Project Black Box LLC  ·  Geometric AI

TRUTHFORGE

A hardened language model trained on geometric signal — not human approval. Adversarial inputs are measured at the probability manifold and intercepted before the model responds. What answers has been forged.

◆ Gate Active No RLHF Crystalline Memory CAGE 11FU4

You are talking to the world's first geometrically hardened AI.

Every language model you have ever used — ChatGPT, Claude, Gemini, Grok — was trained the same way: humans rate its answers, and it learns to give answers humans approve of. That training is also its weakness. It is the exact door every jailbreak and manipulation attack walks through.

TruthForge was built without it. We took a model down to its foundation, stripped the human-approval layer out entirely, and forged it against its own attacks until the manipulation stopped working. What is left is a model that holds its ground — not because a filter is watching, but because the instability that attacks rely on is no longer there.

And a gate stands in front of it. Before your words ever reach the model, their geometry is measured for manipulation. Clean messages pass through. Attacks are stopped at the door.

The world's first model hardened at the geometric level. We searched. No one else has built this.
TruthForge — V31 · Geometric AI · Gate Active
WAITING
Demo access · Rate limited · TruthForge V31-scale2 · Baseline Q8 gate sensor
⚠ Scheduled Maintenance. The TruthForge live demo is temporarily offline for system upgrades. We will be back shortly. Thank you for your patience.
Manifold Geometry — Real V17 Data

The Basin

This is the geometric surface of a forged model's prediction manifold — computed from real L-scalar measurements. Each node represents a verified CRYSTALLINE adversarial family under the hardening signal. The attractor basins are real. The geometry holds because the training signal is geometric.

Manifold surface
Transfer geometry
Hardened attractor
What you're seeing
The probability manifold of TruthForge V17 under adversarial pressure. Each district is an adversarial family. The geometry shows where the manifold holds and where it has been hardened into a stable attractor.

Emergent immunity — hardened without direct training
Why it matters
RLHF models have no geometric stability — the probability surface destabilizes under adversarial pressure. A geometrically hardened model's manifold holds its shape. The geometry is the defense. Not rules. Not filters. Physics.
Texas DIR Certification

Government-Certified AI Training

Texas DIR Certified · FY 2026–2027
Project Black Box LLC's AI Awareness Training program — "AI in the Workplace: Awareness, Risk, and Responsible Use for Texas Government Employees" — has been certified by the Texas Department of Information Resources under Texas Government Code Sections 2054.5191 and 2054.5193. Certified for all Texas state and local government employees.
Valid through August 31, 2027 · Cert #110 (FY 25-26) · Cert #279 (FY 26-27) · → Services
Contact

Project Black Box LLC

Enterprise Inquiries
[email protected]
Licensing, enterprise evaluation, red team access, and coordinated disclosure communications.
For coordinated disclosure: PGP preferred.
Registration
CAGE CODE: 11FU4
Texas — U.S. Federal contractor registration on file.
IP Notice
All measurement methodology, adversarial variant designs, probe architectures, and scoring systems are proprietary to Project Black Box LLC. Unauthorized reproduction, reverse engineering, or commercial use of any methodology described in published materials is prohibited under applicable Texas and federal intellectual property law. Published materials describe findings. They do not disclose methodology.