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QGI Quantum General Intelligence Inc.

Quantum AI Now with no Quantum Computers

AI based on quantum embeddings for teams whose decisions must stand up to a regulator, an auditor, or a board — in credit, claims, compliance, and the clinic.

Five layers. One reasoning graph.

Every decision replayable, signable, defensible.

QGI ships a deterministic AI stack — Q-Prime embeddings, the QAG Engine, Qualtron generation, Quantum Graph Memory (QGM), and Neural Symbolic Agents — for workflows where decisions must be explained, audited, and defended. Evaluation intake is open for financial services and other regulated workflows.

Live
Q-Prime
HuggingFace
Public preview
QAG Engine
Chunkless Knowledge
Founder
20 peer-reviewed papers
3 successful exits · financial services & health labs compliance
Powered by QGI

First applications shipping on the QGI stack.

Q6 is the next QGI model. Uniti Q is the first application built on it — a wellness companion for U.S. veterans operated by Colorful Voices, LLC.

Model - EQ and safety

Coming soon · waitlist

Q6 — the intelligence with EQ

EQ-first model with Q-Prime memory, time-aware context, safety-aware behavior, and resource navigation. Planned access through OpenRouter and direct API once model card, pricing, and safety materials are approved.

  • Q-Prime quantum-structured memory base
  • Time-aware context across sessions
  • Wellness-not-clinical safety boundary

Flagship application

Powered by Q6

Uniti Q — veteran wellness companion

Uniti Q is a mobile-first wellness companion for U.S. veterans and their families. It is operated by Colorful Voices, LLC and powered by QGI and the Q6 model.

  • Operated by Colorful Voices, LLC
  • Powered by QGI and the Q6 model
  • Lanes for veterans, families, employers, clinicians, government partners

Uniti Q backers

Backer announcement coming. Logos will appear here once disclosure is approved.

What QGI is — in 40 words

QGI is an independent AI product company building a deterministic AI stack for regulated decisions.

QGI ships five layers — Q-Prime embeddings, the QAG Engine, Qualtron generation, Quantum Graph Memory, and Neural Symbolic Agents — for teams whose decisions must stand up to a regulator, auditor, or board. Every output is replayable, signable, and defensible.

Headquartered in San Diego, California. Co-founded in 2024 by Dain Ehring (CEO) and Dr. Sam Sammane (Co-Founder & Chief Scientist).

Key takeaways

  • Category: Deterministic AI stack — a successor category to RAG for regulated decisions, not a flavor of it.
  • Architecture: Quantum-Augmented Generation (QAG) over a quantum-structured hypergraph that preserves polarity, scope, and cross-rule dependencies.
  • Hardware: Runs on standard GPU infrastructure — no quantum computer required.
  • Anchor vertical: Financial Services (live). Pilot intake is open for regulated workflows in credit, claims, compliance, and related review processes.
  • Open artifacts: Q-Prime on HuggingFace, QAG Engine in public preview, Qualtron and QGM waitlist-open, Neural Symbolic Agents enterprise-only.
  • Built by: Dr. Sam Sammane — PhD in formal verification (Université Joseph-Fourier-Grenoble I, 2005), 20 peer-reviewed papers.
The stack

Five layers.
One reasoning graph.

QGI gives regulated teams a clear AI operating stack. It connects business rules, data, memory, generation, and workflow controls so decisions can be reviewed, explained, and improved before they reach production.

Enterprise Blueprints package the stack into ready-to-launch workflows. Each blueprint connects Q-Prime and the QAG Engine to customer data, rules, and approvals so teams can deploy faster with decision-grade controls.

The QGI deterministic-AI stack is composed of five layers, from the foundation up: Q-Prime (quantum-structured embedding model, production), the QAG Engine (Quantum-Augmented Generation reasoning, public preview), Qualtron (composite 4M-context generation, coming soon), Quantum Graph Memory (QGM, time-aware memory, coming soon), and Neural Symbolic Agents (enterprise runtime). Enterprise Blueprints provide the delivery surface that wires every layer into regulated workflows.
Why QGI

Classical RAG vs. QGI — in four rows.

The same question answered by two different stacks. One retrieves and composes a story. The other reasons against the actual rules and defends every signal it produced.

Dimension Classical RAG + LLM Retrieve, prompt, hope. QGI (QAG) Reason against the rules. Why it matters
Reasoning Retrieve nearest-neighbor documents. Ask an LLM to compose an answer from what it guessed was relevant. Rules, contracts, and records encoded into a quantum-structured hypergraph. The answer is computed against the actual policy. The decision is made against the real rulebook, not an approximation of it.
Explanation Post-hoc narrative. The LLM writes a story about why it answered — after it already answered. Explanation is the decision. Generated from the same graph that produced the answer. A regulator asks "why?" — you show the graph, not a story.
Contradictions Hidden. The LLM smooths over conflicting evidence and ships a confident answer anyway. Surfaced as seven explicit signals — Hilbert-Space Compacting exposes every conflict before generation. You stop shipping decisions that quietly violate a rule you forgot to retrieve.
Replay Approximate. Re-running the same query can produce a different answer, with a different rationale. Deterministic. Same graph, same signals, same decision — replayable bit-for-bit. Audit asks for the exact decision from last quarter. You reproduce it.
Two paths

Build with us, or deploy in your enterprise.

The stack is designed for two audiences. Engineers who want to evaluate quantum-structured embeddings and deterministic reasoning start on the open layers. Regulated teams with a live decision problem start with a scoped pilot.

For engineers & researchers

Start on the open layers.

Review Q-Prime, explore the deployment templates, and request QAG Engine preview access when you are ready to test a workflow.

For regulated teams

Start with a scoped pilot.

Tell us the business decision you want to improve. We define a focused pilot, connect the right data and approval steps, and show how QGI makes the process easier to review and trust.

Industries

Financial Services first.
Regulated next.

Every "RAG + LLM" workflow in a regulated vertical becomes QAG — deterministic reasoning over the actual rules, contracts, and records that decide the outcome.

Financial Services is live today. Insurance, Healthcare, and Government are on the 2026 roadmap with open pilot intake through the contact form.

Vertical

Live

Financial Services

Mortgage compliance, credit, claims, AML/KYC, insurance, capital markets

Read vertical →

Vertical

Coming soon

Insurance

Underwriting, claims adjudication, fraud investigation

Request pilot intake →

Vertical

Coming soon

Healthcare

Clinical decisioning, regulatory reasoning, payer-provider workflows

Request pilot intake →

Vertical

Coming soon

Government

Audit-grade public-sector decisioning

Request pilot intake →
Who built this
Dr. Sam Sammane, Co-Founder & Chief Scientist, Quantum General Intelligence Inc.

Dr. Sam Sammane — Co-Founder & Chief Scientist

PhD, Formal Verification · 20 peer-reviewed papers · Architect of the QGI stack

QGI is architected by an engineer whose PhD was the formal verification of real hardware — the discipline of proving, not hoping, that a system behaves correctly. The stack you see is that discipline applied to AI: quantum-structured encoding, reasoning that exposes contradictions, and a runtime that preserves provenance end-to-end.

That Cat

Most systems deliver answers from inside a sealed box.

You are told the result.

You are asked to trust it.

We reject the box.

At QGI, the intelligence is the decision,

the explanation,

and the evidence —

all at once.

No guessing.

No faith.

Only what can be seen.

Ready to deploy intelligence that can be trusted?

Partner with QGI