MV Risk Modeling Solutions is the U.S. division of the MV Group, a South American leader in cargo loss prevention that is recognized for its excellence in software technology, risk prevention, assistance in operations, portfolio analysis, and risk consulting. The MV group provide solutions that cover the security of the entire logistic chain.
The MV group counts with a team of over 120 employees, operations in five countries, and offices in Brazil, Argentina, and USA. Our solutions have been applied and proved to be effective in some of the most critical risk environments of the continent for over a decade, especially in Brazil, Argentina, and Mexico; and for companies from different industries such as manufacturers, logistics operators, port terminals, cargo carriers, insurers, and insurance brokers.
Company Details
- Employees
- 2
- Founded
- -
- Address
- 1601 Vine St,
- Industry
- Business Consulting And Services
- NAICS
-
Management, Scientific, and Technical Consulting ServicesManagement Consulting ServicesOther Scientific and Technical Consulting ServicesOther Management Consulting Services
- Website
- mvriskmodeling.com
- Keywords
- Risk Management, Consulting, Software Developers, Insurance, Project Risk Management, Cargo Transportation, Logistics, Loss Prevention.
- HQ
- Los Angeles, Califórnia
Mv Risk Modeling Solutions Questions
Mv Risk Modeling Solutions's website is mvriskmodeling.com
Mv Risk Modeling Solutions's LinkedIn profile is https://www.linkedin.com/company/mv-rms
Mv Risk Modeling Solutions has
2 employees.
View email and phone details for 2
employees at Mv Risk Modeling Solutions.
Mv Risk Modeling Solutions's industry is
Business Consulting and Services
Mv Risk Modeling Solutions's top competitors are
Solist Corretora,
Risk Veritas,
Zeron,
Brazil California Chamber Of Commerce,
Safer Analytics Ltd.,
Cstm,
List Funding,
We Do Content,
Magal,
M.terram Corretora De Seguros.
Mv Risk Modeling Solutions's categories are Business Consulting and Services
Mv Risk Modeling Solutions's founding year is 2017
