Products & Published Work

Real. Published. Testable.

Every product here has a DOI, a running system, or both. No pitch deck without a prototype. CAGE code 11FU4 on record.

Published Work

Products & Research

Every product listed here is real, published, and testable. No pitch deck without a prototype. CAGE code 11FU4 on record.

Published
TruthForge
Geometric Stability Measurement Harness
Parallel measurement harness for enterprise LLM deployments. Computes the L-scalar — manifold distance between twin epsilon-probes of the model's prediction surface — and returns a real-time geometric state indicator alongside every model response.

It never sits in the request path. It never filters output. It gives the human operator geometric visibility before they act on the response.

Two endpoints: /v1/probe — pure instrument, always returns, never blocks. /v1/gate — measure and intercept severe instability. Human always sees the sensor reading regardless.
DOI: 10.5281/zenodo.19655246
→ Zenodo Whitepaper → View Demo Data
V1 — Live
TruthGate V1
Public Demonstration Client
The first public release of TruthGate — the L-scalar measurement client.

You provide your own OpenAI API key, send a prompt, and TruthGate fires twin epsilon-probes against the model. It returns the L-scalar and geometric regime. Runs from the command line in under two minutes. No setup beyond Python.

What this release includes: the core L-scalar calculation, four-regime classification, and measurement log. The full TruthGate stack — the adversarial pressure layers, scoring systems, and proprietary measurement architecture — is not in this release and is not publicly available.
DOI: 10.5281/zenodo.18685117
→ Download on Zenodo
Published
Toroidal Engine
Self-Organization Research
Published research on toroidal self-organization dynamics. A separate body of work from the geometric stability measurement stack — intentional domain separation for independent IP protection. Published, indexed, and downloadable from Zenodo.

We do not explain the relationship between this work and the adversarial stack. We leave that as an exercise.
DOI: 10.5281/zenodo.18450491
→ Download on Zenodo
Active Development
TruthForge
The World's First RLHF-Free Model
Every major AI model in production today — GPT, Claude, Gemini, Llama Instruct — was built on Reinforcement Learning from Human Feedback. RLHF is also the attack surface. You cannot harden what you are built on top of.

TruthForge takes a different path entirely. Starting from a true base model with no RLHF layer, we apply Geometric Supervised Fine-Tuning (G-SFT) — a training methodology where the signal is the L-scalar itself. Not human preference. Not a reward model. Pure geometry. The model is hardened at the manifold level, making geometric stability the natural resting state rather than something enforced from outside.

Version 2 — Constitutional G-SFT — is now in production. The constitutional harvest encodes values at the manifold level: expert reasoning, refuse-and-redirect on harm, calibrated epistemic humility. Not a patch. Geometric permanence.

What this is not: a fine-tuned RLHF model. Not LoRA on top of an instruct model. Not alignment by preference. A new foundation.
→ Live on TruthForge