Ulam 2.0: Evolution of Our Mission

Since our founding, ULAM has been on a journey to understand and contribute to the development of artificial general intelligence. We started with our DeepAlgebra project, treating mathematics as a test case for machine reasoning. We consulted with businesses across finance, telecom, and industry, applying our research to real-world problems.

But as we've watched the AI landscape evolve—from narrow models to increasingly capable systems, from research labs to production deployments—we've realized that the path to AGI requires more than research papers and consulting engagements. It requires capital, conviction, and a willingness to bet on the infrastructure that will enable the agentic future.

That's why we're evolving. ULAM 2.0 is about putting our own capital behind the technologies and companies we believe will shape the next decade of AI development.

Our investment strategy is anchored in four core beliefs about how AGI will emerge and what infrastructure it requires. These aren't abstract predictions—they're actionable theses that guide where we allocate capital.

1. AGI through Swarm Intelligence

We believe AGI will arrive not as a single monolithic model, but as a coordinated ecosystem of specialized agents. This isn't just a research direction—it's an investment opportunity. We're looking at companies building orchestration frameworks, agent coordination protocols, verification systems, and the tooling that makes swarms practical and governable.

The winners won't be those with the largest models, but those who can compose models effectively, route tasks intelligently, and verify outputs reliably. We invest in the infrastructure layer that makes this possible: the middleware, the observability tools, the policy engines, and the marketplaces where agents discover and contract with each other.

2. Rare & Precious Metals as Strategic Inputs

The hardware that powers AI and robotics depends on a narrow set of critical materials. Rare earths for motors, gallium for power electronics, tantalum and hafnium for semiconductors, silver and gold for reliable connections—these materials are bottlenecks, not commodities.

We're investing in companies that secure these supply chains: mining operations with efficient extraction, processing facilities with refining capacity, recycling technologies that recover value from e-waste, and manufacturers who design with materials economics in mind. As AI deployment scales from millions of GPUs to billions of robots, materials become strategic leverage.

3. Nuclear Power for Firm, Scalable Energy

Compute-intensive AI and electrified robotics require firm, predictable power. Nuclear—especially small modular reactors—offers the only scalable path to low-carbon baseload that can co-locate with data centers and industrial sites.

We're tracking startups building standardized reactor designs, companies securing uranium supply agreements, and operators deploying power-as-a-service models. Energy is no longer a utility cost; it's a competitive moat. Companies that lock in nuclear capacity early will control their destiny in the 2030s.

4. Digital Money for the Agentic Economy

When AI agents plan, procure, and operate autonomously, they need money that's machine-readable, programmable, and always available. Stablecoins, smart contracts, and API-first payment rails turn finance from a human bottleneck into an automated capability.

We're investing in infrastructure that makes this real: wallet-as-a-service platforms, programmable custody solutions, real-time settlement networks, and compliance-as-code tools. The economic activity of the future will be measured in transactions per second handled by agents, not humans clicking "approve."

We're activist investors. This isn't passive capital deployment. We're investing our own money in companies and technologies aligned with our beliefs, and we get involved. We help portfolio companies navigate technical constraints, refine their strategy, build partnerships, and scale operations. Our edge is technical depth—we understand the problems intimately because we've researched them for years.

We're building in public. Our main beliefs aren't marketing—they're our actual investment framework. We'll share what we learn, which theses work, which fail, and how the landscape evolves. Transparency builds trust and attracts partners who think the same way.

We're staying technical. Our edge comes from understanding the deep constraints: What does swarm coordination actually require? Which materials are truly irreplaceable? How do reactor economics change with standardization? What primitives do agents need to transact safely? Investment decisions follow technical insight, not hype cycles.

We're patient. Infrastructure takes time. Small reactors won't deploy overnight. Rare metal supply chains take years to derisk. Agent economies need standards, tooling, and trust. We're building for the 2030s, not the next funding round.

The shift from research to investment doesn't mean we're abandoning our technical roots. Our DeepAlgebra project continues. Our understanding of machine reasoning deepens. But now, we're also asking: What companies are solving the hard, unglamorous problems that make AGI infrastructure real?

We're looking for founders who understand that the agentic future is as much an operations problem as a research problem. Teams who treat materials economics, energy reliability, swarm governance, and programmable finance as first-class constraints, not afterthoughts.

If you're building in one of these areas—agent orchestration, critical materials supply, nuclear deployment, or programmable finance—and you think like we do, we'd like to hear from you. ULAM 2.0 is about finding and funding the infrastructure that others overlook but which the AGI economy can't exist without.

The future is agentic. The question is: who builds the rails it runs on?

While our primary focus is activist investing, we recognize that not every engagement requires equity. Companies navigating AI strategy, evaluating technical roadmaps, or building in our focus areas can benefit from our technical depth without a formal investment relationship.

We offer strategic advisory services for companies that:

• Need to evaluate AI/AGI strategies and separate signal from noise
• Are building agent-based systems and need guidance on orchestration, verification, or governance
• Face materials procurement challenges in robotics, semiconductors, or energy hardware
• Are deploying compute infrastructure and need to think strategically about energy partnerships
• Want to integrate programmable finance and digital payment rails into their products

Our advisory work is hands-on and technical. We don't write slide decks—we help you solve actual problems: Which suppliers can deliver rare earth magnets at scale? How do you design agent verification without killing throughput? What does a realistic timeline for small reactor deployment look like? How do you structure custody for agents managing treasury?

If you're a company that values technical rigor over buzzwords, and you're working on problems adjacent to our investment thesis, let's talk. Sometimes the right relationship is an investment. Sometimes it's strategic advice. Either way, we bring the same depth.