AI Governance · Outcome-Driven LLM Security · Port Angeles, WA
I stop your AI from costing you a lawsuit.
Three outcome-first productized solutions. Real pricing, no "request a quote," no sales deck.
| Solution | Price | Who it's for |
|---|---|---|
| CX Refund Guardrail | $500–5,000/mo | SaaS teams running AI support. Stop your chatbot from promising refunds it can't deliver. Built after Moffatt v. Air Canada. |
| ISO 42001 Evidence Service | $50K–150K/yr | Banks, insurers, and regulated enterprises. Audit-ready documentation for ISO 42001, SR 11-7, EU AI Act. |
| AI Red Team as a Service | $5K–50K/engagement | Mid-market SaaS with LLM features. 6,066 adversarial tests, branded PDF, 4-week delivery. |
Plus $29 one-time packages (governance toolkit, HYDRA agents, n8n workflows, content engine), training data ($49–$399), and the novel that teaches the framework through story (The Six Tongues Protocol).
I also take on custom AI projects. I cover my own AI API costs — clients don't pay for OpenAI or Anthropic tokens on top of my rate.
- Fixed-scope project — flat price after a 30-minute scoping call. $2,500–$15,000 typical.
- Hourly consulting — $150/hour for strategic work, code review, architecture.
- Monthly retainer — ~20 hours/month, $2,500/month. Dedicated Slack, priority response.
Patent pending: USPTO #63/961,403 · MIT licensed · 29,000+ tests passing
Every AI action passes through 14 mathematical layers in a Poincaré ball model. Safe behavior clusters near the center. Adversarial drift hits an exponential cost wall. The framework can't be fooled by prompt injection because it doesn't classify intent — it measures geometric distance from trusted-behavior space.
H(d,R) = R^(d²)Install:
npm install scbe-aethermoore pip install scbe-aethermooreQuick score:
import { harmonicScale } from 'scbe-aethermoore/harmonic'; const score = harmonicScale(2.5, 0.1); // 0.238 = elevated risk // 1.0 = trusted center · 0.0 = boundary→ SCBE-AETHERMOORE repo · → 17 interactive demos · → Research
Three domains. One pattern: bounded AI inside governed loops.
| Domain | Project | Role |
|---|---|---|
| AI Governance | SCBE-AETHERMOORE | Hyperbolic control plane — adversarial behavior becomes geometrically expensive |
| Inference Orientation | Polly (assistant) | Route-first operator that sits in front of site flows — sees every page, maps intent to catalog |
| Agent Orchestration | HYDRA (inside SCBE) | Swarm coordinator — 6-agent teammate AI in flock/assistant lanes |
- The Six Tongues Protocol — 70K-word novel that teaches the SCBE framework through story. 22 chapters. Same vocabulary as the codebase.
- PHDM-21D Embedding Model — 21-dimensional Poincaré Ball embedding: 6D hyperbolic + 6D phase + 3D flux + 6D audit.
- Hyperbolica — Hyperbolic geometry primitives.
- Six Tongues GeoSeal — Bijective tokenization + context-aware encryption.
- AetherBrowser — Governance-aware browser runtime.
- AI Arena — 9-model debate sandbox. BYOK. Runs in your browser.
I build from a Chromebook with 2.7GB of RAM. Heavy compute runs on HuggingFace, Google Colab, and GitHub Actions. I don't write code directly — AI writes it, I architect and make decisions. You don't need a fancy machine to build real things.
- Language: Python + TypeScript
- Tests: 29,000+ across 6 tiers (L1-basic through L6-adversarial)
- CI: GitHub Actions
- Training: QLoRA on HF, fine-tunes published to
huggingface.co/issdandavis - Datasets: 11 datasets on HuggingFace, flagship at 1,484+ downloads
- Distribution: npm + PyPI + HuggingFace + direct from aethermoore.com
| Platform | Handle |
|---|---|
| aethermoregames@pm.me | |
| issac-davis-scbe-aether | |
| GitHub | issdandavis |
| HuggingFace | issdandavis |
| Kaggle | issacizrealdavis |
| Ollama | issdandavis7795 |
| YouTube | @id8461 |
| Site | aethermoore.com |
Built in Port Angeles, WA · Patent pending USPTO #63/961,403 · MIT licensed framework · Direct from me to you