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ABOUT VMV

The VMV story

A consultancy specialising in applied-AI solutions for business.

years of experience
3+
official AI services
05
team members
20+
offices
02

VMV began with a question many businesses ask: what can AI actually do for our everyday work?

We answer it by consulting on and building AI solutions around each company's own data and processes. We never start from the technology, but from your problem: survey, design, test, then stay alongside until it truly runs.

From that same foundation, VMV extends into robotics and automation — bringing the same approach onto the production line.

THE TEAM

Trained at leading universities in Vietnam and abroad.

20 experienced experts — PhDs, master's graduates and engineers.

  • Nguyễn Đức TiếnPhDFounder
  • Vũ Minh VươngCEO / Co-Founder
  • Vang TrầnMasterCCO
  • Phan Võ Trọng TiểnTechnical / Co-Founder
  • Nguyễn Thành TàiCTO / Co-Founder
  • Dương Quang MinhTechnical / Co-Founder

The five founders below are part of VMV's team of more than 20 people.

See the founding team
years of experience
3+
official AI services
05
team members
20+
offices
02

WHAT WE DO

AI Solutions · Software · Robotics

  • AI Solutions

    Consulting, research, development, integration and handover of AI solutions built around a company's real data and processes.

  • Software Solutions

    Developing and integrating websites, applications and dashboards into a company's existing processes and infrastructure, handed over with the source code and the technical documentation.

  • Robotics

    Consulting, researching, developing, integrating and transferring robotics and automation solutions tailored to real business production processes.

HOW WE WORK

From requirement to operation.

  1. Survey the requirement

    Clarify the problem, the operating conditions, the technical constraints and the acceptance criteria before proposing anything.

  2. Design the solution

    Propose a technical approach with equipment, material and integration-scope choices, and state the trade-offs explicitly.

  3. Test and adjust

    Run trials under near-real conditions, measure the outcome, and adjust until the agreed criteria are met.

  4. Deploy and stay involved

    Hand over, train the operators, and keep supporting as the process or the requirement changes.