By learning from historical data, PhysicsAI rapidly delivers physics predictions up to 1,000x faster than traditional solvers. Operating beyond the constraints of parametric studies, it uses modern geometric deep learning to understand the performance-geometry relationship across any physics so teams can evaluate more concepts and reach smarter, more innovative designs faster.

A game-changing AI-powered technology, romAI accelerates reduced order modeling (ROM) and system identification from simulation and test data. This user-friendly, no-code solution integrates detailed 3D simulations into a computationally efficient 1D environment, ideal for system-level studies. Serving multiple functions, romAI enhances digital twin deployment, system identification, optimization, multidisciplinary analysis, real-time simulation accuracy, and compatibility with third-party software or hardware applications.

Offering a cutting-edge platform for AI-powered generative design and exploration, HyperWorks Design Explorer allows users to define, execute, post-process, and interpret multi-run simulations, including design of experiments (DOE), optimization, and more. It features advanced graphics-based tools for creating design variables, responses, and exploration goals, and includes integrated job submission and monitoring capabilities to efficiently track explorations in progress.

A multidisciplinary design study software designed for optimizing product performance, HyperStudy harnesses advanced optimization methods, predictive modeling, and data mining to efficiently explore any system model's design space. Intuitive workflows assist in understanding data trends, conducting trade-off studies, and enhancing design performance and reliability – all while accounting for multiphysics constraints.

Integrating data science, engineering simulation, and high-performance scalable computing, DesignAI offers browser-based access – no software download required. This solution allows you to unlock the value of simulation data and share insights across your organization thanks to simplified AI-product design workflows that facilitate synthetic and historical data collection. Enhanced with seamless HPC connections and automatic machine learning features, it streamlines the product development process.

Automatically recognizing patterns and shapes in CAE models, shapeAI extracts features from specified geometry without additional input or intervention. Enhanced by machine learning algorithms within the matching-tools option, this solution puts the power of geometric shape recognition at your fingertips.

Turning operational data for manufacturing into opportunities that enhance efficiency, sustainability, and market responsiveness, Altair RapidMiner bolsters productivity, performance, and product quality while minimizing waste, downtime, and costs. This data analytics and AI platform is designed for accessibility, with easy low-code or no-code workflows and self-service features that enable anyone to unlock the hidden value of data, turning novices into experts and experts into superstars.