Coherent-state learning
on classical silicon.
Identity preserved.

TQNN is a global phase-coherent quantum-classical substrate that maintains internal identity across updates. It runs on conventional hardware at room temperature and exposes a restricted runtime interface for EEG, financial, tabular, chemistry, and other time-varying signals. Public developer runtime is coming soon; early access is granted under private runtime agreements.

Join runtime waitlist ◦ View licensing tiers

Substrate, not a model · Runtime access only · Substrate code never ships

Substrate

Global phase-coherent hybrid engine

TQNN maintains a single shared phase reference across an entangled mesh while allowing local adaptive rotation. Identity is defined at the state level, not the device level.

What the substrate does

The core entanglement mesh acts as a stable identity surface. Classical optimizers update local parameters without collapsing or reinitializing the global state, enabling long-horizon learning without representational drift.

Global GHZ-derived mesh with phase-locked identity
Adaptive updates that preserve internal continuity
Multi-basis readout (Z/X/Y) for coherence-aware signals
Composable layering for emergent state structures

In practical terms: no catastrophic forgetting, even as tasks change.

How it is exposed

TQNN is not shipped as source. Access is provided through restricted runtimes and tightly scoped APIs. Partners integrate at the protocol layer; the substrate remains sealed.

Black-box runtimes for OEM, HPC, and sovereign partners
Domain adapters for EEG, financial, tabular, and custom signals
On-prem or cloud-isolated execution under license
Sandbox AnyEngine API for non-commercial developer testing

Access is licensed and revocable. No open substrate, no fork-able core.

Licensing

Runtime access only. Substrate never leaves.

TQNN Labs licenses runtime execution of the substrate. All terms are baseline; negotiation adjusts scope, not direction.

Tier 1 · OEM Runtime

Consumer & Device Integration

For mobile, AR, wearables, and embedded silicon partners who require on-device coherent-state computation.

$0.55–$1.40 per activated device
$1.8M annual minimum

Non-exclusive runtime license for embedding TQNN at the firmware or OS layer. Identity-preserving inference runs locally on device; substrate code is never exposed to the OEM.

5-year term
Runtime-level integration under TQNN Labs oversight
Device activation reporting required
Substrate and training pipelines remain TQNN property

Target: handset OEMs, AR/BCI devices, automotive, and high-volume hardware.

Tier 2 · Data Center / HPC

Cluster & Research Execution

For enterprise AI labs, HPC clusters, and cognitive simulation groups requiring centralized substrate execution.

$780–$1,950 per node / year
12% reduction at 5+ nodes

Licensed execution of TQNN runtimes on approved clusters for EEG, financial, chemistry, or multi-modal workloads. Includes coherence-aware logging for long-horizon studies.

4-year term with renewal options
Per-node or per-cluster aggregation
Strict isolation of substrate images
Optional joint publications under co-authorship

Target: national labs, hospital research groups, sovereign computing centers.

Tier 3 · Strategic / Sovereign

Jurisdictional Substrate Access

For states, agencies, or major institutions requiring controlled, jurisdiction-locked access to the substrate.

Custom multi-year agreements
8-figure floors, equity and/or revenue share

Deep, structured access to TQNN runtimes under strict export, security, and oversight frameworks. Substrate remains TQNN property at all times; no cloning, no derivative substrate rights.

Case-by-case scoping and security review
Dedicated runtime lines for jurisdictional workloads
No source, no weights, no substrate transfer
Strategic roadmap alignment with TQNN Labs

Target: sovereign research initiatives, allied security & medical infrastructures.

All tiers are runtime-only. Substrate code, training pipelines, and internal architectures remain sole property of TQNN Labs. Access is revocable upon violation of technical, security, or ethical terms.

Access

Request runtime access to TQNN

Access is evaluated on fit, seriousness, and security posture. This is not a hobby stack; it is a coherent-state substrate intended for medical, cognitive, financial, and strategic work.

● Runtime-first, substrate sealed

How to start a conversation

If you are an OEM, research lab, or strategic institution and want to explore licensing, begin with a short outline of your intended use: domain, scale, safety requirements, and timeline.

Include any constraints around data residency, export controls, or jurisdictional rules. TQNN Labs prioritizes high-signal partners over volume.

Send an initial note to tqnnlabs@gmail.com with the subject line:

Subject: “Runtime Access Inquiry — [Org Name]”

Please do not send raw patient data, trade secrets, or confidential state material in the first message. High-level only.

◦ Developer & sandbox access

TQNN AnyEngine Runtime (coming soon)

Individual developers and small teams will be able to experiment with the TQNN AnyEngine API on a metered basis. This will be a sandboxed runtime: no substrate code, no guarantees, no direct support.

When published, public API documentation and client examples will live at:

GitHub: github.com/tqnnlabs

Access, pricing, and rate limits for the public API are subject to change without notice. If you build something serious, you will graduate into a formal runtime agreement.

All integrations assume you can operate a basic API, handle security on your side, and respect hard technical boundaries around the substrate. If that is a problem, this stack isn’t for you.