QGI Launches the Deterministic AI Stack: Five Products for Regulated Decisions

Today we are relaunching QGI as a product company. We are not a research lab that happens to publish software. We are a software company with a specific thesis — that AI used in regulated decisions needs a different architecture than AI used in consumer products — and a specific stack that delivers on it.

The thesis is simple. In a classical "RAG + LLM" pipeline, two calls with the same prompt can produce two different rationales. In a consumer chat, that is an interesting quirk. In a denied mortgage, a rejected insurance claim, a blocked KYC case, or a clinical coverage decision, that is a liability. It is a CFPB letter, a state Attorney General inquiry, a FOIA disclosure, an SIU deposition. Probabilistic AI does not survive audit. Deterministic AI is what the regulated future of AI looks like — and the stack has to be deterministic by construction, not by bolt-on guardrail.

Five products. One reasoning graph.

The QGI stack has five layers, plus Enterprise Blueprints as the delivery surface:

1. L1 Q-Prime

   Foundation · Encoding

   Quantum-structured embedding model. The first commercial quantum-structured embedding model. Encodes enterprise data into a quantum hypergraph that preserves polarity, scope, conditions, and cross-rule dependencies. Runs without quantum computers.

2. L2 QAG Engine

   Platform · Reasoning

   Quantum-Augmented Generation platform. The reasoning layer that replaces retrieval-centric pipelines. The Hilbert-Space Compacting layer projects high-dimensional states into seven interpretable signals the engine consumes before generation — so contradictions surface as explicit signals, not vanishing into a probabilistic score.

3. L3 Q6

   Model - EQ and safety

   The intelligence with EQ. Q6 is the QGI model positioned around emotional intelligence, Q-Prime-based memory, time-aware context, safety-aware behavior, and resource navigation. It powers the Uniti Q wellness companion and is planned for OpenRouter and direct API access once model-card, pricing, and safety materials are approved.

4. L4 Qualtron

   Platform · Generation

   4M-context composite model architecture. A composite architecture of specialized small models that compose into a 4M-token working context for regulated generation. Designed to replace general-purpose LLMs inside the QAG Engine where domain precision beats raw scale.

5. L5 Quantum Graph Memory

   Platform · Memory

   Time-aware graph memory for QAG. A time-aware graph memory substrate for QAG agents. Preserves the provenance and temporal structure of every fact, decision, and revision, so reasoning stays consistent across sessions, audits, and regulatory replays.

6. L6 Neural Symbolic Agents

   Runtime · Orchestration

   Enterprise agent runtime. The execution and orchestration layer on top of the QAG Engine. Brings persistent, quantum-structured memory, dependency tracking, and conflict coordination to multi-agent regulated workflows.

The delivery surface is Enterprise Blueprints — mostly forks of NVIDIA AI Blueprints, wired to Q-Prime and the QAG Engine through the QGI Enterprise Factory. Documents QAG — the fork of NVIDIA's RAG reference blueprint, remade deterministic — is live today.

Why this positioning, why now

The company has been building this stack for more than a year. What changes today is how we describe it. We are retiring the "research lab" frame. We are retiring "mission-critical intelligence" as the marquee phrase. The new positioning is specific: deterministic AI for regulated decisions. That is the category we are building. It is the category our customers ask for. It is the category that survives audit.

Three things drove the timing. First, regulated financial-services teams need AI decisions that can survive governance review. Second, Q-Prime reached HuggingFace and the QAG Engine opened public preview in April, so the stack is no longer a roadmap document. Third, the regulator landscape has hardened. State AGs, the CFPB, and prudential regulators are now asking for explainability at the individual-decision level — not at the aggregate-model level. Probabilistic AI is not going to clear that bar. Deterministic AI has to.

The three pillars of the relaunch

Availability — what is live, what is shipping, what is next

Industries and engagement

Financial Services is the anchor vertical: mortgage compliance, credit, claims, AML/KYC, and regulated review workflows where every answer needs a defensible trail. Insurance, Healthcare, and Government are on the 2026 roadmap with open waitlists.

Neural Symbolic Agents — the top layer of the stack — ships as a custom enterprise engagement, not a self-serve product. We run a small number of pilots per quarter. Each follows a structured path: Scoping → Pilot → Audit → Production, with governance artifacts, model cards, signal-level dashboards, and replay tooling from day one.

Trust posture

Determinism is one half of the contract. Trust posture is the other. Our Trust page lays out the full picture: deployment models (Managed, VPC, On-premise), data handling, the compliance roadmap (SOC 2 Type II in progress, HIPAA-ready architecture, FedRAMP on the horizon), and the principle the stack is built against — if a decision matters, it must be understood.

What changes for existing evaluations and pilots

Nothing changes for active evaluations or pilots already in scoping. The 5-product stack was the architecture being built behind the scenes; today it becomes the public interface. If you are already running a QGI pilot — or evaluating one — your contact, your workflow, and your contract stay the same. You now have named products to point at in your governance review.

About QGI

Quantum General Intelligence Inc. (QGI) is a San Diego-based AI company that builds the deterministic AI stack for regulated industries. QGI's five products — Q-Prime, the QAG Engine, Qualtron, Quantum Graph Memory (QGM), and Neural Symbolic Agents — are delivered through Enterprise Blueprints (mostly forks of NVIDIA AI Blueprints wired to Q-Prime and the QAG Engine). Co-founded by Dain Ehring (CEO, previously founder of Dorado) and Dr. Sam Sammane (Chief Scientist, PhD in Formal Verification). Learn more at qgi.dev or contact press@qgi.dev.