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Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

List of Converge Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
Ford Motor Company Automotive 175000 $18.7B United States Convergent Science Converge Computational Fluid Dynamics (CFD) 2016 n/a
In 2016, Ford Motor Company deployed Converge for Computational Fluid Dynamics (CFD) within its United States engineering and product development organization to support the EcoBlue 2.0L diesel engine program. Engineering and product development R&D teams used Converge CFD to run high fidelity in cylinder simulations focused on combustion chamber shape, piston bowl geometry, and fuel injection parameter studies. The implementation emphasized simulation driven refinement of combustion chamber geometry and injection strategies, applying detailed in cylinder combustion and chemical kinetics models inferred from the case study to explore combustion phasing and emissions formation. Converge CFD was used to iterate design variants, calibrate piston bowl contours, and adjust fuel injection timing and parameters, aligning simulation workflows with powertrain development milestones. Operational scope remained inside Ford powertrain engineering R&D in the United States, embedding Converge CFD into existing simulation workflows and test planning for the EcoBlue 2.0L program. The deployment supported engineers conducting parametric sweeps and design iterations, enabling closer alignment between simulation outputs and physical test programs. Governance centered on modeling discipline and iterative review of in cylinder simulation results, accelerating high fidelity simulation throughput to target fuel economy and emissions improvements. The use of Converge CFD enabled Ford to exercise combustion and chemistry model configurations across engine development cycles, increasing design confidence for the EcoBlue 2.0L diesel engine.
General Motors Automotive 162000 $187.4B United States Convergent Science Converge Computational Fluid Dynamics (CFD) 2014 n/a
In 2014 General Motors implemented Converge in a collaborative R&D effort with Convergent Science and national laboratories under DOE ORNL high performance computing awards, using Converge for Computational Fluid Dynamics (CFD) to support predictive internal combustion engine simulations in the United States. The deployment was positioned as an R&D HPC initiative rather than a production business application, focused on engine design and emissions modeling workflows within GM research groups. The implementation used Converge for detailed in cylinder flow and combustion simulation, leveraging standard CFD capabilities such as transient mesh adaptation, multiphase spray modeling, turbulence closure models, and chemical kinetics integration as inferred from the project description. These functional capabilities supported high fidelity modeling of in cylinder phenomena and combustion chemistry in support of predictive engine simulation and emissions assessment. Operationally the project ran Converge on large scale high performance computing infrastructure coordinated with Oak Ridge National Laboratory and other national labs, enabling parallel multi node simulations under DOE award governance. The scope covered GM engine R&D teams in the United States collaborating with national labs to validate simulation configurations against experimental data and to scale simulation throughput for complex chemistry cases. Governance was structured around the DOE ORNL award framework, with multi institution coordination defining data exchange, simulation benchmarks, and modeling standards for chemistry and in cylinder modeling. The stated objective was to leverage CONVERGE CFD to improve engine efficiency and emissions modeling, and the effort emphasized HPC scaling and methodological standardization for engine simulation workflows.
Roush & Yates Racing Engines, LLC Automotive 180 $30M United States Convergent Science Converge Computational Fluid Dynamics (CFD) 2016 n/a
In 2016, Roush & Yates Racing Engines, LLC implemented Converge from Convergent Science to support engine development and race-performance simulation. Converge was applied as a Computational Fluid Dynamics (CFD) platform to model combustion, intake and exhaust flow behavior for engineering and R&D teams operating in the United States. The deployment centered on high-fidelity CFD workflows, using Converge to run transient combustion simulations, automated meshing and multi-physics coupling consistent with engine performance analysis. Configuration focused on parametric simulation setups and batch execution to accelerate iterative design cycles, enabling engineers to evaluate combustion timing, airflow and thermal management across engine configurations. The engagement was structured as a technical partnership with Convergent Science, embedding Converge into Roush & Yates Engines engineering processes and simulation governance. The partnership supported a rollout across the companys engineering and R&D groups and produced measurable on-track outcomes, including wins and poles, while enabling faster simulation-driven design cycles for race program development.
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Buyer Intent: Companies Evaluating Converge

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Converge. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Converge for Computational Fluid Dynamics (CFD) include:

  1. Beaury United States, a United States based Retail organization with 10 Employees
  2. Vanzetti Engineering Italy, a Italy based Manufacturing company with 80 Employees
  3. York (China) Commercial CoBeijing Branch, a China based Distribution organization with 500 Employees

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FAQ - APPS RUN THE WORLD Converge Coverage

Converge is a Computational Fluid Dynamics (CFD) solution from Convergent Science.

Companies worldwide use Converge, from small firms to large enterprises across 21+ industries.

Organizations such as General Motors, Ford Motor Company and Roush & Yates Racing Engines, LLC are recorded users of Converge for Computational Fluid Dynamics (CFD).

Companies using Converge are most concentrated in Automotive, with adoption spanning over 21 industries.

Companies using Converge are most concentrated in United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Converge across Americas, EMEA, and APAC.

Companies using Converge range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 33.33%, large organizations with 1,001-10,000 employees - 0%, and global enterprises with 10,000+ employees - 66.67%.

Customers of Converge include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified Converge customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Computational Fluid Dynamics (CFD).