Our Manifesto

Every major shift in human civilization is defined by how we scale a single constraint.

During the first Industrial Revolution, Cornelius Vanderbilt and John D. Rockefeller scaled the constraint of distance. They laid steel rails and ran pipelines to transport coal, gold, and oil across a massive continent, building the physical infrastructure that allowed a young nation to centralize its raw resources.

A century later, during World War II, Henry Kaiser and America’s industrial titans scaled the constraint of manufacturing throughput. When the global order was threatened, U.S. shipyards out-produced the entire world. Domestic facilities were manufacturing fifteen Liberty ships for every ten vessels lost at sea. It was not a victory won by specialized crafting; it was won by the sheer velocity of standardized mass production. This legacy industrial backbone -the ability to move material and assemble components faster than anyone else - is what made America the economic engine of the modern era.

Today, we are entering a new industrial revolution. But the constraint is no longer physical distance or manufacturing throughput.

The constraint is information routing.

For the past six months, our team was in San Francisco, buried in the trenches of core AI research building a software infrastructure called Momo. We set out to solve one of the hardest problems in the new computing era: building a reliable, permanent memory system for AI agents.

To understand why this matters, we have to look past the technical buzzwords. Artificial Intelligence (AI) is essentially a digital brain. It can reason, process logic, and write text. An AI agent is like the body attached to that brain, acting as the mechanism that performs real-world tasks. For example, if you ask GPT or Claude to book a flight, the AI is the brain that understands your request. The agent is the tool that actually goes online, searches Delta airlines, and books the ticket for you.

However, these intelligent agents face one critical problem: they lack long-term memory.

An agent can handle individual tasks with great intelligence, but it forgets the background information almost instantly. It forgets past decisions, specific rules, and company preferences. To solve this, our team began building a centralized data system for companies. We designed a way to take massive amounts of scattered workplace data—like spreadsheets, design files, old contracts, and team messages—and combine them into a single, organized database. This gives the AI agent a permanent memory that it can check at any time to do its job correctly.

But as we refined this infrastructure in San Francisco, we kept looking back at the industrial landscape to see who was suffering the most from this exact technical limitation.

We realized that the consumer tech companies using software tools did not need this breakthrough the most. The legacy industries serving as the physical backbone of this country did.

The modern shipyard is the ultimate manifestation of this information crisis. Shipbuilders are paralyzed by a compounding deficit: a severe shortage of skilled personnel and decades of critical technical expertise completely trapped in disconnected silos. Valuable engineering logic, unwritten construction workarounds, and assembly data are scattered across legacy CAD formats, paper logs, and the minds of retiring veterans.

When a shipyard loses a veteran engineer, a piece of America’s industrial capacity walks out the door with them.

By applying our memory infrastructure directly to the waterfront, we can convert those fragmented files and unwritten worker insights into a permanent, digital repository of company knowledge. When you train advanced AI models on a yard’s proprietary 3D designs and historical contract histories, the technology does not just automate a blueprint, it acts as an on-demand digital mentor with human in the loop feedback. It instantly connects engineering logic directly to active bills of materials and supplier pipelines, allowing a lean workforce to manufacture complex, modular vessels in compressed timelines.

The next wave of industrialization is arriving. Just as Vanderbilt used rail to centralize physical commerce and Kaiser used mass production to scale global naval readiness, the modern era belongs to those who can centralize digital intelligence. We are here to bring the backbone of America up to date.