AI at Altair
Altair is the only company where rocket science meets data science. We pioneered the convergence of simulation, artificial intelligence (AI), and high-performance computing (HPC) and continue to accelerate product innovation with AI-powered engineering, improve business outcomes with the industry's leading enterprise data analytics and AI platform, and democratize access to HPC to augment AI technology.
Unleash the power of AI across every step of your digital transformation journey. See what AI trends you need to know here.
AI-Powered Engineering
Drive digital engineering and business forward with embedded AI in design and simulation
By seamlessly embedding AI into design and simulation solutions, augmenting collaboration between humans and AI, and providing enablement tools to build and deploy bespoke AI models using simulation engineering data, Altair® HyperWorks® empowers teams to explore the boundaries of design, development, analysis, and operational efficiency.
AI Enablement for the Modern Enterprise
Improve business outcomes with end-to-end, frictionless AI
From data prep and cleaning to processing with advanced machine learning algorithms to visualizing the results, the Altair® RapidMiner® platform enables organizations to develop and operationalize AI applications and services at scale. Full manual or push-button automatic and everything in between, Altair RapidMiner is the most comprehensive data analytics toolkit on the market.
Accelerate Results with High‐Performance Computing
Augment AI-powered innovation with a powerful HPC backbone
Altair® HPCWorks® makes HPC fast, efficient, and productive — whether your resources are on-premises, in the cloud, or a hybrid mix. GPU acceleration and rapid scaling enable the latest AI workloads with flexible, scalable scheduling and workflow design. Align work with your business priorities using features including cost controls, failure mitigation, and remote visualization.
Generative AI
It’s no secret that the market’s biggest AI trend is generative AI. Proven technology meets unprecedented business results with Altair’s generative AI solutions. Altair RapidMiner’s generative AI tool puts access to hundreds of thousands of large language models (LLMs) at users’ fingertips with a customizable extension that’s secure, cost-effective, and easy-to-use.
AI-powered engineering solutions bring generative AI to drastically accelerate product development. Create high-potential designs earlier in development cycles, augment product development practices, and multiply the productivity of engineering teams. Explore an exponentially broader range of customer-pleasing, high-performing, manufacturable product designs.
Python APIs
Streamline processes, customize experiences, and automate your routine using Altair's solutions, enhanced by its Python API. Merge engineering workflows to experience a frictionless transition between software tools, tailor our solutions to fit your unique workflows, and convert routine, manual tasks into automated scripts. This integration not only increases efficiency and productivity but also enables users to harness Python's extensive libraries for extending software capabilities, ensuring a flexible, future-proof platform for enterprises, teams, and individuals.
Altair One®
Altair One is a revolutionary cloud innovation gateway for collaborative engineering, data engineering, and analytical application development. Built on a robust HPC backbone and decades of simulation, HPC, and AI advancement, Altair One provides seamless access to your tools, data, and computing resources – all while unleashing the power of AI across every step of the product development lifecycle.
Ethical AI
Altair’s mission is to leverage computational intelligence to transform innovation for a safer, more connected, and more sustainable future. That includes the ethical use and creation of AI technology. From making unprecedented achievements in lightweighting and sustainability thanks to AI-powered engineering, to fueling AI efficiently via green computing with our HPC workload management technology, and more, Altair augments the human-AI relationship for positive change.
Featured Resources
Creating Tomorrow Panel: Innovating with AI-Powered Engineering
Panel discussion presented as part of Altair's Future.Industry 2024 conference.
Panelists:
Dr. Fatma Kocer | VP Engineering Data Science, Altair
Martin Ortega Breña | Design Manager, Mabe
Carlos Lopes | Director of Advanced Engineering - Americas, Maxion Wheels
Dr. Donald Harby | Data Science and Machine Learning Engineer (Data Scientist), John Deere
Carsten Buchholz | Project Engineer - Hybrid Electric Flight Demonstrator, Rolls Royce
Engineering processes are fast evolving to a new paradigm of hybrid physics and data-driven modeling. Despite the focus on algorithm development for data science, the real challenge in this evolution is identifying value-added use cases and collecting the necessary data. This panel comprises four domain experts who have successfully worked through this challenge in their respective industries. We will ask what value they have identified for data-driven engineering, how they proceeded with their projects, how successes are measured, and how they envision the future of engineering data science. We also have an opportunity to get feedback on what they found helpful from Altair's offerings and collect their thoughts to shape our products.
Digital Twins for Product Development and Operations
This webinar series addresses the needs and challenges of engineering leaders in product development, manufacturing, and operations. It will provide value to teams focusing on system digitization for durability & structural-health evaluation (OEMs and sup
Advance Asset Maintenance Strategies with Predictive Analytics
Predictive maintenance provides a proactive solution to monitor equipment health and predict failures. It enables organizations to avoid machine failures and unplanned downtime, increase equipment and production line productivity, reduce maintenance costs (including hard component replacement costs and associated personnel time), and improve output quality.
