Manifesto

Why Theorome

Most research institutions optimize for publication velocity. Most companies optimize for market capture. The space between rigorous theory and working systems remains largely unexplored. Theorome exists in this gap.

We believe that the most important problems require both deep theoretical understanding and the discipline of implementation. Theory without systems remains speculative. Systems without theory remain brittle. The future belongs to organizations that can do both.

We are building an AI-native research institute: one where computational tools are not add-ons but fundamental to how we think, explore, and validate. Our goal is not to publish papers or ship products in isolation, but to discover structures that generate both understanding and capability.

Explore, Formalize, Invent

Our work follows three phases, though they often overlap and iterate:

Explore

We begin with questions that matter. Not questions optimized for tractability or funding, but questions that point toward fundamental structures. We investigate territories at the boundaries of mathematics, physics, computation, and cognition. We use computational experiments, simulations, and AI-assisted reasoning to probe these spaces systematically.

Exploration is not wandering. It is structured search guided by intuition and validated by experiment.

Formalize

Insights must become theory. We translate observations into formal models, ensure logical consistency, and establish clear boundaries of applicability. Formalization forces precision. It reveals hidden assumptions and connects disparate phenomena through shared structure.

A formalized theory is not merely documented—it is executable, testable, and composable. We use type theory, category theory, and proof assistants not as academic exercises but as tools for building reliable conceptual foundations.

Invent

Theory must meet reality. We build prototypes, stress-test assumptions, and iterate toward systems that work. Implementation is not a downstream concern—it is a form of validation. A theory that cannot be built, or that produces brittle systems, is incomplete.

When a system reaches maturity, we spin it off as an independent venture. This maintains focus and ensures that successful systems can scale without distorting research incentives.

Research → Systems → Ventures

Our model is deliberate. Research generates insights. Systems validate and refine those insights. Ventures ensure that working systems reach the people and organizations that can benefit from them.

This is not a linear pipeline. Research informs systems, but systems also reveal new research questions. Ventures operate independently but remain connected to the theoretical foundations that enabled them. The flow is circular and mutually reinforcing.

We measure success not by paper count or revenue alone, but by the depth and durability of the structures we discover. A good theory should generate multiple systems. A good system should raise new theoretical questions.

Failure as Knowledge

Most research that fails is never published. Most failed startups vanish without trace. This is wasteful. Negative results contain information. Understanding why an approach doesn't work is often as valuable as finding one that does.

We document our failed attempts. We publish lab notes describing theories that collapsed under scrutiny, experiments that produced null results, and systems that proved unworkable. We do this not out of transparency theater, but because it saves time—ours and others'.

A well-documented failure is a contribution. It narrows the search space, clarifies boundary conditions, and often contains the seeds of future success.

Join Us

We are looking for researchers, engineers, and thinkers who care about building things that matter. If you value rigor, appreciate formalism, and believe that theory and practice should inform each other, we should talk.

Theorome is small by design. We work with people who can hold multiple disciplines in mind simultaneously, who write code and prove theorems, who build systems and question assumptions.

Reach out at contact@theorome.org.