Patent-Pending · Filed March 22, 2026 · UID: MZN-PAT-HDTP-2026-0322-001

From any data,
through any narrow channel,
back to bit-perfect.

HDTP — Hourglass Data Teleportation Protocol — is a multi-stage data transit architecture that compresses arbitrary digital data into a structurally minimal form, transits it through narrow channels using a dedicated transit protocol, and reconstructs it bit-perfect at destination. Inspired by biological systems. Built solo. Filed and timestamped.

HDTP brings together three properties no existing system combines: data reduction beyond statistical compression limits, transit through arbitrarily narrow channels, and bit-perfect reconstruction at destination — achieved through a multi-node architecture in which no single node holds the complete data. ~30% of the invention is disclosed for priority establishment. ~70%, including the core decomposition and reconstruction mechanisms, is reserved under NDA.
Begin Partnership Conversation See Disclosure Boundary
Patent Filing · At A Glance
Mar 22, 2026
First disclosure
HDTP-2026-0322-001
Patent UID
12
Claims documented
~30%
Disclosed
~70%
Reserved · NDA
SHA-256
Blockchain timestamped
The Problem

When the channel is narrower
than the data.

There are real-world conditions where the available channel is orders of magnitude narrower than the data that must move through it. Bandwidth-constrained IoT and edge devices. Disaster scenarios with degraded infrastructure. Side-channel transits that carry only a few bits at a time. In these conditions, conventional methods break down — not because they are poorly designed, but because each method addresses only a partial problem. None solves it end-to-end.

Limitation 01

Conventional compression is bounded by Shannon entropy

ZIP, GZIP, Brotli, Zstandard reduce file size by removing statistical redundancy. They are bounded by information-theoretic limits. A 10MB file compressed to 5MB still requires a 5MB-capable channel. They cannot reach the orders-of-magnitude reduction needed for bytes-per-second transit.

Limitation 02

Tunneling disguises traffic, does not reduce it

VPN, Tor, DNS tunneling wrap data inside permitted protocols. They do not fundamentally reduce data volume — they only change its visible form. Deep Packet Inspection can identify tunneled traffic through statistical analysis of size, timing, and volume.

Limitation 03

Steganography has bounded carrier capacity

Hiding data within carrier media (images, audio) is capacity-limited — typically less than five percent of the carrier. Statistical steganalysis can detect the presence of hidden data through entropy analysis. Useful in a narrow set of cases. Not a general transit method.

Limitation 04

Mesh networks duplicate data across every node

Briar, Bridgefy, and similar mesh approaches require user density and do not reduce message size. Each node carries a complete copy of the message — which creates a structural security vulnerability if any single node is compromised.

The gap. No existing system combines all of: extreme data reduction beyond statistical limits through structural decomposition, transit through arbitrarily narrow channels, bit-perfect reconstruction at destination, multi-node sequential processing where no single node holds the complete data, and inherent security through topology rather than encryption alone. HDTP addresses all of them in a single architecture.
The Approach

Decomposition.
Narrow-channel transit.
Sequential reconstruction.

HDTP operates in three phases, inspired by biological information transfer. The source decomposes data into a structurally minimal transit form. The transit form passes through whatever narrow channel is available, using a dedicated transit protocol. At destination, a chain of nodes reconstructs the data bit-perfect — with no single node holding the complete data along the way.

01

Phase 1 · Structural decomposition (source)

Arbitrary input data — any type, any size — is decomposed through a multi-layer process into a transit form orders of magnitude smaller than the original. The decomposition is structural and semantic, not merely statistical. The specific algorithms that make this beyond-Shannon reduction possible are part of the reserved core of the invention.

02

Phase 2 · Narrow-channel transit (dedicated protocol)

The transit form moves through the narrowest available channel using a dedicated transit protocol. The protocol is designed to be channel-agnostic — it adapts to whatever physical medium can carry binary information at the available rate. The key architectural property: the transit form is small enough to fit through any channel that carries any information at all.

03

Phase 3 · Sequential reconstruction (chain of nodes)

At destination, a chain of nodes reconstructs the data sequentially. Each node processes only its own assigned layer. No single node holds the complete data, knows the total chain length, or knows the identity of other nodes. The complete original data emerges only at the final node, bit-perfect, verified by cryptographic hash. The full sequential reconstruction logic is part of the reserved core.

Why It Is Different

Five properties no existing
system combines.

Each individual property below exists somewhere in prior art. The combination — in a single coherent architecture — is what HDTP introduces. The table below compares HDTP against the four most common approaches on the five properties that matter for narrow-channel transit.

Property Compression (ZIP, Brotli) Tunneling (VPN, Tor) Steganography Mesh networks HDTP
Beyond-statistical-limit reduction × × × ×
Transit through arbitrary narrow channels × × Partial ×
Bit-perfect reconstruction
No single node holds complete data × Partial × ×
Architectural security (not encryption-dependent) × × × ×
The combination is the novelty. Each property above can be found in some existing system. What does not exist in prior art is a single coherent architecture that delivers all five together — and is implementable as a working transit protocol. That is what HDTP introduces.
Where It Applies

Anywhere the channel
is narrower than the data.

HDTP applies to any condition where the available transit channel is smaller than the data that must pass through it. The protocol compresses data into its most reduced structural form, transits it through the narrowest available channel using a dedicated transit protocol, and reconstructs it bit-perfect at destination. The pattern generalizes across multiple domains.

Application 01

Bandwidth-constrained IoT and edge devices

LoRa, NB-IoT, satellite pagers, low-power sensors, and similar edge devices have extremely limited transit capacity. HDTP enables transmission of payload volumes that the channel could not otherwise carry — without requiring custom hardware or higher-bandwidth links.

Application 02

Disaster recovery and degraded infrastructure

When infrastructure is damaged and only minimal connectivity remains — a single satellite link, a degraded cellular signal, or a constrained backup channel — HDTP can transit complete data through whatever narrow channel still functions.

Application 03

Quantum-resistant secure channels

Because security is architectural — no single node holds complete data — HDTP retains its security properties even against quantum-class attacks that could break conventional cryptographic primitives. Architectural security supplements, rather than depends on, encryption strength.

Application 04

Multi-node secure architectures

For sensitive transit where compromise of any single node should not compromise the complete payload, HDTP's multi-node sequential processing provides inherent structural security. The complete data is reconstructable only by traversing the full chain in correct order.

Disclosure Boundary

~30% disclosed for priority.
~70% reserved for partnership.

HDTP follows the same layered disclosure structure as the rest of the MZN portfolio. What appears on this page and in the provisional patent specification establishes priority and is sufficient for strategic evaluation — but is intentionally insufficient for re-implementation. The core mechanisms that make the architecture work in practice are reserved for partnership-tier conversation, after alignment is established.

~30%
Public Layer
What is shown on this page and in the provisional patent specification.
Three-phase concept (decomposition, transit, reconstruction)
Multi-node sequential processing principle
Channel-agnostic transit protocol concept
Application domain framing
Patent claims structure (12 claims documented)
Verification artifacts (UID, blockchain hash, SHA-256)
~25%
Restricted Layer
Available under coordinated correspondence with serious evaluators, under NDA.
Full claim text and patent specification
Detailed architecture documents
Channel adaptation specification
Cross-references with the broader portfolio (BioCode, ISBP, ZOE)
Conversation logs from first disclosure
~15%
Reserved Layer
Partner-tier only. Enters the conversation after confirmed alignment.
Specific decomposition algorithms enabling beyond-Shannon reduction
Node intelligence and adaptive processing layers
Biological-computational hybrid mechanisms
Self-organizing chain topology methods
Advanced reconstruction algorithms beyond sequential layer unpacking
Architectural layers beneath the visible surface
Why the structure matters. Public release of the reserved components would alter strategic posture before alignment with a partner is established. The disclosure structure is not coyness or marketing — it is structural reality for an invention that has no comparable peer in prior art. Partners requiring full transparency upfront, before any alignment conversation, will not find that here. That filter is intentional. See partnership for the full alignment philosophy and engagement path.
Verification

Priority is provable.
Independently.

First disclosure is established through a combination of unique identifier, cryptographic hash, blockchain timestamp, and an AI-assisted documentation session whose conversation logs are preserved. Each artifact below can be verified independently, without trusting any single source.

UID
MZN-PAT-HDTP-2026-0322-001
First Disclosure
2026-03-22 · 00:00 UTC
Documentation Context
AI-assisted session, Claude Opus 4.6 (Anthropic). Logs preserved.
Integrity
SHA-256 hash of full specification, registered via blockchain timestamp.
Cross-reference within the MZN portfolio. HDTP is not an isolated invention. It is part of an integrated portfolio of 330+ documented assets across 8 domains. Related frameworks include BioCode (the foundational theory of biological-computational equivalence that underlies HDTP's biological inspiration), ISBP (Intent-Security Bridge Protocol — architectural security at the input layer; HDTP applies the same principle at the transit layer), ZOE AI (12-layer AI architecture), and GPU Sentinel (infrastructure security). The architectural coherence across the portfolio is itself part of the case.

HDTP is filed.
Priority is established.
The full architecture is reserved for the right partner.

This page presents what is appropriate for the public layer. The ~70% reserved — including the specific decomposition algorithms, the node intelligence layers, and the architectural layers beneath the visible surface — enters the conversation only with the selected partner, after confirmed alignment, in coordinated correspondence.

Begin Partnership Conversation See Phase 3 Framing Verify on Crunchbase