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GREAT
MACHINE UNITED

The world’s ultimate mega-conglomerate,
unifying every sector for the good of humankind.

VISION 64

GREAT MACHINE
UNITED

The world’s ultimate mega-conglomerate,
unifying every sector for the good of humankind.

OUR PROPHECY: A BETTER
FUTURE FOR HUMANITY

Founded on the 1st of January, 2025, the Great Machine United is the world’s largest company with the deepest access to the world’s natural resources and biggest manufacturing and development infrastructure for robotics and technology. 

Our vision is a prophecy of a future where each human being regardless of race, class, or gender can claim their rightful place as kings of the world they live in through the use of robots, AI, and other technological advancements.

GMU Fields of Impact

Today’s thought, tomorrow’s canvas

Media & Data

Connecting worlds, building foundations

Infrastructure & Logistics

Saving the world’s resources to build tomorrow’s dream

Resources

Redemption through Technosis

Technology

Shifting to Financial Prosperity

Financial Solutions

Exploring Creation. Empowering Longevity

Health Biotechnology

Providing Tomorrow’s Security

Defence Security

Bringing the Future Home

Consumer Services

Engineering Equity, Empowering Humanity

Social Impact

Our contribution

Direct jobs

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Clients

+ 0 k

Press Release

A resource-backed, AI-managed currency for predictable value and global liquidity

The world’s money systems face three linked problems. First, fiat currencies often suffer sudden purchasing-power swings driven by politics, energy...

How United Vitalis and Gabriel AI deliver modular hospitals, resilient supply chains and sovereign care at scale

Access to timely, high-quality healthcare remains uneven worldwide. Remote regions lack operating theatres, fragile supply chains break vaccine cold chains,...

Where care meets cognition: how GMU’s United Vitalis builds autonomous medical systems with Gabriel AI 

Healthcare today fails at two linked problems. First, systems diagnose and treat too late. Second, access remains uneven—especially in remote...