The infrastructure gap in organizational governance.
Every organization runs on decisions. But the context that makes those decisions accountable — the reasoning, the constraints, the commitments, the history — dissipates the moment a decision is made. At human speed, that’s recoverable. At machine speed, it’s existential. GrytLabs is a research institute building the infrastructure to close that gap.
What is a world model?
A world model is a structured representation of how an organization actually works. Formally, it is the composition of three models: a data model (what information exists and how it relates), a computational model (how that information changes under decisions and events), and a conceptual model (why the structure matters and what it means). These ten governed records — purpose, entities, distinctions, relations, time, transition logic, constraints, observation, uncertainty, and memory — compose into a single coherent substrate. When an organization has a world model, every decision it makes carries the full context of every decision that came before it. That is what makes governance possible at machine speed.
The field uses “model” to mean at least six distinct things — world model, dynamics model, neural network model, mental model, reward model, causal model. A seventh — the governance model — is missing from the discourse entirely. These decompose into three categories:
Without the governance layer, these are three disconnected model types. With it, they compose into a world model.
The two boundaries are nearly aligned because governance is not a separate component — it is the binding force that gives the composition its identity.
The research path
GrytLabs research follows a five-stage pathway: theory → architecture → experiment → implement → contribute. Most research remains in the theory–architecture range. Implementation occurs only through dogfooding. Contribution is continuous through publication and open-source release.
Theory
The reconstruction problem. Twenty-two research sprints across fifteen academic traditions. Five-way convergence. The finding that governance-grade world models cannot be learned from data — they must be architecturally given.
Architecture
The Decision Lineage Protocol. Nineteen primitives, ten behavioral invariants, a truth type system. The formal grammar of organizational governance. Published, open, available for anyone to build on.
Experiment
Three implementations, each proving the protocol works in a different domain. These are research experiments with product surfaces — tangible evidence, not the point.
Implement
Dogfooding only. GrytLabs uses its own protocol to govern itself. The world model index, the governed records, the research agenda — all built on DLP.
Contribute
Publication, open-source release, foundation governance. The protocol is open. The research atlas is public. The specification is available for anyone to build on.
About
The equity gap in organizational infrastructure is structural. The tools, frameworks, and institutional knowledge that large organizations take for granted — governance structures, decision accountability, operational coherence — are inaccessible to the founders, small businesses, and independent operators who need them most. This is not a market failure. It is an infrastructure problem.
$42.45B
appropriated for broadband infrastructure (BEAD program). As of August 2025, zero dollars deployed.
Source: Congress.gov
1 in 7.5
U.S. households lack a large-screen computer — 18 million households, 33 million people.
Source: Benton Institute / Digitunity (2024)
84%
of small businesses cannot keep pace with the technology budgets of larger organizations. 42% lack access to resources and expertise to deploy AI.
Sources: Startups Magazine; Goldman Sachs / Old National Bank
GrytLabs was founded to close that gap through research. The investigation spanned twenty-two research sprints across fifteen academic traditions and produced one clear finding: six independent fields had all converged on the same structural wall. The context that makes governance possible — the decision history, the reasoning, the constraints, the commitments — dissipates the moment a decision is made. This is the reconstruction problem. At human speed, it is recoverable through retrospective audit. At machine speed — AI agents making consequential decisions autonomously — it is existential.
The Decision Lineage Protocol (DLP) emerged from that five-way convergence. It is the formal grammar of organizational governance: nineteen primitives, ten behavioral invariants, a truth type system that distinguishes what is known from what is declared from what is derived. The protocol is open, published, and available for anyone to build on. A utility patent (pending) protects the novel architectural claims while ensuring the protocol remains open infrastructure.
Read the research at research.grytlabs.ai. Read the specification at decisionlineageprotocol.io.