Three outcome-first productized solutions. Real pricing, no "request a quote," no sales deck.

Buy it now, no call required: Governance Toolkit ($29) · Training Vault ($29) · training data at $99 / $299 / $999 (Lore Verbatim Pack, Technical Core, Red Team Fortress) · and the novel that teaches the framework through story (The Six Tongues Protocol).

→ Full shop

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.

→ Email me about your project

Patent pending: USPTO provisional #63/961,403, filed 2026-01-15. Sole inventor. · MIT licensed

Every AI action passes through 14 mathematical layers in a Poincaré ball model. Safe behavior clusters near the center. Adversarial drift hits a super-linear 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-aethermoore

Quick 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

Test suite: 13,960 Python tests and 6,504 TypeScript tests across 6 tiers (L1-basic → L6-adversarial). Python collection currently reports 2 errors; the nightly suite is the authority.

Measured honestly: hyperbolic distance did not beat cosine similarity on trust AUC in our own benchmarks. The claim is that the mechanism works as described — not that it wins every metric. Nulls are published next to the wins.

→ SCBE-AETHERMOORE repo · → Interactive demos · → Research

Three domains. One pattern: bounded AI inside governed loops.

• 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: 20,000+ across 6 tiers (L1-basic through L6-adversarial)
• CI: GitHub Actions
• Training: QLoRA on HF, fine-tunes published to huggingface.co/issdandavis
• Published on HuggingFace: 23 datasets and 17 fine-tuned models — pinned by eval evidence, not download count
• Distribution: npm + PyPI + HuggingFace + direct from aethermoore.com