Hyperscale Data Issues Strategic Statement by Its Executive Chairman on Omnipresent Robotics and U.S. Based Robotics Infrastructure and Embodied AI Development

Hyperscale Data, Inc., an artificial intelligence (“AI”) data center company anchored by Bitcoin (“Hyperscale Data” or the “Company”), released a statement issued by its Executive Chairman, Milton “Todd” Ault, III, on behalf of its wholly owned subsidiary Omnipresent Robotics, LLC (“Omnipresent”), outlining the Company’s long-term vision for the development, training, and deployment of embodied AI and humanoid robotic systems in the United States.

The statement reflects the Company’s perspective on the importance of maintaining domestic capability across robotics supply chains, training environments, and real-world deployment systems, particularly as global competition intensifies in AI and automation.

Omnipresent is currently advancing its robotics initiative, including planned deployment of humanoid robotic systems, development of real-world training environments, and integration with Hyperscale Data’s compute infrastructure to support embodied AI model development.

The following is the Executive Chairman’s full statement on Omnipresent:

“We have seen this movie before. America invents something big. Then the most important aspect is lost and recaptured elsewhere. The American factory is shut down. The supply chain disappears. The practical know-how goes with it. At Hyperscale Data, we are not interested in repeating that story with respect to robotics.

Embodied AI sounds abstract until a machine hits a real workplace. Then it becomes very concrete in short order. Floors are uneven. Lighting changes. People work around the robot instead of for the robot. A task that looked easy in a demo turns into twenty small failure modes by lunch. That part matters more than the keynote ever will.

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So that is where we put the company.

We hold the highest partner tier with AGIBOT PTE. LTD. (“AGIBOT”), a developer of intelligent robotics technology, and we are the first American company to reach it. AGIBOT is one of the leading humanoid platforms in the world, and that partnership gives us direct access to the hardware, supply chain and platforms that this market will be built on.

We are building in Michigan because Michigan still has industrial muscle memory. We are developing a campus where robots can be trained to perform real jobs, tested until the weak points show themselves, assembled here, and sent back into the field with software that actually fits the work. That will create engineers, technicians, operators, manufacturing jobs, and a place where people learn by doing instead of talking.

Some customers want the robot and the software development kit. Others want a model trained on our compute for their floor, their tools, and the way their team actually works. Some want the whole system deployed and supported. All of that is the same business to us, because each job enhances our ability to improve the next project and make it more productive.

The data matter too. We plan to sell embodied AI data, evaluation data, and scenario data to frontier labs. Better models are going to need contact with the physical world. A vision-language-action model cannot learn torque, friction, occlusion or recovery from a corpus of words and pictures. So we intend to collect the kind of data that comes from real work, real failures, and repeated attempts to get the machine to do the job right. Additionally, we intend to pursue every effort to ensure that all of that data never leave the U.S.

What we are building is a loop: Supply chain, computing, training, evaluation, assembly, deployment, data creation, then back into training again. Miss one part, and you end up dependent on somebody else for the part that decides whether the system actually works.