A deterministic stack. Not another model.
QGI ships five layers plus a delivery surface. Every layer is designed for regulated workflows where decisions must be explainable, replayable, and defended under examination.
Q-Prime is live. The QAG Engine is in public preview. Qualtron and Quantum Graph Memory (QGM) are coming soon — join the waitlist for each. Neural Symbolic Agents is the enterprise runtime that ties it together. Q6 is listed as the EQ-focused model planned for Uniti Q, and Enterprise Blueprints is how every layer reaches production.
Deterministic AI stack
- L5 RuntimeEnterprise
Neural Symbolic Agents
Orchestrates multi-agent workflows. Defends decisions end-to-end.
- L4 MemoryComing soon
Quantum Graph Memory
Time-aware graph memory (QGM). Preserves provenance across sessions.
- L3 GenerationComing soon
Qualtron
Composite 4M-context specialized models for regulated output.
- L2 ReasoningPublic preview
QAG Engine
Seven HSC signals: Relevance, Conflict, Overlap, Redundancy, Coverage, Coherence, Topology.
- L1 FoundationLive
Q-Prime
Quantum-structured embedding model. Encodes polarity, scope, conditions, dependencies.
+ Delivery — Enterprise Blueprints ship every layer into production workflows.
Classical RAG gives you a confidence score. A stack gives you a defensible decision.
Regulators, auditors, and disputed-claim procedures do not accept a probability. They ask which rule, which data, and which conflict produced the outcome. That question cannot be answered by a single model — it requires a reasoning architecture.
Classical RAG + LLM
Probabilistic. Opaque. Non-replayable.
- Retrieval hides upstream failures — 90% of errors originate before generation
- Two different rationales from the same prompt on two different calls
- Contradictions between rules and overlays vanish into the latent space
- No trace a regulator can replay. No chain an auditor can sign.
QGI deterministic stack
Deterministic. Explainable. Defensible.
- Q-Prime encodes polarity, scope, conditions, and dependencies — structure, not just similarity
- The QAG Engine exposes contradictions as one of seven named signals before generation
- Qualtron's composite 4M-context generation stays inside the domain it was trained on
- Every decision is traceable. Every reasoning step is replayable on regulator request.
Five layers. One reasoning contract.
Each layer is independently auditable and composable. You can start with Q-Prime alone, add the QAG Engine, and graduate into Neural Symbolic Agents — all without breaking the deterministic contract.
Q-Prime
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.
QAG Engine
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.
Qualtron
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.
Quantum Graph 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.
Neural Symbolic Agents
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.
Model card preview
Q6
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.
Flagship application
Uniti Q
Uniti Q is the veteran wellness companion operated by Colorful Voices and powered by QGI and Q6. The Q6 model page links to Uniti Q without blurring operator and technology roles.
See the Uniti Q page →Delivery surface
Enterprise Blueprints
QGI deployment templates
Production-grade reference integrations wired to Q-Prime and QAG through the QGI Enterprise Factory, so every base ships decision-grade.
Concrete example
Documents QAG
NVIDIA's reference retrieval blueprint, forked into the Enterprise Factory and reshipped as Documents QAG — wired to Q-Prime so contradictions in policy, contract, and regulatory corpora surface as structured signals before generation. Classical RAG becomes deterministic QAG.
See the Documents QAG blueprint →Live artifacts and published record
Live vertical
Financial services pilots
Mortgage compliance, credit, claims, AML/KYC, and regulated review workflows are the live anchor for QGI deployments.
Live artifact
Q-Prime on HuggingFace
Model card, license, and managed-API access to the foundation layer of the stack.
Published record
20 peer-reviewed papers
Two decades of formal verification and decision-structure research informs the architecture.
Questions teams ask before a pilot
How is QGI different from a classical RAG pipeline?
A classical RAG pipeline retrieves nearest-neighbor documents in a vector space and asks a large language model to compose an answer. In regulated workflows, the same prompt can yield two different rationales on two different calls. QGI replaces that with Quantum-Augmented Generation (QAG): Q-Prime encodes rules and data into a quantum-structured hypergraph that preserves polarity, scope, conditions, and cross-rule dependencies; the QAG Engine exposes contradictions as explicit signals; Neural Symbolic Agents orchestrate the decision end-to-end.
Do I need quantum hardware to run the QGI stack?
No. Q-Prime and the QAG Engine run on NVIDIA CUDA-Q and cuTensorNet on commodity GPUs. There is no QPU dependency. The "quantum" in Quantum General Intelligence refers to the structural representation — a quantum-structured hypergraph — not to the underlying hardware.
Is Q-Prime open source?
Q-Prime is available on HuggingFace as a managed API under the QGI Commercial Model License v1.0. The model weights are not distributed; access is mediated by the HuggingFace model card. Client SDKs and integration examples are open on the Quantum-General-Intelligence GitHub org.
What are Qualtron and QGM, and when will they ship?
Qualtron is a composite 4M-context model architecture of specialized small models for regulated generation. QGM (Quantum Graph Memory) is a time-aware graph memory substrate that preserves provenance across sessions and regulatory replays. Both are in design today. Waitlist access is available — join from the product pages and we will notify you when each ships.
Can QGI deploy on-premise or inside our VPC?
Yes. Enterprise engagements include VPC and on-premise deployment options alongside the managed service. See the Trust page for deployment models, data handling, and the compliance roadmap.
Ready to deploy decision-grade AI?
We run a small number of pilots per quarter in regulated industries — credit, claims, compliance, AML/KYC, and capital markets.