Why we built the Enterprise OS Cloud

(Contributed by Tricia Martinez, Founder & CEO)

Two years ago I kept hearing the same story. The companies with the most to gain from AI in production could not get the compute to run it. Not because the chips did not exist. Because the way compute was sold did not fit the way regulated enterprises and fast-scaling digital natives actually work.

Public cloud was built for elasticity and shared tenancy. That is the wrong shape for a bank, an insurer, a government agency or any business that cannot put its most sensitive workloads on infrastructure it shares with strangers. These are businesses that cannot afford to take on that type of architectural risk to access the future. The alternative was to build a private data center. That takes years and hundreds of millions in capital. By the time it is live the model you wanted to train has already moved on.

So the businesses that needed production AI most were stuck between a public cloud that could not isolate them and a private build that could not move fast enough. That gap is where the category lives.

The Enterprise OS Cloud is the resolution. Single-tenant by architecture. In-country by physical boundary. A software-defined platform that gives a customer dedicated compute with deterministic throughput. No noisy neighbors. No spot evictions. The performance and isolation of a private data center with the speed and economics of cloud.

We did not start with a thesis and go looking for customers. We built the platform, put it into production and let demand tell us whether the category was real. It was.

In our first five months of operation we generated over $100M in contracted value. I am happy to announce today that we have closed a $30M seed to take that growth to the next level. The capital followed the proof, not the other way around.

What this round really proves is that the demand was already there. The seed did not invent the category. Jim Pallotta and the team at Raptor Group, with our partners at Ion Pacific, came in to back what we built. The seed is fuel for something that already works.

We are early. The category is named, live and funded. The hard part starts now. Building the Enterprise OS Cloud into the default way regulated enterprises and digital natives run AI in production. That is the work.

I am glad to have the customers and the partners who decided not to wait for it.