starting Price: Free -
9
NeuralMould
Emmi AI
NeuralMould is Emmi AI’s Large Engineering Model for injection molding, described as a new gold standard in AI for engineering: any geometry, any material, any injection gates, one model. It lets users select from a range of geometries and test injection, material, and gate placement parameters to simulate filling behavior in seconds, rapidly compare multiple scenarios, optimize process KPIs, and avoid frozen flow fronts. Injection molding simulation is highly complex because it involves multi-physics calculations that model transient flow of viscous plastic through thin-walled geometries under extreme temperature and pressure conditions. NeuralMould captures these phenomena across a wide range of injecting conditions and mold geometries, achieving performance comparable to traditional solvers with a fraction of the computation time. The model supports multi-material scenarios, fast prototyping, multi-gate configurations, and multiple process parameters.Starting Price: Free -
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SANCARE
SANCARE
SANCARE is a start-up specializing in Machine Learning applied to hospital data. We collaborate with some of the best scientists in the field. SANCARE provides Medical Information Departments with an ergonomic and intuitive interface, promoting rapid adoption. The user has access to all the documents that constitute the computerized patient record. A true production tool, each step of the coding process is traced for external checks. Machine learning makes it possible to develop powerful predictive models from large volumes of data, and to take into account the notion of context, which is not possible for rule engines or semantic analysis engines. It is therefore possible to automate complex decision-making processes or to detect weak signals ignored by humans. The SANCARE software machine learning engine is based on a probabilistic approach. It learns over a large amount of examples to predict the right codes, without any indication. -
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It is not always possible or practical to predict and model spatial phenomena through real world observations. ArcGIS Geostatistical Analyst lets you generate optimal surfaces from sample data and evaluate predictions for better decision making. These are especially helpful for atmospheric data analysis, petroleum and mining exploration, environmental analysis, precision agriculture, and fish and wildlife studies. ArcGIS Geostatistical Analyst extension offers a suite of interactive tools to visually investigate your data prior to analysis. When data are incomplete or subject to error, ArcGIS Geostatistical Analyst provides a probabilistic framework for quantifying uncertainties. Create multiple versions of a surface to perform risk analyses. Geostatistical simulation produces multiple surfaces that mimic the real phenomenon and provide possible values.
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12
Alchemite
Intellegens
Alchemite provides AI-augmented physical modeling and solutions that help organizations extract actionable insights from experimental and simulation data by combining machine learning with physics-informed models to improve prediction accuracy, reduce experimental costs, and optimize product and process development. Its solutions span materials discovery and design, predictive modelling of performance and reliability, multiscale modelling that connects atomistic to macroscopic behaviour, and automation of workflow tasks such as data integration, surrogate modelling, and model validation. It supports physics-aware neural networks and hybrid modelling approaches that respect underlying scientific laws while learning from data to enable faster and more accurate simulations, reduced reliance on expensive physical testing, and improved decision-making. Intellegens’ tools are applied in areas such as battery performance prediction, chemical process optimization, etc. -
13
FireFlow Studio for FDS
FireFlow Studios
FireFlow Studio for FDS is a fully integrated Windows GUI for NIST's Fire Dynamics Simulator (FDS), built by a practising fire safety engineer for fire engineering consultancies. It covers the complete workflow in one application: 3-D geometry modelling with DXF floor-plan tracing and automatic voxelisation of arcs and circles, multi-mesh setup with visible cells and MPI splitting, a guided fire-design wizard with a D* flame-resolution calculator, one-click runs of the bundled unmodified FDS solver with live monitoring of HRR and device outputs, and an integrated 3-D results viewer with slices, boundary quantities, smoke rendering, scenario-comparison tabs and CSV/PNG export. A built-in finite-element heat-transfer solver is live-coupled to the running FDS simulation, so structural steel temperatures develop alongside the fire with no external FEA package. Hand-written FDS decks round-trip.Starting Price: $449.99 AUD one-time (perpetua -
14
Ansys Discovery
Ansys
Ansys Discovery features the first simulation-driven design tool combining instant physics simulation, high-fidelity simulation and interactive geometry modeling in a single easy-to-use experience. By combining interactive modeling and multiple simulation capabilities in a first-of-its-kind product, Discovery allows you to answer critical design questions earlier in the design process. This upfront approach to simulation saves time and effort on prototyping as you explore multiple design concepts in real time with no need to wait for simulation results. Ansys Discovery answers critical design questions early in your process with speed and accuracy. Boost productivity and performance by eliminating long waits for simulation results. Discovery lets engineers focus on innovation and product performance. By answering critical design questions early in the process, thus decreasing engineer labor and physical prototyping costs, Ansys Discovery allows for a ROI boost across your organization. -
15
CPillar
Rocscience
Get quick and easy stability analysis of surface or underground crown pillars and laminated roof beds using three different limit equilibrium analysis methods: rigid plate, elastic plate, and Voussoir (no tension) plate analysis. Perform probabilistic analysis to determine the probability of failure. Model variability in geometry, point of force application, joint and bedding strength, water pressure, external loads and more by assigning statistical distributions to variables. Perform sensitivity analysis using a range of values to evaluate the effects of changing model parameters on factor of safety. Originally developed for steeply dipping ore body geometries, by estimating crown geometry and assessing the stope geometry as steep or shallow, you can apply the most appropriate empirical relationships to your model.Starting Price: $495 per year -
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Particleworks
Prometech Software
Particleworks is particle-based CAE and CFD software for simulating liquid and multiphase flows using the Moving Particle Simulation method. Its mesh-less solver and intuitive interface make the simulation process simple and fast, even for complex geometries with moving parts such as transmissions, electric motors, internal combustion engines, and other industrial systems. Unlike conventional mesh-based CFD, Particleworks discretizes the fluid domain automatically with particles, eliminating complex mesh generation and making it easier to analyze free-surface flow, splashing, sloshing, spraying, mixing, lubrication, cooling, oil behavior, water interaction, and highly viscous fluids. It provides one-stop GUI operation from pre-processing through post-processing, helping engineers set up models, run simulations, visualize results, and evaluate performance in a streamlined workflow. -
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Ansys Autodyn
Ansys
Simulate the response of materials to events ranging from short duration severe mechanical loadings, high pressures and even explosions. Ansys Autodyn provides advanced solution methods without compromising ease of use. Ansys Autodyn makes it easy to quickly understand and simulate large material deformation or failure. Autodyn has a range of models to represent complex physical phenomena such as the interaction of liquids, solids and gases; the phase transitions of materials; and the propagation of shock waves. By Integrating within Ansys Workbench and its own native-user interface, Ansys Autodyn has long led the industry in ease of use, enabling you to produce accurate results with the least amount of time and effort. The smooth particle hydrodynamics (SPH) solver completes the picture to provide everything needed for explicit analysis. Ansys Autodyn lets you select from different solver technologies so the most effective solver can be used for a given part of the model. -
18
PowerFLOW
Dassault Systèmes
By leveraging our unique, inherently transient Lattice Boltzmann-based physics PowerFLOW CFD solution performs simulations that accurately predict real world conditions. Using the PowerFLOW suite, engineers evaluate product performance early in the design process prior to any prototype being built — when the impact of change is most significant for design and budgets. PowerFLOW imports fully complex model geometry and accurately and efficiently performs aerodynamic, aeroacoustic and thermal management simulations. Automated domain discretization and turbulence modeling with wall treatment eliminates the need for manual volume meshing and boundary layer meshing. Confidently run PowerFLOW simulations using large number of compute cores on common High Performance Computing (HPC) platforms. -
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evoML
TurinTech AI
evoML accelerates the creation of production-quality machine learning models by streamlining and automating the end-to-end data science workflow, transforming raw data into actionable insights in days instead of weeks. It automates crucial steps, automatic data transformation that detects anomalies and handles imbalances, feature engineering via genetic algorithms, parallel model evaluation across thousands of candidates, multi-objective optimization on custom metrics, and GenAI-based synthetic data generation for rapid prototyping under data-privacy constraints. Users fully own and customize generated model code for seamless deployment as APIs, databases, or local libraries, avoiding vendor lock-in and ensuring transparent, auditable workflows. EvoML empowers teams with intuitive visualizations, interactive dashboards, and charts to identify patterns, outliers, and anomalies for use cases such as anomaly detection, time-series forecasting, and fraud prevention. -
20
Apache PredictionIO
Apache
Apache PredictionIO® is an open-source machine learning server built on top of a state-of-the-art open-source stack for developers and data scientists to create predictive engines for any machine learning task. It lets you quickly build and deploy an engine as a web service on production with customizable templates. Respond to dynamic queries in real-time once deployed as a web service, evaluate and tune multiple engine variants systematically, and unify data from multiple platforms in batch or in real-time for comprehensive predictive analytics. Speed up machine learning modeling with systematic processes and pre-built evaluation measures, support machine learning and data processing libraries such as Spark MLLib and OpenNLP. Implement your own machine learning models and seamlessly incorporate them into your engine. Simplify data infrastructure management. Apache PredictionIO® can be installed as a full machine learning stack, bundled with Apache Spark, MLlib, HBase, Akka HTTP, etc.Starting Price: Free -
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Simcenter Inspire
Siemens
Simcenter Inspire is a Siemens simulation-driven design platform that helps users generate, optimize, validate, and manufacture innovative parts in one environment. It brings CAE capabilities into a CAD-like workspace so designers can explore concepts, test performance, and assess manufacturability earlier in the design process. The software combines geometry modeling, generative design, manufacturing simulation, and GPU-enhanced rendering to support faster product development. Simcenter Inspire includes advanced hybrid modeling tools that allow users to work with BRep, PolyNURBS, facets, and implicit geometry. It also provides embedded solvers for structural, motion, and fluid performance exploration while reducing or automating meshing. With optimization tools for lightweighting, material efficiency, and structural refinement, Simcenter Inspire helps teams move from early design ideas to manufacturable products with greater confidence. -
22
SAM 3D
Meta
SAM 3D is a pair of advanced foundation models designed to convert a single standard RGB image into a high-fidelity 3D reconstruction of either objects or human bodies. It comprises SAM 3D Objects, which recovers full 3D geometry, texture, and layout of objects within real-world scenes, handling clutter, occlusions, and diverse lighting, and SAM 3D Body, which produces animatable human mesh models with detailed pose and shape, built on the “Meta Momentum Human Rig” (MHR) format. It is engineered to generalize across in-the-wild images without further training or finetuning: you upload an image, prompt the model by selecting the object or person, and it outputs a downloadable asset ready for use in 3D applications. SAM 3D emphasizes open vocabulary reconstruction (any object category), multi-view consistency, occlusion reasoning, and a massive new dataset of over one million annotated real-world images, enabling its robustness.Starting Price: Free -
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MIDAS FEA NX
MIDAS FEA NX
MIDAS FEA NX is a specialized finite element analysis (FEA) software built to support detailed structural and civil engineering simulations by providing a user-friendly, CAD-like modeling environment paired with advanced analysis capabilities. It allows engineers to import various 3D CAD formats directly and create high-quality finite element meshes using automatic and hybrid mesh generation techniques, reducing manual preparation time and improving model accuracy. It supports both linear and nonlinear analyses, including complex simulations with high-performance solvers and parallel computing to handle large, real-world projects efficiently. FEA NX excels at refined method analysis required by design codes for structures with complex geometry, enabling in-depth evaluation of stress, deformation, and behavior under diverse loading conditions. It integrates seamlessly with the broader MIDAS COLLECTION tools and other structural analysis programs. -
24
Patran
Hexagon AB
Patran provides a rich set of tools that streamline the creation of analysis ready models for linear, nonlinear, explicit dynamics, thermal, and other finite element solutions. From geometry cleanup tools that make it easy for engineers to deal with gaps and slivers in CAD, to solid modeling tools that enable creation of models from scratch, Patran makes it easy for anyone to create FE models. Meshes are easily created on surfaces and solids alike using fully automated meshing routines, manual methods that provide more control, or combinations of both. Finally, loads, boundary conditions, and analysis setup for most popular FE solvers is built in, minimizing the need to edit input decks. Patran's comprehensive and industry tested capabilities ensure that your virtual prototyping efforts provide results fast so that you can evaluate product performance against requirements and optimize your designs. -
25
Seed3D
ByteDance
Seed3D 1.0 is a foundation-model pipeline that takes a single input image and generates a simulation-ready 3D asset, including closed manifold geometry, UV-mapped textures, and physically-based rendering material maps, designed for immediate integration into physics engines and embodied-AI simulators. It uses a hybrid architecture combining a 3D variational autoencoder for latent geometry encoding, and a diffusion-transformer stack to generate detailed 3D shapes, followed by multi-view texture synthesis, PBR material estimation, and UV texture completion. The geometry branch produces watertight meshes with fine structural details (e.g., thin protrusions, holes, text), while the texture/material branch yields multi-view consistent albedo, metallic, and roughness maps at high resolution, enabling realistic appearance under varied lighting. Assets generated by Seed3D 1.0 require minimal cleanup or manual tuning. -
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Ansys Sherlock
Ansys
Ansys Sherlock is the only reliability physics-based electronics design tool that provides fast and accurate life predictions for electronic hardware at the component, board and system levels in early stage design. Ansys Sherlock automated design analysis provides fast and accurate life predictions for electronic hardware at the component, board and system levels in early design stages. Sherlock bypasses the ‘test-fail-fix-repeat’ cycle by empowering designers to accurately model silicon–metal layers, semiconductor packaging, printed circuit boards (PCBs) and assemblies to predict failure risks due to thermal, mechanical and manufacturing stressors--all before prototype. With embedded libraries containing over 500,000 parts, Sherlock rapidly converts electronic computer-aided design (ECAD) files into computational fluid dynamics (CFD) and finite element analysis (FEA) models. Each model contains accurate geometries, material properties and translates stress information. -
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Scale Data Engine
Scale AI
Scale Data Engine helps ML teams build better datasets. Bring together your data, ground truth, and model predictions to effortlessly fix model failures and data quality issues. Optimize your labeling spend by identifying class imbalance, errors, and edge cases in your data with Scale Data Engine. Significantly improve model performance by uncovering and fixing model failures. Find and label high-value data by curating unlabeled data with active learning and edge case mining. Curate the best datasets by collaborating with ML engineers, labelers, and data ops on the same platform. Easily visualize and explore your data to quickly find edge cases that need labeling. Check how well your models are performing and always ship the best one. Easily view your data, metadata, and aggregate statistics with rich overlays, using our powerful UI. Scale Data Engine supports visualization of images, videos, and lidar scenes, overlaid with all associated labels, predictions, and metadata. -
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LiveLink for MATLAB
Comsol Group
Seamlessly integrate COMSOL Multiphysics® with MATLAB® to extend your modeling with scripting programming in the MATLAB environment. LiveLink™ for MATLAB® allows you to utilize the full power of MATLAB and its toolboxes in preprocessing, model manipulation, and postprocessing. Enhance your in-house MATLAB code with powerful multiphysics simulations. Base your geometry modeling on probabilistic or image data. Use multiphysics models together with Monte Carlo simulations and genetic algorithms. Export COMSOL models on state-space matrix format for incorporating into control systems. Interface in the COMSOL Desktop® environment enables the use of MATLAB® functions while modeling. Manipulate your models from the command line or script to parameterize the geometry, physics, or the solution scheme. -
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KServe
KServe
Highly scalable and standards-based model inference platform on Kubernetes for trusted AI. KServe is a standard model inference platform on Kubernetes, built for highly scalable use cases. Provides performant, standardized inference protocol across ML frameworks. Support modern serverless inference workload with autoscaling including a scale to zero on GPU. Provides high scalability, density packing, and intelligent routing using ModelMesh. Simple and pluggable production serving for production ML serving including prediction, pre/post-processing, monitoring, and explainability. Advanced deployments with the canary rollout, experiments, ensembles, and transformers. ModelMesh is designed for high-scale, high-density, and frequently-changing model use cases. ModelMesh intelligently loads and unloads AI models to and from memory to strike an intelligent trade-off between responsiveness to users and computational footprint.Starting Price: Free -
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Atinary SDLabs Platform
Atinary
Atinary's Self-Driving Labs (SDLabs) platform is an AI and machine learning solution designed to digitize and automate R&D workflows, enabling traditional laboratories to transition from manual experiments to autonomous experimentation. It facilitates the design and optimization of experiments through a closed-loop system that integrates AI-driven hypotheses, predictions, and decisions. Key features include multi-objective optimization, database management, workflow orchestration, and real-time data analytics. Users can define experiments with constraints, allow the ML algorithms to decide on subsequent iterations, run experiments (with or without robotic assistance), analyze data, and retrain models with new data, thereby accelerating the discovery of better, cheaper, and greener products. Atinary's proprietary algorithms, such as Emmental for non-linear constrained optimization, SeMOpt for transfer learning in Bayesian optimization, and Falcon. -
31
Analytic Solver
Frontline Systems
Analytic Solver Optimization - 100% upward compatible from the Excel Solver - handles every type and size of the conventional optimization problem (without uncertainty). Unlike other optimization software, it algebraically analyzes your model structure and maximally exploits multiple cores in your PC. You can solve nonlinear models 10 times larger, and linear models 40 times larger than the Excel Solver, get solutions much faster – and plug-in Solver Engines to handle up to millions of variables! Analytic Solver Simulation gives you easy-to-use, powerful Monte Carlo simulation and risk analysis, decision trees, and simulation optimization using Frontline’s advanced Evolutionary Solver. With 60 probability distributions plus compound distributions, automatic distribution fitting, rank-order and copula-based correlation, 80 statistics, risk measures and Six Sigma functions, multiple parameterized simulations and more. -
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Eyeshot
devdept
Eyeshot is a CAD control based on the Microsoft NET Framework. It allows developers to add CAD functionalities to WinForms and WPF applications in a snap. Eyeshot provides tools for building geometry from scratch, for analyzing it with finite element method and to generate toolpaths on it. Geometry can also be imported or exported using CAD exchange file formats. Combine multiple data sources, input devices and CAD entity types as has never been possible before. Import your dataset from file or from Visual Studio project resources or from database. Allow end-users to interact using keyboard, mouse, 3D mouse or fingers. Select between Mesh, Solid and Nurbs surface modeling technologies to unleash your creativity. Eyeshot is the only 100% NET CAD component on the market. With 60+ source code samples (in both C# and VB NET and for both WinForms and WPF platforms) it’s also the easiest to learn.Starting Price: €700 one-time payment -
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NVIDIA Modulus
NVIDIA
NVIDIA Modulus is a neural network framework that blends the power of physics in the form of governing partial differential equations (PDEs) with data to build high-fidelity, parameterized surrogate models with near-real-time latency. Whether you’re looking to get started with AI-driven physics problems or designing digital twin models for complex non-linear, multi-physics systems, NVIDIA Modulus can support your work. Offers building blocks for developing physics machine learning surrogate models that combine both physics and data. The framework is generalizable to different domains and use cases—from engineering simulations to life sciences and from forward simulations to inverse/data assimilation problems. Provides parameterized system representation that solves for multiple scenarios in near real time, letting you train once offline to infer in real time repeatedly. -
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Ansys Icepak
Ansys
Ansys Icepak is a CFD solver for electronics thermal management. It predicts airflow, temperature, and heat transfer in IC packages, PCBs, electronic assemblies/enclosures, and power electronics. Ansys Icepak provides powerful electronic cooling solutions that utilize the industry-leading Ansys Fluent computational fluid dynamics (CFD) solver for thermal and fluid flow analyses of integrated circuits (ICs), packages, printed circuit boards (PCBs), and electronic assemblies. The Ansys Icepak CFD solver uses the Ansys Electronics Desktop (AEDT) graphical user interface (GUI). Perform conduction, convection, and radiation conjugate heat transfer analyses, with many advanced capabilities to model laminar and turbulent flows, and species analysis including radiation and convection. Ansys’ complete PCB design solution enables you to simulate PCBs, ICs, and packages and accurately evaluate an entire system. -
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windPRO
EMD
windPRO covers everything from wind data analysis, calculation of energy yields, quantification of uncertainties, assessment of site suitability, to calculation and visualization of environmental impact. windPRO can also be used for the detailed post-construction analysis of production data. All are available in separate modules as needed. With windPRO, you can model all kinds of wind energy projects. From the simplest single turbine project to large-scale multi-mast, multi-turbine, multi-neighbor projects. Select the right wind turbine model by utilizing the catalog of over 1.000 models approved by manufacturers. The cost of energy relies heavily on the available wind resource. You can use wind resource maps in windPRO to find the best spots. Let the optimized OPTIMIZE module do the dirty work of finding the optimal turbine layout. -
36
Ansys VeloceRF
Ansys
Ansys VeloceRF shortens the design cycle by greatly reducing the time it takes to synthesize and model complex spiral devices and T-lines. It takes only a few seconds to compile an inductor or transformer geometry, and just a couple of minutes to model and analyze it. It integrates with leading EDA platforms, instantiating ready-to-tape-out layouts. Ansys VeloceRF allows you to synthesize devices with tight packing of multiple devices and lines for an optimized silicon floorplan. Analysis of the coupling among any number of inductive devices before detailed layout will reduce design size and reduce or eliminate guard rings. Inductor size as well as inductor-to-inductor crosstalk can impact the die size. Ansys VeloceRF helps you design smaller devices through the use of optimization criteria and geometry constraints. In addition, it calculates coupling among any number of inductors to better optimize silicon real estate and to optimize inductors in circuit context. -
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CAESES
FRIENDSHIP SYSTEMS AG
CAESES® foundation is a powerful and flexible parametric 3D modeler. The main purpose: Robust variable geometry with fewer parameters. Create a clean and robust parametric geometry that is ideal for automated meshing and analysis. Integrate, launch and control your simulation runs. Let it be your flexible GUI for process automation incl. 3D post-processing. CAESES® offers integrated methods for automated design explorations and shape optimization. Optimize imported geometries by using the shape deformation and morphing techniques of CAESES. CAESES® is a command-driven platform that can be fully scripted and customized. Includes batch mode capabilities. Accelerate your shape optimization process by mapping the results of an adjoint flow analysis to the geometry parameters. Get your flexible CAESES model in just a few days! Customized to your needs and easy to use. No CAESES expertise required. -
38
CADfix
International TechneGroup
CADfix is the leading software solution for CAD model translation, repair, healing, defeaturing, and simplification. CADfix tackles the ever-present problems of 3D model data exchange and re-use between different engineering applications, removing the barriers that prevent the re-use of solid models in design, analysis, and manufacturing systems. CADfix delivers breakthroughs in geometry processing, tackling some of the toughest 3D geometry issues affecting the industry. ITI works closely with customers to develop leading-edge novel geometry processing technology that will have a significant impact on engineering process efficiency. Take a look at some of the applications below to see how CADfix meets the demands of today’s leading engineering enterprises. CADfix delivers breakthroughs in geometry processing, tackling some of the toughest 3D geometry issues affecting the industry. ITI works closely with customers to develop leading-edge novel geometry processing technology. -
39
Amazon SageMaker Autopilot
Amazon
Amazon SageMaker Autopilot eliminates the heavy lifting of building ML models. You simply provide a tabular dataset and select the target column to predict, and SageMaker Autopilot will automatically explore different solutions to find the best model. You then can directly deploy the model to production with just one click or iterate on the recommended solutions to further improve the model quality. You can use Amazon SageMaker Autopilot even when you have missing data. SageMaker Autopilot automatically fills in the missing data, provides statistical insights about columns in your dataset, and automatically extracts information from non-numeric columns, such as date and time information from timestamps. -
40
3LC
3LC
Light up the black box and pip install 3LC to gain the clarity you need to make meaningful changes to your models in moments. Remove the guesswork from your model training and iterate fast. Collect per-sample metrics and visualize them in your browser. Analyze your training and eliminate issues in your dataset. Model-guided, interactive data debugging and enhancements. Find important or inefficient samples. Understand what samples work and where your model struggles. Improve your model in different ways by weighting your data. Make sparse, non-destructive edits to individual samples or in a batch. Maintain a lineage of all changes and restore any previous revisions. Dive deeper than standard experiment trackers with per-sample per epoch metrics and data tracking. Aggregate metrics by sample features, rather than just epoch, to spot hidden trends. Tie each training run to a specific dataset revision for full reproducibility. -
41
Ansys Cloud Direct
Ansys
Access Ansys Cloud Direct anywhere, anytime to obtain endless simulation capabilities compatible with most Ansys solvers. Engineering simulation has long been constrained by fixed computing resources available on a desktop or cluster. Ansys Cloud provides access to on-demand, cloud-based computing resources, including both interactive workstations and HPC clusters, for faster, high-fidelity results offering greater performance insight. Ansys Cloud increases simulation throughput by removing the hardware barrier. Ansys Cloud Direct is a scalable and cost-effective approach to HPC in the cloud. To leverage the combined benefits of cloud computing and best-in-class engineering simulation, Ansys partnered with Microsoft® Azure™ to create a secure cloud solution. Within Ansys Mechanical, Ansys Fluent, Ansys Electronics Desktop, Ansys SPEOS, Ansys Discovery, Ansys LS-Dyna, Ansys LST, Ansys CFX and Ansys Lumerical, you can easily access HPC in the cloud directly from the applications -
42
MLBox
Axel ARONIO DE ROMBLAY
MLBox is a powerful Automated Machine Learning python library. It provides the following features fast reading and distributed data preprocessing/cleaning/formatting, highly robust feature selection and leak detection, accurate hyper-parameter optimization in high-dimensional space, state-of-the art predictive models for classification and regression (Deep Learning, Stacking, LightGBM), and prediction with models interpretation. MLBox main package contains 3 sub-packages: preprocessing, optimization and prediction. Each one of them are respectively aimed at reading and preprocessing data, testing or optimizing a wide range of learners and predicting the target on a test dataset. -
43
Prompt2CAD
Prompt2CAD
Prompt2CAD turns plain-language descriptions into real, dimensioned CAD geometry in the browser. Users describe furniture, mechanical parts, product enclosures, prototypes, or other physical objects, then refine the generated parametric model with live controls and export production-friendly files including STEP, DXF, OBJ, STL, and GLB. Unlike generic AI 3D mesh tools, Prompt2CAD focuses on precise CAD-style geometry that can be edited, measured, and built.Starting Price: Free to start -
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Dive
Dive
Dive CAE is a cloud-native computational fluid dynamics software platform that enables engineers to simulate complex fluid behaviors, such as free-surface flow, multiphase interactions, heat transfer, and moving machinery, using a mesh-free Smoothed Particle Hydrodynamics method. It runs entirely in the browser and on high-performance computing infrastructure, so users don’t need local hardware or installation. The mesh-free approach allows for modeling of complex geometry, surface tension, non-Newtonian fluids, and transient flows without the time-consuming meshing and tuning required by conventional CFD. Onboarding is fast (typically under one day), and the software supports parallel design-of-experiment workflows that deliver multiple iterations in hours rather than days. Dive CAE emphasizes collaboration, license simplicity (one licence for all users), transparent cost control, data usage governance, and scalability via cloud infrastructure. -
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Ensemble Dark Matter
Ensemble
Train accurate ML models on limited, sparse, and high-dimensional data without extensive feature engineering by creating statistically optimized representations of your data. By learning how to extract and represent complex relationships in your existing data, Dark Matter improves model performance and speeds up training without extensive feature engineering or resource-intensive deep learning, enabling data scientists to spend less time on data and more time-solving hard problems. Dark Matter significantly improved model precision and f1 scores in predicting customer conversion in the online retail space. Model performance metrics improved across the board when trained on an optimized embedding learned from a sparse, high-dimensional data set. Training XGBoost on a better representation of the data improved predictions of customer churn in the banking industry. Enhance your pipeline, no matter your model or domain. -
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With Amazon SageMaker Model Monitor, you can select the data you would like to monitor and analyze without the need to write any code. SageMaker Model Monitor lets you select data from a menu of options such as prediction output, and captures metadata such as timestamp, model name, and endpoint so you can analyze model predictions based on the metadata. You can specify the sampling rate of data capture as a percentage of overall traffic in the case of high volume real-time predictions, and the data is stored in your own Amazon S3 bucket. You can also encrypt this data, configure fine-grained security, define data retention policies, and implement access control mechanisms for secure access. Amazon SageMaker Model Monitor offers built-in analysis in the form of statistical rules, to detect drifts in data and model quality. You can also write custom rules and specify thresholds for each rule.
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Gemini Enterprise Agent Platform Notebooks provide a unified environment for data science workflows, combining the flexibility of Colab Enterprise with the power of Agent Platform Workbench. These notebooks enable users to explore data, build models, and deploy solutions without switching between multiple tools. With seamless integration into Google Cloud services like BigQuery and Apache Spark, users can analyze large datasets directly within the notebook interface. The platform supports rapid prototyping and model development by offering scalable compute resources and AI-powered coding assistance. It allows teams to move from experimentation to production efficiently using end-to-end workflows. Fully managed infrastructure ensures scalability, cost optimization, and minimal operational overhead. Enterprise-grade security features such as single sign-on and access controls provide a safe environment for development.Starting Price: $10 per GB
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Simcenter 3D
Siemens
Address complex engineering challenges by enhancing simulation efficiency. Simcenter 3D is one of the most comprehensive, fully-integrated CAE solutions. Simcenter 3D helps you model and evaluate complex product performance through revolutionary improvements in simulation efficiency. By integrating multiple physics domains together from a single simulation modeling environment, you gain better insight into your product’s performance faster. Simcenter 3D is an integrated environment in which you perform all of your CAE pre- and post-processing. Unrivaled geometry manipulation tools help you intuitively defeature and abstract computer-aided design (CAD) geometry from any source. Comprehensive meshing and modeling tools support multiple simulation applications and give you the unique capability to associate your analysis model with design data. This helps you speed up the tedious modeling process and keep analysis models in sync with the latest design. -
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Superb AI
Superb AI
Superb AI provides a new generation machine learning data platform to AI teams so that they can build better AI in less time. The Superb AI Suite is an enterprise SaaS platform built to help ML engineers, product teams, researchers and data annotators create efficient training data workflows, saving time and money. Majority of ML teams spend more than 50% of their time managing training datasets Superb AI can help. On average, our customers have reduced the time it takes to start training models by 80%. Fully managed workforce, powerful labeling tools, training data quality control, pre-trained model predictions, advanced auto-labeling, filter and search your datasets, data source integration, robust developer tools, ML workflow integrations, and much more. Training data management just got easier with Superb AI. Superb AI offers enterprise-level features for every layer in an ML organization. -
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Ansys BladeModeler
ANSYS
Ansys BladeModeler software is a specialized, easy-to-use tool for the rapid 3D design of rotating machinery components. Ansys BladeModeler is used to design axial, mixed-flow and radial blade components in applications such as pumps, compressors, fans, blowers, turbines, expanders, turbochargers, inducers and more. Ansys BladeModeler is integrated with Ansys DesignModeler to deliver complete 3D geometry modeling capabilities and allow any number of geometric features, such as hub metal, blade fillets, and cut-offs and trims to be added. Blade designs can be combined with other non-bladed components, like housings, blade roots or complex 3D tip regions. These non-bladed components can be created directly or imported using CAD connections to all major CAD vendors without limits on the designs that can assembled and assessed. You can choose the level of geometric detail for your analysis.
