SCBE-AETHERMOORE
MARKETS loading…
AI GOV
Loading AI governance news…
🎉 First 100 pilots FREE · claim a spot · 99.42% AUC · 91/91 red team · 25/25 training gate

Stop your AI from costing you a lawsuit.

We stop chatbots from promising refunds they can't deliver, code assistants from leaking system prompts, and medical AI from inventing CPT codes. Then we hand you the audit log regulators demand. First 100 pilots are free — help me validate, keep the product if it works.

CX Refund Guardrail from $500/mo ISO 42001 Evidence from $50K/yr AI Red Team from $5K/engagement Open source framework underneath Operator Agent Bus with receipt-backed dispatch
L1-L14 Verification Post-Quantum Ready Multi-Agent Orchestration Regulatory-Grade Audit Buyer-Only Delivery URLs

The product path is wired, not just described.

The public site now points to the latest SCBE project proof surfaces: the Operator Agent Bus, constrained-decoding gate results, package rebuild checks, and buyer-only delivery configuration for non-open-source packets.

Delivery
📦

Buyer Packet Delivery

Paid ZIP bundles rebuild locally, remain out of the public website repo, and can be delivered through buyer-only URLs using Stripe fulfillment environment variables.

Verify offer delivery →
Manual
📖

Non-Open Delivery Rules

The delivery manual separates open-source framework access from paid packet delivery, recovery, support, and private endpoint handling.

Read buyer instructions →

Outcomes, not plumbing.

You don't buy governance. You buy the thing governance lets you ship safely. Pick a vertical, solve a real problem, keep the audit trail.

$500-5K/mo SaaS
💬

CX Refund Guardrail

Stop your chatbot from promising refunds it can't deliver. Policy-enforcement middleware sits between your LLM and your customer. Moffatt v. Air Canada made this case law.

See the solution →
$5-50K/engagement
🛡

AI Red Team as a Service

We break your AI before adversaries do. 91 red team prompts · 0 false positives, branded PDF report, prioritized remediation roadmap. Quick engagements, real findings, mid-market pricing.

See the solution →
Need something else? Legal contract audit trails, medical coding verification, insurance underwriting explainability, HR bias audits — if your AI is in a regulated vertical, we can help. Email us.

Why the math matters.

🛡
SDK

14-Layer Pipeline

Every interaction is processed through 14 sequential security layers, from complex context ingestion to audio harmonic verification.

npm i scbe-aethermoore
🔒
Protocol

RWP1 Protocol

Recursive Wave Pipeline envelopes ensure data integrity and domain-separated intent verification across any model fleet.

Explore demos →

Split into focused layers, not a monolith.

SCBE-AETHERMOORE used to be one giant repo. I just broke it into nine focused ones, each with its own purpose, its own release cadence, and its own clone footprint. Pick the layer you need.

Core Framework
Math
📐

Hyperbolica

Hyperbolic geometry primitives. Poincaré ball distance, Mobius transformations, tangent maps. The math library underneath.

View on GitHub →
Model
🌐

PHDM-21D Embedding

21-dimensional Poincaré Ball embedding: 6D hyperbolic + 6D phase + 3D flux + 6D audit. The geometric foundation.

View on GitHub →
Developer Tooling · NEW
CLI
🔒

GeoSeal CLI

Six Sacred Tongues tokenizer + sealed envelope CLI. Stdlib only. Now with built-in explain subcommand using free AI (Ollama or HF).

View on GitHub →
NEW
🛠

Tongues Toolchain

Sacred Tongue assembler + VM. Write programs in .sts, compile to bytecode, execute on stvm. The Python VM for the programmable tongue layer.

View on GitHub →
NEW
🤖

SCBE Agents

HYDRA 6-agent swarm coordinator + agent runtime + MCP servers. Each head is a Sacred Tongue specialist. Bounded teammate AI, auditable by default.

View on GitHub →
Research & Evidence · NEW
NEW
📊

SCBE Experiments

Reproducible experiment scripts + raw JSON results. Every number on our evidence page sources from here. 99.42% AUC, published honestly.

View on GitHub →
NEW
📈

Training Lab

QLoRA configs, training scripts, SFT records, eval harness. Clone this alone on HuggingFace/Colab instead of the full monolith.

View on GitHub →
NEW
📚

Docs Archive

High-value documentation corpus: claims audits, evidence ledger, architecture, buyer proof checklist, DARPA outreach package. Separated from code.

View on GitHub →
Story & Play
Amazon KDP
📖

The Six Tongues Protocol

22 chapters, 70K words. The novel that teaches the framework through story. Same vocabulary as the codebase.

Buy on Amazon →
Browser

AI Arena

9 AI models, one prompt. BYOK round table. Ask a question and watch models debate it live in your browser.

Open the Arena →
Free
📚

Live Research Feed

Auto-updating daily feed of arXiv + HackerNews AI safety research. Runs on GitHub Actions, pushes to the site automatically.

Browse the feed →

Story is how the system stays legible.

1

Story gave the system names that stick

Aethermoor, the Six Tongues, and the harmonic wall are memory hooks for the control model, not random decoration.

2

Narrative pressure forced internal consistency

Once the world had rules, the architecture had to stop being vague and become precise enough to survive repeated use.

3

The framework hardened into code

Those concepts became the 14-layer pipeline, risk scoring model, demos, and integration surfaces that now run in the repo.

4

The assistant turned the site into a front door

Polly now sits in front of the tools, manuals, support, research, and story surfaces so people can start in one place and be pointed into the right lane.

5

The book became the memory surface

“The Six Tongues Protocol” exists so the framework can be carried in scenes, symbols, and vocabulary instead of only diagrams.

12,596
paragraphs of worldbuilding
fed the early narrative surface
Patent pending: USPTO #63/961,403
Listen to the story surface. 22 chapters set in the same world, vocabulary, and control logic as the framework.

The system already runs.

Not a whitepaper. Not a pitch deck. Running code with real tests and real publications.

0
TypeScript tests passing
0
Python tests passing
0
F1 score (semantic projector)
0
Security layers
0
Sacred Tongues
0
GitHub repos
USPTO
#63/961,403
Patent pending
0
Models on Hugging Face
0
Datasets published
0
Labeled prompt-injection samples
0
Red team benchmark downloads

High-Fidelity Training Sets.

We've proven that training on multiple layers of semantic intent produces superior model reasoning. Buy our verified SCBE datasets to harden your own AI.

Creative
📖

The Lore Verbatim Pack

12,500+ paragraphs of consistent, mathematically-grounded worldbuilding and conlang data. Perfect for fine-tuning creative/roleplay models.

$99
View Training Data
Enterprise
🛡

The Red Team Fortress

Our gold-standard adversarial dataset. Thousands of failed prompt injection attempts, labeled by failure layer (L1-L14). The ultimate defense training set.

$999
View Training Data

Get Started.

Open source framework, buyer-ready ZIP delivery, and direct consulting when a team needs implementation help.

Open Source
Free

The full 14-layer pipeline, Sacred Tongues, and hyperbolic cost engine. MIT licensed.

  • Full 14-layer security pipeline
  • Sacred Tongues tokenizers
  • Hyperbolic cost scaling logic
  • 99.42% combined AUC · 91/91 red team
View on GitHub
AI Security Training Vault
$29

Training data, benchmark materials, notebook workflows, and instructions for teams testing governed model-training paths.

  • SCBE AI Security Training Vault ZIP
  • Training-data and benchmark materials
  • Notebook-oriented workflow guidance
  • Buyer-only delivery URL after checkout
Buy Training Vault
Hire Issac