LFA Machines: Detailed Company Information & Corporate Profile
Contact top employees from
LFA Machines
Summary
The company currently specializes in the Machinery area. To connect with LFA Machines employee register on SignalHire.
| LFA Machines Website | lfamachines.com |
| Social Links |    |
| Phone Number | +44 1869 250234 |
| Industries | |
| LFA Machines Headquarters address | 6601 Will Rogers Blvd, Fort Worth, Texas, 76140 US |
| Employees Size | 10-50 employees |
| Specialties | tablets, tablet presses, pharmacy, pharmaceutical industry, supplements, Spanish, German, English, industry information, articles, repairs, customer support, tablet compression, encapsulation, punches and dies, compression tooling, capsules |
| Founded | 2009 |
Workforce Turnover
Corporate Tenure Analytics
LFA Machines Workforce Experience Insights
18% for 1–2 years18% for 3–4 years27% for 5–7 years18% for 8–10 years18% have over 11 years of service at LFA MachinesContact top employees from
LFA Machines
Eason Sun
Head Engineer
Oladeji
Field Service Technician
Andy WU
Asia sales representative
Diego Valadez
Account Executive
Konstantin Perevozchikov
Lead Fullstack Developer
Nick Wang
Nick
Shen Chi Becky Weng
Director of Asia Sales
Companies Similar to LFA Machines
LFA Machines Corporate Information: FAQ
LFA Machines operates in the Mechanical Engineering industries. More details can be found on the official website: lfamachines.com.
The headquarters of LFA Machines are located in Fort Worth, United States.
You can contact LFA Machines by phone at +44 1869 250234.
LFA Machines currently employs 10-50 people.
Data Privacy
GDPR COMPLIANT
SignalHire complies with the General Data Protection Regulation (GDPR). SignalHire follows GDPR requirements, including but not limited to rights of data subjects to access, correct, or delete their personal information and supports the right to be forgotten.
CCPA COMPLIANT
SignalHire is CCPA-compliant and provides California residents the right to know, access, opt out, and request deletion of their personal data.
