List of Altair AI Hub Customers
Troy, 48083, MI,
United States
Since 2010, our global team of researchers has been studying Altair AI Hub customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Altair AI Hub for AI Frameworks and Libraries from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Altair AI Hub for AI Frameworks and Libraries include: Ford Motor Mexico, a Mexico based Automotive organisation with 8800 employees and revenues of $8.26 billion, Mabe, a Mexico based Manufacturing organisation with 20000 employees and revenues of $4.00 billion, American Magic, a United States based Leisure and Hospitality organisation with 120 employees and revenues of $30.0 million and many others.
Contact us if you need a completed and verified list of companies using Altair AI Hub, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Altair AI Hub customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
Apply Filters For Customers
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight | Insight Source |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
 |
American Magic | Leisure and Hospitality | 120 | $30M | United States | Altair Engineering | Altair AI Hub | AI Frameworks and Libraries | 2023 | n/a | In 2023 American Magic implemented Altair AI Hub to operationalize machine learning workflows that supported yacht performance engineering for its America’s Cup program. Apps Category . The implementation built on model development work executed with Altair RapidMiner Knowledge Studio and Altair HyperStudy, using sensor telemetry and simulation outputs to reduce input variables and produce predictive models for vessel setup. Functional capabilities concentrated on data preparation, feature reduction, supervised model training, and simulation-driven parameter exploration consistent with engineering performance optimization workflows. Altair AI Hub was used to centralize model lifecycle activities inferred from the Altair platform footprint, providing a model registry and delivery layer for models born in RapidMiner and HyperStudy. Operational scope targeted engineering and performance teams during the Americas and Europe campaign, with deployment patterns focused on serving setup guidance to vessel engineering processes and integrating predictive outputs into configuration workflows. Governance and rollout emphasized reproducible model validation and controlled promotion of models into test and operational channels, aligning predictive model artifacts with established vessel setup procedures. The project explicitly achieved reduced input dimensionality and generation of predictive vessel setup models for the American Magic engineering organization. | |
 |
Ford Motor Mexico | Automotive | 8800 | $8.3B | Mexico | Altair Engineering | Altair AI Hub | AI Frameworks and Libraries | 2019 | n/a | In 2019 Ford Motor Mexico operationalized predictive stamping models using Altair AI Hub, applying models developed with Altair Knowledge Studio to stamping process selection. The deployment focused on manufacturing and process engineering in Mexico, with Altair AI Hub serving as the operational platform for model lifecycle management and inference in production stamping workflows. The implementation centered on predictive modeling and model operationalization capabilities, including model repository and version control, automated scoring pipelines, and model serving for real time decisioning of stamping process selection. Configuration work included mapping Knowledge Studio predictive outputs to decision rules used by process engineers, and establishing automated model scoring that could be invoked during process setup and planning. Integrations were implemented to connect the model serving layer to stamping process selection workflows and to process engineering workstreams, enabling model outputs to feed operator guidance and process parameter recommendations. Operational scope covered manufacturing operations and process engineering teams across Ford Motor Mexico stamping sites, with deployment targeted at lines where stamping process selection decisions were previously manual. Governance and rollout included model validation and versioning controls, staged deployment from pilot lines to broader stamping operations, and handover procedures for process engineering to manage model inputs and periodic retraining. Outcomes reported from the implementation include raised process throughput, higher first time right rates, and a dramatic reduction in manual trial and error when selecting stamping processes, reflecting the combined use of Altair Knowledge Studio models and Altair AI Hub for production operationalization. | |
 |
Mabe | Manufacturing | 20000 | $4.0B | Mexico | Altair Engineering | Altair AI Hub | AI Frameworks and Libraries | 2024 | n/a | In 2024, Mabe implemented Altair AI Hub, Apps Category , to operationalize AI-driven IoT optimization for product engineering across its Mexico operations. The project used Altair AI Studio to develop an AI workflow that predicts consumer behavior from appliance telemetry, and Altair AI Hub to deploy and manage the workflow and models. The implementation built predictive models that tune refrigerator compressor and fan operation to balance energy use and product freshness, models that execute on telemetry streams from connected appliances. Functionally the deployment encompassed model training and inference pipelines in Altair AI Studio, with model deployment, orchestration, and runtime inference handled through Altair AI Hub, aligning with standard MLOps lifecycle capabilities. Operational scope targeted product engineering and IoT-connected appliance optimization in Mexico, with model outputs integrated into device control parameter tuning to adjust compressor and fan behavior. Governance and rollout were a collaborative effort between Altair and Mabe, focusing on published predictive models in Altair AI Hub and ongoing model updates to refine device behavior based on field telemetry. |
Buyer Intent: Companies Evaluating Altair AI Hub
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
|---|---|---|---|---|---|---|---|---|
| No data found | ||||||||