Decision infrastructure / applied intelligence

Pattern intelligence
for real-world decisions.

Kingan Logic builds systems that detect meaningful patterns in messy real-world signals while preserving the evidence, state and authority required to act on them responsibly.

01 / THE THESIS

Most systems are built to produce an answer.

We are interested in what happens before the answer is allowed to matter: what was actually observed, what is supported, what remains uncertain, what must survive, what is authorized, and what movement is justified now.

What was actually observed?Signal integrity
What is supported?Evidence state
What must survive?State + carry
What may move?Authority
What remains unresolved?Claim boundary
What happens next?Governed movement

Messy signal.
Preserved state.
Governed movement.

02 / SHARED TECHNOLOGY

One discipline. Several product bodies.

Each system has its own signals, evidence, runtime, constraints and current claim ceiling. What they share is a pattern-intelligence discipline: preserve state, separate evidence from claim, keep authority bounded, and make supported next movement explicit.

03 / APPLIED SYSTEMS

Built against real problems, not abstract demos.

Each system has its own signals, evidence, runtime, constraints and current claim ceiling. Public pages show the current evidence state without exposing protected implementation.

04 / VALIDATION

Quiet claims. Harder evidence.

Different products require different proof. Kingan Logic keeps deterministic regression, database and browser behavior, container/security validation, live-source execution, cloud receipts, signed artifact custody and scientific evaluation as separate evidence classes rather than turning “tests passed” into one universal state.

KLS / product state

890 / 890 hosted deterministic checks

The accepted deterministic product-state regression completed against a bound hosted source/tree, with 63 accepted schemas and contracts carried separately from empirical model claims.

890/890 / 63 CONTRACTS / BOUND SOURCE
Human signal

8 migrations + 179 pgTAP assertions

Governed state and handoff surfaces include PostgreSQL/RLS work plus a 288-run blinded study spanning 864 turns. The preregistered Q1 criterion was not met and that result remains visible.

POSTGRESQL / RLS / 288 RUNS / 864 TURNS
Asset Management Engine

RC2 100% statement/branch coverage

RC2 reached 100% statement/branch coverage across 1,825 statements and 500 branches, alongside PostgreSQL RLS, Firefox/WebKit, container/security and OCI/Azure evidence.

1,825 STATEMENTS / 500 BRANCHES / DB / BROWSER / OCI
AI integrity + reentry

Execution truth + signed custody

Deterministic HOLD/BLOCK/QUARANTINE/REPAIR_REQUIRED states sit beside reproducible OCI, ACR/Key Vault/Notation and confidential ACI/CCE/SKR work without turning repair into release authority.

HOLD / BLOCK / SIGNED OCI / CONFIDENTIAL RUNTIME
Predictive logistics

351 Python tests + 7 browser flows

Current validation also includes 9 Cloudflare runtime checks, contradiction-aware route state, outcome feedback and container/cloud custody.

351 PYTHON / 7 PLAYWRIGHT / 9 CLOUDFLARE
Disaster mapping + hazard response

Live NWS/AWS + 600-case evaluator program

The product has executed current official-source ingestion while controlled evaluation keeps hazard evidence separate from consequence, response feasibility, responder danger and action authority.

LIVE NWS / AWS / 600 CASES / CLAIM CEILINGS
Controlled AI research

Two public records + eight-paper map

The research program preserves null, mixed, interrupted and repaired findings, with two public Zenodo records, eight mapped paper bodies and one bounded spinout.

2 PUBLIC RECORDS / 8 PAPERS / 1 SPINOUT
05 / RESEARCH

Build the experiment. Keep the negative result.

Kingan Logic studies decision quality beyond answer accuracy: permission, carried state, evaluator validity, failure ownership, repair, human reconstruction burden and whether recurring architecture actually transfers across domains. Null, mixed, interrupted and repaired results remain visible.

2public Zenodo research records
8mapped paper bodies
1bounded spinout

The research map is broader than one result.

Two public Zenodo research records are now live, with a broader eight-paper map and one bounded spinout maintained on the Research page. Product validation and scientific efficacy remain separate.

06 / FOUNDER

Built by an operator who kept finding the same problem.

Kingan Logic was founded by Logan Davis, a founder and product architect whose software work grew from more than two decades in multifamily operations, asset management, turnarounds, training and portfolio execution—environments where incomplete information, timing, evidence and execution directly affected outcomes.

Logan Davis, founder of Kingan Logic
Alabama / operator-built systems

Founder-led. Evidence-heavy. Still willing to stop when the proof stops.

The products grew from a repeated operating pattern: important state gets lost, evidence becomes detached from the claim it supports, teams act from stale assumptions, and increasingly capable AI can still leave the human rebuilding the map. The full founder story—including the logistics and smart-glasses moments that pushed that problem into software—lives on the Founder page.

Kingan Logic

Different domains.
The same difficult problem.

Kingan Logic is a founder-led technology company developing pattern-intelligence, decision infrastructure and applied systems across AI-assisted work, multifamily, physical assets, logistics and disaster response.

Public descriptions intentionally stop at the evidence boundary; protected implementation and unreleased research machinery remain private.

Contactlogan@kinganlogic.comLogan DavisSelective access

Kingan Logic / Max R.O.I. LLC
Birmingham, Alabama, United States