ZOA Industries builds structural diagnostics for systems that learn — language models, markets, and other adaptive systems. We test where they break in ways ordinary checks miss.
Empirical in language models and markets. Theoretical elsewhere. Labeled accordingly.
Two domains where we've published or filed measurable results. Anything beyond these is theoretical and labeled below.
Language models break in structured, predictable ways when pushed against their training boundaries. We map those failure regimes — boundary-conditioned, not random. Observation-only; not a leaderboard, not a prediction tool.
Markets misread their own state in typed, observable ways. We measure boundary quality, corridor states, and reentry signatures — typed observations, not predictions, not signals, not investment advice.
Maturity labels are domain-status labels, not performance guarantees.
Domains where the constraint-physics framework predicts measurable structure but where ZOA has not yet published or tested. Listed for transparency.
Coherence signatures in qubit state transitions. Framework predicts structure here; ZOA has not yet tested this domain.
Phase relationships in neural and biological signal flow. Framework predicts structure here; ZOA has not yet tested this domain.
Photonic phase coherence in optical systems. Framework predicts structure here; ZOA has not yet tested this domain.
Kinematic coherence in multi-sensor fusion. Framework predicts structure here; ZOA has not yet tested this domain.
Some observer work exists; no published empirical anchor yet. Framework adjacent; posture-only.
The lens that informs the empirical work above.
Measuring structural alignment boundaries and phase state changes across system topologies.
The framework scales linearly from sub-atomic particle interaction to planetary system dynamics without loss of fidelity.
Continuous measurement of system structural alignment states and boundary conditions.
Empirical research on post-training and interface effects in open-weight language models.
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