MR-CFD

MR-CFD

mr-cfd.com

machinery

Georgia, United States
11-50 employees

About MR-CFD

ansys, mechanical engineering, solidification, simulation, fluent, biomechanic, cfx, turbalence, cfd, heat transfer, reaction, renewable energy, combustion, aerodynamic, ventilation, industrial machinery manufacturing, porous media cfd, consulting, cfd consulting, services

Decision Makers at MR-CFD

1 contact

Reza Amini

CEO

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17 technologies detected · 1 decision maker · Emails available

Sales Outreach Angle

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MR-CFD's Position in the StackWho Database

  • MR-CFD is 1 of 10,129 machinery companies tracked in StackWho.
  • 10,036 machinery companies in our database have verified decision-maker emails (99% of the cohort).
  • 8,906 companies in Georgia are in the StackWho database.
  • 3,966 machinery companies are in the 11-50 employee range (same size as MR-CFD).

Technology detection from public web signals. Decision-maker contacts compiled from LinkedIn public profiles, company filings, and verified outbound testing. Methodology & sources · Updated August 2026.

Frequently Asked Questions

What technology does MR-CFD use?

MR-CFD uses Cloudflare DNS, ElasticEmail, Rackspace MailGun, CloudFlare Hosting, Google Tag Manager, DoubleClick Conversion, and 11 more technologies. This data is sourced from StackWho's technology detection engine.

How do I contact the decision makers at MR-CFD?

StackWho has verified email addresses for 1 decision maker at MR-CFD. Pro members can access direct emails for the CEO, CTO, VP of Engineering, and other key contacts. Use StackWho to reach MR-CFD directly for sales, recruiting, or partnerships.

What industry is MR-CFD in?

MR-CFD operates in the machinery industry, headquartered in Georgia, United States. StackWho tracks technology stacks and decision maker contacts for companies across all industries.

Can I export MR-CFD's contact data?

Yes. StackWho Pro members can export decision maker contact data for MR-CFD and similar companies to CSV. Use the export feature to build targeted prospect lists segmented by technology stack, industry, or location.