Deterministic AI
for regulated decisions.

Five layers. One reasoning graph.

The stack is the company. Each layer is architected to preserve the property that matters: a decision you can replay against the evidence that produced it.

1. L5

   Q-Prime Foundation · Encoding

   Quantum embeddings. The first commercial quantum-structured embedding model. Encodes enterprise data into a hypergraph that preserves polarity, scope, and cross-rule dependencies. Runs on NVIDIA CUDA-Q — no QPU required.

2. L4

   QAG Engine Platform · Reasoning

   Chunkless RAG for regulated decisions. QAG reasons over whole documents instead of chunked retrieval. A Hilbert-Space Compacting layer projects document states into seven interpretable signals before generation, so contradictions surface as explicit audit signals.

3. L3

   Qualtron Platform · Generation

   4M-context composite model. Specialized small models that compose into a 4M-token working context for regulated generation. Replaces general-purpose LLMs inside QAG where domain precision beats raw scale.

4. L2

   Quantum Graph Memory Platform · Memory

   Time-aware graph memory. Graph memory for QAG agents. Preserves provenance and temporal structure of every fact and revision, so reasoning stays consistent across sessions and audits.

5. L1

   Neural Symbolic Agents Runtime · Orchestration

   Custom agents for FS workflows. The runtime layer of the stack. Orchestrates underwriting, claims, fraud, and compliance with persistent memory, dependency tracking, and conflict coordination that survives audit replay.

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, so every base ships decision-grade.

A product company with a research backbone.

We ship products, not papers — but every layer derives from formal verification, neurosymbolic AI, and quantum-structured representations. See Research and publications.