SYS // LAB-03 · WY · CHEYENNE

ETTC LABS

AI-Native Testing. Human-Verified Results.

Identify Verify Issue evidence AI assists · does not certify

An AI-native laboratory operating system is in development. This public site is the institutional front door — not a product storefront, not a chatbot, and not a live certification service.

Technical Testing for the Technologies of Tomorrow. Engineering Confidence Through Evidence. A scientific testing and compliance laboratory in development.

Lab OS · in development

Not a marketing-only site. Not a live product.

ETTC is building an AI-native laboratory operating system: intake, evidence identity, assisted analysis, human verification, report control. This website is the public front door to that work.

Locked public facts

Company record

Public name
ETTC Labs
Legal name
Emerging Technology Testing & Compliance, LLC
Entity
Wyoming limited liability company. Not a corporation. Not Inc.
Status
Laboratory Development
Line
AI-Native Testing. Human-Verified Results.
AI rule
AI assists laboratory personnel; it does not independently certify, approve, or issue findings.
Posture
Scientific testing and compliance laboratory in development. This site is the public front door, not a credentials wall.
Parent
GA Skill Games, LLC. Parent holding company. Ownership does not determine outcomes.
Headquarters
1621 Central Avenue STE 9342, Cheyenne, WY 82001
Additional location
3920 Jonesboro Rd, Forest Park, GA 30297 — additional location, not headquarters. No telephone is published for this site.
Contact
Project form. Mail to Cheyenne HQ. Public telephone (307) 313-1710 is listed on Contact and in the footer.
Lab OS
ETTC is building a laboratory OS. The public website is the front door. Portal and Verify are Coming Soon — not working product surfaces.
Portal
Coming Soon. No login and no live automation on this public site.
Indexing
Publicly indexable. Open for search and AI discovery.

Next generation

Technical testing for the technologies of tomorrow.

Software, models, interactive systems, payments evidence, and integrity controls are engineering objects. ETTC treats them as such: identified, hashed, tested, and reported with limitations in view.

01

Identify the object

Intake, custody, and SHA-256 identity before anyone argues about a result.

02

Assist, then verify

Models may map and flag. People accept or discard. Nothing is certified by a model.

03

Issue evidence

Reports state scope, methods, findings, and what the work does not decide.

What we test

Four industry architectures. Gaming is one vertical.

These are laboratory disciplines in development — not market licenses.

IND-01

Emerging Technology, AI, Software, Cloud & APIs

Architecture for evaluating modern software systems, model-assisted products, cloud services, and programmatic interfaces.

IND-02

Gaming & Interactive Systems

One laboratory vertical — skill, amusement, mathematics, RNG where in scope, kiosks, mobile, and web. Not a casino brand and not a gambling operator.

IND-03

Payments

Technical review of payment flows, settlement records, and related integrity controls when those artifacts are in scope.

IND-04

Cybersecurity & Integrity

Integrity, configuration, and evidence-oriented security review as a testing discipline — not a managed security provider claim.

Inside the AI laboratory

AI-powered analysis. Laboratory-controlled verification.

Twelve assisted capabilities. One rule: the laboratory remains the author of every finding.

AI-01

System Mapping

Assisted inventories of modules, interfaces, and dependency surfaces from submitted artifacts.

AI-02

Anomaly Detection

Candidate outliers in code, logs, or numerical series — each requiring human acceptance.

AI-03

Simulation Support

Scenario generation and model-assisted rehearsal of stated paths. Simulations are not field proof.

AI-04

Log Analysis

Clustering and timeline assistance across operational logs supplied for the engagement.

AI-05

Evidence Packaging

Assisted assembly of exhibits, hashes, and cross-references for the laboratory record.

AI-06

Configuration Diff

Comparison of declared configurations, manifests, and environment snapshots.

AI-07

Test Generation

Draft cases and oracles proposed from requirements text. Staff decide what enters the plan.

AI-08

Regression Assist

Assisted comparison of current artifacts against a prior, identified baseline.

Read the full AI Laboratory description

Evidence-driven flow

Ten controlled steps from engagement to change review.

01

Engagement

Scope, parties, and confidentiality terms are recorded. Work does not begin on an undefined object.

02

Evidence Intake

Source, binaries, documentation, and access credentials are received under a custody record.

03

Integrity

Hashes, manifests, and identity of the test object are confirmed before analysis proceeds.

04

Test Planning

Methods, environments, and acceptance of limitations are written down. The plan governs the work.

05

AI-Assisted Analysis

Where useful, models map and flag candidates. Machine output is advisory to laboratory staff only.

06

Laboratory Testing

Human-directed testing executes the plan against the identified object and records observations.

07

Technical Review

A reviewer who did not solely produce the draft examines methods, evidence, and wording.

08

Quality Review

Quality review checks completeness, impartiality flags, and report-control requirements.

09

Final Report

The issued report states scope, methods, findings, and limitations. It is the controlled work product.

10

Change Review

Material changes to a previously tested object require a new or supplemental engagement. A prior report is not continuous monitoring.

Built for trust

Independence is a method, not a slogan.

GA Skill Games, LLC owns the laboratory company. Owners may fund buildings, tools, and time. They do not edit findings. Ownership does not determine outcomes. Evidence does. Owners control strategy and resources, not laboratory findings.

Quality, governance, and the public registers

Quality system

Methods, records, and review in writing

A quality system is being written so methods, records, impartiality, and corrections can be controlled. That is readiness work.

Research

Program in development

ETTC research exists to improve laboratory methods. It does not sell a consumer product. Notes will appear here as they are cleared for public release.

RS-01

Human verification of machine-assisted analysis

How laboratory staff should accept, amend, or discard model output so that AI never becomes the certifying actor.

RS-02

Evidence identity and build integrity

Hash, manifest, and custody practices that keep the tested object identical to the object named in the report.

RS-03

Skill, amusement, and deterministic systems

Technical methods for interactive systems where skill or deterministic rules — not spectacle — are the object of review.

RS-04

Statistical honesty in limited samples

How to state uncertainty when data are finite, biased, or supplied only by the client.

Open the research program

Work with ETTC

Work with ETTC

Submit a project brief by form. Mail to Cheyenne headquarters. Public telephone is on Contact and in the footer.