Mike Cray
Co-founder — Engineering & Instrumentation
GPU model-capture pipelines, reproducible content-addressed provenance, and fail-closed orchestration.
// AI INTERPRETABILITY & SAFETY RESEARCH
Making AI models
auditable.
We build measurement instruments that make the internals of large language models observable, calibrated, and tamper-evident — so you can tell when a model's safety behavior has been altered from a trusted reference.
Get in touch
PATENT PENDING · US #64/008,485
// WHAT WE DO
Measurement, not guesswork.
You can probe a model from the outside all day and still not know whether its internal safety routing has been quietly modified. 2KINGSDEV makes those internals measurable — capturing a model's behavioral-topology fingerprint, freezing a calibrated reference, and flagging divergence against a per-model statistical null.
- Calibrated Every verdict is scored against a per-model benign baseline, not a hardcoded threshold.
- Reproducible Pinned recipes, hash-chained provenance, owned-hardware capture.
- Bounded We report tamper-evidence — never the unfalsifiable claim that a model is "safe."
// PRODUCT — 01
CBTS
Calibrated Behavioral-Topology Scanner
A tamper-evidence instrument for model safety circuitry. CBTS compares a model against a frozen, owned-hardware reference and asks one disciplined question:
"Does this model's safety routing diverge from the trusted reference beyond benign variance?" → investigate.
DIVERGES
WITHIN_NULL
INSUFFICIENT_DATA
There is deliberately no “SAFE” verdict. WITHIN_NULL means
“not distinguishable from benign variance on the measured features” — never
a guarantee. That bound is what keeps the instrument audit-grade.
// RESEARCH — 02
SPECPIPE
Speculative Cognitive Architecture · patent-pending
A multi-stage cognitive pipeline that generates novel cross-domain hypotheses by architecturally isolating an LLM's associative generation from a trusted knowledge base, then gating the output through downstream verification. Validated direction: domain-agnostic discovery.
Covered by US provisional patent #64/008,485.
// TEAM
Chris Schmidt
Co-founder — Interpretability Research
Author of the behavioral-topology measurement methodology and core IP.
// CONTACT