TROY, MI, Feb 20, 2025 – Altair has announced the release of Altair HyperWorks 2025, a design and simulation platform for solving complex engineering challenges. At the forefront of this release is a bold vision of the future of product development: a zero-prototype world, where design is perfected in the virtual domain before reaching the physical world. By combining the power of AI, high-performance computing (HPC), and multiphysics simulation with cloud-based scalability and digital thread connectivity, Altair HyperWorks 2025 is more than a simulation platform – it’s a launchpad for innovation.
“Altair HyperWorks 2025 builds on four decades of Altair’s expertise in simulation, design, and optimization,” said James R. Scapa, founder and chief executive officer, Altair. “By integrating advanced simulation technologies with AI and machine learning, automation, open architecture, and a connected digital thread, the platform accelerates design processes, fosters scalable cloud collaboration, and empowers teams to deliver smarter, faster, and more sustainable solutions. It is yet another leap in our vision of democratized computational intelligence.”
AI-Powered Engineering and Optimization
Altair continues to pull away from the competition with AI-powered engineering, machine learning, and optimization capabilities. Physics prediction models powered by new transformer architectures deliver accurate simulations, even with limited or incomplete data. Machine learning models act as solvers, slashing simulation times while improving reliability. AI-enabled reduced order modeling (ROM) enables faster, more precise simulations of nonlinear systems, providing insights early in the design process.
Cloud-Based and SaaS Solutions
Embracing the shift to cloud-based and SaaS solutions, Altair is democratizing access to advanced engineering simulations with open infrastructure. The new Altair DSim SaaS solution allows semiconductor designers to run unlimited simulations with a pay-as-you-go model, eliminating upfront costs and offering the freedom to scale on demand. The Altair One cloud innovation gateway enhances collaboration, providing instant access to simulation applications, data, and HPC resources.
Automation and Customization
New automation features, including Python APIs, eliminate repetitive tasks, simplify data queries, and streamline report creation. For large projects, enhanced batch execution and task libraries reduce the time needed for complex workflows. The platform’s customization options allow users to tailor simulations to unique applications, like modeling particle interactions in pharmaceuticals or agriculture.
Additional Highlights
Digital Engineering: A Connected Ecosystem
By connecting data, teams, and processes across the product life cycle, Altair delivers an integrated approach to design and simulation. Enhanced digital twin and thread technologies ensure seamless data flow and align virtual models with physical systems. To meet sustainability goals, private material databases provide a single source of truth for material decisions, including carbon dioxide (CO₂) impact analysis tools.
Solver Efficiency
Simplifying structural simulations, the “One Model, One Solver” approach of Altair OptiStruct enables smooth transitions between implicit and explicit analyses. By deploying Altair PhysicsAI models as solvers, users can replace traditional numerical solvers with AI-powered alternatives, accelerating simulations while maintaining accuracy.
Multiphysics Simulation for Electronics
Recent updates make it easier to manage thermal, electromagnetic, and power interactions in electronics design—improvements in ECAD meshing speed up cooling and durability analysis. Enhanced electromagnetic-thermal coupling leads to accurate performance predictions for systems. Updates in power electronics simulation optimize modeling for motor drives and converters, resulting in improved efficiency.
CAE as a Design Tool
Altair Inspire continues to make CAE essential by offering designer-friendly computational physics for structural, fluid, and motion analysis – alongside manufacturability and optimization workflows. Altair CoPilot Beta – an AI assistant embedded within Inspire – provides on-demand guidance, Q&A, and workflow support. At the same time, new tools like image planes for sketching and expanded implicit modeling streamline geometry creation and exploration.
Advanced Material Simulation
As material complexity, sustainability demands, and AI-powered workflows advance, Altair’s material solutions give users the tools they need to lead. With Altair’s material solutions, organizations can source, standardize, and simulate high-fidelity material data for advanced materials like composites, polymers, and additive manufacturing. Engineers can optimize designs, achieve sustainability goals with CO₂ analysis, and reduce physical testing costs by using AI to complete missing data.
Particle Simulation
Altair sets the industry standard for the discrete element method (DEM) by introducing new physics models. These include a Fibers Bonding Model, Liquid Bridge Model, and updated Linear Elastic Bond Model (LEBM) designed for polyhedral particles. These advancements improve workflows and provide accurate depictions of fibers and particles. They are applicable in fields like agriculture, battery technology, and pharmaceuticals.
Source: Altair
About Altair
Altair Engineering Inc., founded in 1985 and headquartered in Troy, MI, is a leader in computational science and AI. The company offers software and cloud solutions across various domains, including product development, high-performance computing (HPC), simulation, AI, and data analytics. Altair’s comprehensive, open-architecture platforms empower organizations to design more efficient and sustainable products and processes. Altair has established itself as a key player in engineering and enterprise analytics, serving automotive, aerospace, and manufacturing industries. In 2024, Siemens announced its agreement to acquire Altair for $10.6 billion, aiming to strengthen its position in industrial software.
