List of FLOW-3D Customers
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Since 2010, our global team of researchers has been studying FLOW-3D 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 FLOW-3D for Computational Fluid Dynamics (CFD) 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 FLOW-3D for Computational Fluid Dynamics (CFD) include: General Motors, a United States based Automotive organisation with 162000 employees and revenues of $187.44 billion, Tesla, a United States based Automotive organisation with 125665 employees and revenues of $97.69 billion, Boeing, a United States based Aerospace and Defense organisation with 172000 employees and revenues of $66.52 billion, ATB Riva Calzoni, a Italy based Manufacturing organisation with 246 employees and revenues of $121.0 million and many others.
Contact us if you need a completed and verified list of companies using FLOW-3D, 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 FLOW-3D 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!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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ATB Riva Calzoni | Manufacturing | 246 | $121M | Italy | Flow Science | FLOW-3D | Computational Fluid Dynamics (CFD) | 2017 | n/a |
In 2017, ATB Riva Calzoni collaborated with the Hydraulic Construction Laboratory at the Polytechnic of Bari to apply FLOW-3D as part of an engineering research program. The engagement used FLOW-3D within the Computational Fluid Dynamics (CFD) category to study the behavior of flat gates serving bottom drains under variable operating conditions and across different geometries.
FLOW-3D was operated as a laboratory simulation tool to reproduce transient free-surface and internal flow phenomena relevant to gate hydraulics, supporting geometry parameterization and scenario-based analysis. Deployment was centered on lab workstations in the Hydraulic Construction Laboratory, and the work supported ATB Riva Calzoni engineering and R&D functions through an academic-industrial collaboration that integrated simulation into experimental test work for gate design and validation.
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Boeing | Aerospace and Defense | 172000 | $66.5B | United States | Flow Science | FLOW-3D | Computational Fluid Dynamics (CFD) | 2018 | n/a |
In 2018, Boeing implemented FLOW-3D, deploying the FLOW-3D application for Computational Fluid Dynamics (CFD) to support engineering simulation across design and process analysis activities. The FLOW-3D application is used for fluid-flow simulation by Boeing's CFD and design engineering groups in the United States, focused on component-level design validation and process modeling.
The implementation emphasized core Computational Fluid Dynamics (CFD) capabilities, including transient and steady-state flow solvers, free-surface and multiphase modeling, turbulence modeling, thermal-fluid coupling, meshing workflows, and visualization and post-processing for engineering review. Configuration work included creation of parameterized model setups, standardized case templates, and scripted batch execution to enable repeatable simulation studies and iterative design cycles. These functional modules supported aerodynamic, internal flow, and process-focused simulation use cases within engineering projects.
Operational deployment was scoped to Boeing engineering and CFD teams across U.S. design centers and process engineering groups, with compute execution aligned to typical CFD practice on engineering workstations and centralized compute clusters to manage batch and parametric runs. The FLOW-3D application was integrated into engineering simulation workflows and shared model repositories to support collaboration and reproducible analyses across programs.
Governance centered on a centralized simulation engineering organization that established simulation standards, validation protocols, model libraries, and template stewardship to ensure consistency of CFD practice across projects. Rollout activities focused on standardizing case templates and best-practice workflows to maintain repeatability and engineering traceability.
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General Motors | Automotive | 162000 | $187.4B | United States | Flow Science | FLOW-3D | Computational Fluid Dynamics (CFD) | 2020 | n/a |
In 2020 General Motors implemented FLOW-3D to support Computational Fluid Dynamics (CFD) workloads for automotive engineering and fluid process simulation. FLOW-3D is associated with modeling free-surface flows, casting process simulation and thermal-fluid interactions to inform powertrain and manufacturing engineering decisions. Deployment activity is reported in the United States and exact start and go-live timing were not publicly specified.
The implementation emphasized category-aligned CFD capabilities within the Computational Fluid Dynamics (CFD) domain, including high-resolution meshing, transient flow solvers, multiphysics coupling and post-processing for design validation and process simulation. Operational coverage centered on engineering, CAE and manufacturing process teams using FLOW-3D to support simulation-driven design reviews and casting optimization workflows. Governance and workflow adjustments focused on integrating simulation outputs into engineering validation cycles, with centralized model management and version control practices commonly applied to ensure repeatable results.
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Tesla | Automotive | 125665 | $97.7B | United States | Flow Science | FLOW-3D | Computational Fluid Dynamics (CFD) | 2019 | n/a |
In 2019, Tesla implemented FLOW-3D for Computational Fluid Dynamics (CFD) work. Tesla has publicly referenced using FLOW-3D for CFD-driven simulation work in manufacturing and product engineering, positioning the FLOW-3D application within engineering simulation and process validation activities. FLOW-3D provides solver, mesh handling, multiphase and free-surface flow modeling, and post-processing capabilities that align with common Computational Fluid Dynamics (CFD) functional terminology.
Deployment details and the exact module mix were not explicitly stated, and the implementation signal is centered on engineering and manufacturing workflows in the United States. The FLOW-3D application is described as supporting simulation-driven design iteration and validation across product engineering and manufacturing teams, with adoption and governance likely residing within engineering simulation groups. Specific rollout timelines, integrations, and governance structures were not disclosed.
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