Next-Generation Quantum + AI  ·  Est. 2017

QED-C · Founding NSF · IUCRC Sys. Nominal

Pioneering Quantum Intelligence.

We engineer intelligence at the intersection of quantum mechanics and artificial intelligence — the computational substrate for civilization's hardest problems. Nothing artificial. Just intelligence, delivered today.

65,333
Citations
1,218
Papers
2017
Founded

The Thesis  /  01

We don't simulate intelligence.
We engineer it.

Most AI is statistics dressed in a coat. Most quantum is hardware in a roadmap. What we build is mathematics with substrate behind it — quantum-logic based optimization fused with machine learning, deep learning, and all facets of artificial intelligence, running on architectures designed for the work. This is the Quantum Logic Core™.

The result is exact computation for civilization-scale problems. Not approximations. Just solutions. Solving them — at orders of magnitude less power, with verifiable accuracy, on timelines that rapidly turn research into infrastructure.

This is not the AI of demos and benchmarks. It is the AI of operating systems — the layer beneath the layer, where transportation/logistics, defense, healthcare, energy, biology, and finance meet a new kind of computational ground truth.

Entanglement was founded to deliver on the promise of quantum computing now, not in a future white paper. The team has spent a decade proving the thesis. The next decade is about scale.

The Substrate  /  02

One core. Multiple category-defining businesses.

Six product companies. Each with its own market, customers, and P&L. All built atop the same productized substrate — the Quantum Logic Core™. With more in development.

Shipping today

Quantum Logic Core

A productized quantum-logic engine

seQure

QLC

Hyper
Intelligence™

QLC

Storage
Platform

QLC

Maritech

QLC

Applied Ocean
Sciences

QLC

Prepaire™

QLC

and the next onesbuilt on the same core

The Moment  /  03

Promise has a production deadline.

AI is no longer constrained only by model quality. It is constrained by data-center capacity, power availability, cooling, chip utilization, and the security architecture required to operate critical systems at global scale. Because our logic now runs on standard silicon, it works today. The advantage is making deployed infrastructure do more useful work per watt — with trust built into the compute layer.

Data-center buildout
2025 2030E
945TWh

Data centers are becoming grid-scale infrastructure.

Global data-center electricity use is projected to roughly double by 2030, reaching a level comparable to the annual power consumption of a major industrial nation. AI's bottleneck is shifting from algorithms alone to the energy, cooling, and orchestration required to keep intelligence online.

IEA · Energy and AI · 2025

Power constraint
'19 '25
17%

Demand is rising faster than the grid was built to absorb.

Data-center electricity demand surged in 2025 while AI-focused facilities grew even faster. The answer cannot be more hardware alone; it has to include better scheduling, higher utilization, leaner inference, and optimization on the chips already in use.

IEA · 2026 electricity update

Security horizon
CONTINUOUS 24/7
24/7

The future of security is continuous.

AI operations now touch defense, finance, health, logistics, energy, and sovereign data. Security has to move from perimeter checks to always-on anomaly detection, cryptographic agility, identity-aware controls, and real-time policy enforcement.

NIST · CISA Zero-Trust guidance

The Record  /  04

Measured by what the field cites, builds, and validates.

A snapshot of the team's published, patented, and peer-reviewed work — sustained over a decade of research and operations. Verifiable. Reproducible. On the public record.

65,333
Citations across leading scientific journals — the global research community building on the team's work.
Cumulative · 2014–2026
1,218
Peer-reviewed papers in optimization, machine learning, quantum computing, and applied mathematics.
Authored · Co-authored
26
Patented technologies spanning quantum computing, AI architectures, and computing infrastructure.
Issued · Pending
2
World records in computational benchmarks — independently verified, reproducible, and held by the team.
Verified · Defensible

The Stack  /  05

Two pillars. One company.

A productized engine that ships revenue today, paired with a moonshot computing paradigm aimed at the next century. The first funds the second. The second changes everything.

Shipping today · Revenue-bearing

Quantum Logic Core

QLC · A productized quantum-logic optimization engine

A drop-in computational layer that solves combinatorial, scheduling, and resource-allocation problems at scales where classical solvers fail. Hardware-agnostic. Cloud-deployable. Already in production with defense, logistics, maritime, and life-sciences customers.

  • FormSoftware engine + cloud API + on-prem container
  • SubstrateClassical hardware today, quantum-ready tomorrow
  • FoundationDecades of metaheuristic research from Dr. Fred Glover's lineage
  • StatusGenerally available · 2025 onward
The moonshot · R&D phase

POSTBIT

A new computational primitive — beyond the binary

If the transistor gave us the digital era, and the qubit promised the quantum era, POSTBIT is the third — a computing paradigm engineered for the ubiquity of intelligence itself. We frame it the way Tesla framed electricity: not a product, but a substrate the next century is built on top of.

  • VisionA unified compute primitive for AI workloads at planetary scale
  • InputsQuantum mechanics · machine learning · combinatorial mathematics
  • HorizonMulti-decade · ubiquitous intelligence utility
  • PostureConfidential · select investor & sovereign briefings

What the core does

Five operational modes. One substrate.

The Quantum Logic Core is not a benchmark engine. It is a deployable computational substrate — five distinct capabilities that compose into the operating systems our portfolio companies sell.

i.
Optimize
Constrained decisions at scale. Route, allocate, schedule, detect, and plan across high-dimensional systems where brute force fails and approximation costs lives, dollars, or both.
ii.
Detect
Signal from noisy environments. Identify anomalies, correlations, and operational risk in live data streams at mission speed — the same architecture validated by the U.S. Army for cybersecurity anomaly detection.
iii.
Model
Physical systems, end-to-end. Bring rigorous domain science into AI workflows — oceans, climate, biology, materials, infrastructure, and battlespace — where statistical models alone leave too much to chance.
iv.
Deploy
With sovereignty. Run across cloud, sovereign, on-prem, and edge environments — engineered for security, compliance, and data-residency as first-class architectural constraints, not afterthoughts.
v.
Bridge
Today to quantum tomorrow. A hardware-aware, hardware-agnostic architecture designed to produce operational value before fault-tolerant quantum is ubiquitous — and ready to absorb that hardware the moment it arrives.

Validated  /  06

Proof, in the federal record.

Capability is not sold from a deck. It is measured, validated, and entered into the public technical record. Three artifacts of that record — two from the U.S. Army, one from the U.S. Patent Office — anchor the work.

U.S. Army Validation Report DTIC · AD1180411
1,000× Faster than any known cybersecurity anomaly detection

Quantum + classical anomaly detection at 120 million inferences per second.

ENTANGLEMENT — LEGACY DETECTION — (seQure) < 1 SEC HOURS DAYS NEVER
Dramatically faster and more accurate cybersecurity anomaly detection capability — with far fewer false positives — than any known technology. — U.S. Army Validation Report, Office of the Secretary of the Army

Validated under a CRADA (Cooperative Research & Development Agreement) with the U.S. Army Analytics Group. The report confirms Entanglement's hybrid quantum-classical architecture as the world's fastest QUBO solver — surfacing threats in under a second where legacy systems take hours, days, or miss them entirely. Deployed for real-time detection at network scale, on Groq tensor processors.

QUBO solver Hybrid quantum + classical Real-time inference U.S. Army CRADA

U.S. Army Validation Report DTIC · AD1116959

Nationwide logistics optimization at combinatorial scale.

14h Army · supercomputer
29s Entanglement · single chip

Validated under a Cooperative Research & Development Agreement with the U.S. Department of Defense. Entanglement modeled equitable nationwide allocation of pandemic-era Personal Protective Equipment across emerging hotspots — a high-dimensional supply-and-demand problem at the edge of classical computability. What the U.S. Army was running in up to 14 hours on a supercomputer, Entanglement resolved in 29 seconds on a single chip, outperforming a comparative Evolutionary Algorithm by 90% on overall allocation efficiency.

Combinatorial optimization Resource allocation Quantum-Logic based solver DoD CRADA

U.S. Patent — Granted US 12,367,458 B2

Method and Apparatus for Logistics Management Using Quantum Computing.

A foundational, broadly-scoped patent covering the application of quantum and quantum-inspired optimization to logistics, supply chain, scheduling, and routing — the operational backbone of every defense, maritime, and commercial logistics network. Issued to Entanglement, Inc.

Logistics optimization Supply chain & routing Foundational IP

The Portfolio  /  07

Product companies, built to ship.

Each product company has its own market, customers, GTM motion, and P&L — built atop the shared Quantum Logic Core™. Together they compound a single thesis: hard problems need engineered intelligence, not generic AI.

01 · Originate
Frontier problems
Start where ordinary computation is too slow, brittle, costly, or unverifiable to be trusted.
02 · Build
Product companies
Stand up businesses with dedicated customers, teams, GTM, and P&L around specific vertical markets.
03 · Compound
Back into the core
Deployments produce data, IP, and infrastructure that strengthen the core and seed the next company.
AI Infrastructure ● Operating
Hyper Intelligence™ AI INFRASTRUCTURE · OPTIMIZATION

Optimization for AI training, inference, and data-center efficiency — engineered to reduce compute waste while improving throughput, assurance, and infrastructure performance at the scale where AI economics actually break.

Sovereign Data · PQC ● Operating
ENTANGLEMENT Storage Platform

A regionalized AI and HPC data layer combining quantum logic, post-quantum cryptographic security, and scalable storage for sovereign clouds and regulated workloads — engineered for the cryptographic deadline now landing on every government and regulated enterprise.

Maritime Intelligence ● Operating
Maritech INTELLIGENCE SYSTEMS

Nothing crosses water unseen. MIST™, HX-1, and MADEN™ fuse remote sensing, in-situ data, ocean acoustics, and quantum-logic AI for persistent maritime awareness — ocean conservation, port security, commercial shipping, and sovereign defense.

Acoustics & Ocean Modeling ● Acquired · 2025
Applied Ocean SCIENCES · ACQUISITION

Deep expertise in ocean acoustics, environmental science, maritime operations, and large-scale sensing — now integrated into Entanglement's ocean intelligence platform as the sensor-and-physics foundation beneath Maritech.

Biosurveillance & Public Health ● Operating
Prepaire™ PUBLIC HEALTH INTELLIGENCE

Public health intelligence for earlier detection and response to pathogens, outbreaks, environmental risks, and biological threats — fusing real-time data streams with quantum-logic modeling to compress the time between signal and response.

The Standing  /  08

Where the field is defined, we have a seat.

Entanglement is a founding member of the institutions writing the U.S. national strategy on quantum and AI. We have chaired the working groups. Our papers anchor the roadmaps. This is the room.

Founding affiliations

  • i.
    Quantum Economic Development Consortium QED-C · founded under the U.S. National Quantum Initiative Act
  • ii.
    Quantum Industry Coalition The principal industry voice shaping U.S. quantum policy
  • iii.
    Center for Quantum Technologies The first NSF-funded Quantum IUCRC
  • iv.
    International Quantum AI Workshop Co-organizer of the first U.S. convening at this intersection

Strategic partners

Oracle
Cassava
NSF · IUCRC
U.S. DoD
QED-C
QIC

+ Select sovereign & agency relationships under NDA

Principal researchers

Dr. Fred Glover
A foundational figure in metaheuristics and combinatorial optimization. Originator of Tabu Search. Recipient of the John von Neumann Theory Prize. Member of the U.S. National Academy of Engineering.
NAE
Dr. Tony Cox
Decision science, risk analysis, and applied AI. Author of the foundational text on quantitative risk assessment, with deep work spanning regulatory, defense, and life-sciences applications.
Principal
+ Research Team
A bench of mathematicians, physicists, and engineers — many recruited from the national labs and tier-one research universities.
Worldwide

Capital structure

A Venture Yield Engine — research compounds into operating companies, operating companies compound into infrastructure.

The parent company allocates capital, IP, and scientific leadership across its portfolio. Each operating company is structured to attract its own strategic investment while contributing back to the core research engine.

For investor materials, request the executive briefing.

Stack Partners  /  09

What runs underneath.

The companies whose hardware, cloud, and infrastructure carry the Entanglement stack — from quantum cryogenics to sovereign cloud. Selected for capability. Engaged at the engineering level.

Dispatches  /  10

Recent signal.

View the full press archive

Engagement  /  11

The next layer of compute is being built now.

Investors, sovereign principals, defense and intelligence leadership, scientific collaborators, and operating talent — we read every inbound. Brief us with what you need solved.