Runs on the computers you already have.
Encoding, retrieval, and reasoning run on ordinary CPUs. No GPU farms, no accelerator queue, no hyperscaler dependency.
An independent future for intelligence
Entangled Halo encodes your institution’s knowledge into a memory that ordinary CPUs can search, trace, and correct. Private AI you own outright. No GPUs, no training runs, no hyperscaler in the loop.
New thinking.
Decades in the making.
01 / The problem we solve
Today, every institution building on AI is renting it: the GPUs, the models, and the clouds all belong to someone else, and the knowledge flows out one way. Your expertise took years to build. Your AI should make it more valuable, keep it private, and put every decision within reach. That’s why we’re building a new foundation for intelligence.
Built for defense and intelligence, regulated enterprise, and finance.
Encoding, retrieval, and reasoning run on ordinary CPUs. No GPU farms, no accelerator queue, no hyperscaler dependency.
New knowledge is encoded in minutes, not trained over months. When the facts change, you update the record instead of retraining.
Sparse ternary computation replaces dense matrix math. Intelligence at a fraction of the energy, from the datacenter to the edge.
02 / Products
From the documents on your desk to the decisions that move an institution. Find your starting point.
Turn scattered knowledge into an institutional asset. Retrieve facts, understand the evidence, and keep human judgment in command.
The March audit identified a delivery risk. The procurement team moved the supplier to watch status.01
Illustrative workflow / HaloCore Generation 10 + L3M
Organizations with knowledge to preserve
Data, decisions, governance, and deployment
One important knowledge workflow
Keep knowledge, understanding, action, and deployment connected. Start with the layer that solves your immediate problem.
Designed forKnowledge, operations, risk, and research teams
Encode facts and records into a shared factual memory. Retrieve knowledge with its source, score, and correction history, and keep separate data collections under their own accuracy thresholds.
People can teach, correct, reinforce, or delete knowledge. The record preserves where information came from and how it changed.
A supplier is moved to watch status. Six months later, a new team can recover the decision, the supporting audit, and the reviewer’s correction instead of reconstructing the reasoning from email.
A decision record with evidence and a human correction trail.Designed forAnalysts, operators, leaders, and domain experts
Ask questions across the knowledge collections held in HaloCore Generation 10. L3M composes a readable response from that record, with claims connected to their supporting sources.
Your experts stay involved. Teach and correct in plain language, review the evidence behind an answer, and govern changes to institutional knowledge.
A leader asks, “What changed in supplier risk this quarter?” The team can inspect the risk register, contract amendment, and audit note behind the answer before deciding what to do.
An understandable answer with a path back to its evidence.Designed forTeams exploring controlled, auditable agent workflows
The in-development design connects budgeted skills and tools under shared policy. Findings are labeled as grounded, report, proposal, or discovery, and runs retain a step-by-step budget trace.
Proposed knowledge is quarantined for review. A suggested policy change does not silently become an institutional fact in HaloCore 10.
A compliance team scopes a review of vendor agreements. The proposed workflow reads within its budget, distinguishes evidence from interpretation, and presents a policy update for human approval.
A proposed action with its evidence, status, and execution trace.Designed forInfrastructure, sovereign enterprise, and edge teams
Explore four deployment patterns: Halo DC, Edge DC, Entangled DC, and Edge-to-Edge. Place the holographic knowledge foundation in a datacenter, at a regional edge, or in a disconnected field environment.
Deployment boundaries, local knowledge, and federation remain part of the architecture discussion. The design separates remote computation from material retained at the edge.
An institution needs regional teams to use operational knowledge without putting every workload into one shared vendor environment. SUBSPACE provides the deployment patterns to evaluate.
A deployment plan aligned with your data and connectivity requirements.A security portfolio built on holographic computation. Protect communications, connect fragmented histories, and make emerging threats explainable.
Illustrative risk signal / Explainable by design
Security, investigations, and risk teams
Evaluation, review, and response policies
Your threat model or investigation workflow
Three complementary products address different parts of an investigation and security architecture.
Designed forSecurity architects and communications teams
Oneshot explores communications security through holographic noise signatures and channel opacity. It is the cryptographic foundation of the security portfolio, with a future hardening path for portfolio transport.
Start with your communications threat model, deployment constraints, and integration requirements. Review the documented design with your security team.
A team evaluating long-lived sensitive communications needs to understand what an observer can capture from the channel. Oneshot makes the transmission layer the focus of that evaluation.
A concrete security architecture to assess against your threat model.Designed forDigital-asset operations, analysts, and risk teams
Bring main-chain and side-ledger position history into a continuous holographic graph. Investigate the relationships between transactions and examine contract vulnerabilities alongside the history they affect.
Analysts can follow the structure of an investigation across ledgers instead of treating each explorer view as an isolated answer.
A position moves through a main chain, two side ledgers, and several contracts. An investigator needs the full sequence to understand where exposure accumulated and which contracts deserve review.
Connected history to support investigation and risk assessment.Designed forFraud operations, financial intelligence, and risk teams
Represent transaction flows as sparse ternary vectors and identify anomalous routing patterns. The emphasis is on explainable signals: the pattern, relevant precedent, and evidence an investigator can review.
A detection supports a human investigation. Review the evidence and apply your institution’s escalation and decision policies.
A sequence of payments takes an unusual route across accounts. The investigator needs to see the connections and the reason the pattern was flagged before deciding how to respond.
A reviewable alert with structural context for an investigation.Bring frontier AI to your documents with HaloVault, the AI Lockbox. Your raw files stay on your device. Sensitive details are masked, and you review the protected context before sending.
Agreement with Alex Morgan at Northstar Labs. Contact: alex@example.com.
Interactive illustration / No data is sent
Individuals, professionals, and teams
Documents, model choice, and outgoing context
The paperwork you need to understand
Understand what stays local, what can be shared, and where your approval fits into the workflow.
Designed forIndividuals, client-facing professionals, and teams
Keep PDFs, scans, spreadsheets, presentations, and notes in a local lockbox. Build useful context from those documents, mask sensitive details, and review the protected copy before sending it to a supported frontier chat service.
Raw files stay on your device. You choose the model and approve the outgoing context. The selected AI service’s policies apply to the information you send.
Before preparing a client proposal, review a protected summary of the brief with names, contact details, and identifiers masked. Send only the context you approve, then review the resulting draft.
Useful AI assistance with an explicit review point for private information.03 / How it works
Entangled Halo is the holographic computing foundation beneath every product. It encodes knowledge into mathematical structures that can be retrieved, traced, and corrected. Built for knowledge you need to trust.
Documents, records, images, and expertise. The information that makes your organization yours.
Add knowledge directly to a mathematical memory. Core encoding runs on ordinary CPUs.
Retrieve knowledge with its origin and correction history. You can inspect where an answer came from.
Ask in natural language. Review the evidence. Teach and correct the knowledge that guides your decisions.
YOUR DATA → ENTANGLED HALO ENCODING → HALOCORE 10 MEMORY → L3M INTERFACE
ONE FOUNDATION. HUMAN CONTROL AT EVERY LAYER.
The architecture, measured
Encoded facts
Two billion facts in one foundationResponse time
At 2 billion encoded factsRecall
Source-bound, first-result retrievalHallucinations
Structurally non-hallucinating · CPU-native, no GPUsInternal measurements on a 10-core CPU laptop with 64 GB RAM. Workload and hardware affect performance. Read the methodology
04 / Deployment
From your own datacenter to the edge of the network. SUBSPACE brings the Entangled Halo foundation to your environment, with deployment options for sovereignty, federation, and disconnected operation.
Discover SUBSPACE05 / In practice
See how the products fit a real workflow: what you start with, what the technology does, and what your team can take forward.
Make operational knowledge useful across teams and over time. Begin with a recurring decision that currently requires people to reconstruct the same history.
“Why did this supplier move to watch status, and what changed since?”
The supplier audit, risk register, contract amendments, and the team’s reviewed decision record.
HaloCore 10 retrieves the relevant facts and their origins. L3M turns the record into a readable explanation, with sources the team can inspect.
A decision brief the next team can understand, review, and correct before taking action.
Capture reviewed operating decisions and the evidence behind them. New team members can recover the reasoning and ask follow-up questions without relying on one person’s inbox.
Bring approved policy documents and corrections into a governed knowledge base. Teams can trace an answer back to the applicable record and flag gaps for expert review.
Keep reviewed knowledge available across handovers and deployment environments. Plan around the team’s actual connectivity, data boundaries, and human command structure.
“What do we know about this situation, and which observations support it?”
Approved reports, operating procedures, reviewed observations, and the history of human corrections.
HaloCore 10 organizes factual memory while separate knowledge collections retain their own thresholds. L3M supports source-based review; SUBSPACE provides deployment patterns to evaluate.
A source-backed briefing for an authorized operator, with a path to sovereign or disconnected deployment.
Preserve reviewed observations and the reasons behind earlier decisions. Incoming personnel can inspect the record and identify what needs fresh validation.
Evaluate an Edge-to-Edge deployment for approved field knowledge. Define the available data, update process, and operating boundaries before deployment.
Support investigators and risk teams with a clearer factual record. Review how a decision was reached, how a position evolved, or why a transaction pattern needs attention.
“What changed in this counterparty’s risk, and what is the evidence?”
Reviewed risk decisions, supporting documents, transaction histories, and analyst corrections.
HaloCore 10 and L3M support the institutional decision record. For specialist investigations, Continuity connects ledger history and Finsight surfaces structural transaction anomalies.
A review pack with supporting history and traceable signals, ready for the institution’s human decision process.
Follow a position through main-chain and side-ledger activity with Continuity. Examine the connected history and associated contracts to understand where further investigation is needed.
Use Finsight’s structural signals as an input to investigation. Analysts review the routing pattern and supporting evidence before applying escalation or response policies.
Bring the material you already have into a local AI Lockbox. Get help organizing, understanding, and preparing while retaining a review point before any context is sent.
“Help me understand this agreement and prepare the questions I should ask.”
Your agreement, supporting correspondence, and related notes, kept in the local HaloVault lockbox.
Build relevant context, mask personal or client details, and inspect the protected copy. Send only what you approve to a supported frontier chat service.
A draft summary and a better set of questions to review with the right professional or colleague.
Organize visit summaries and personal notes, then use reviewed, protected context to prepare questions. The AI supports preparation; the professional guides the decision.
Work from a client brief and supporting documents. Mask identifiers, review the shared context, and use the resulting draft as a starting point for your own review.
06 / Proof
Encoding, retrieval, provenance, and the benchmarks behind the architecture.
Explore the design, deployment modalities, and what stays under your control.
A guided introduction to holographic computing.
07 / Team
Based in Palm Beach, Florida. A team bringing decades of experience in supercomputing, cybersecurity, financial systems, and public-sector strategy to one conviction: intelligence should belong to you.

Supercomputing, biometrics, defense, and cybersecurity. 123 patents.

AI, quantum, and cloud. Former Sr. Technology Director of Research at JPMorgan Chase. 77 patents.

Public- and private-sector strategy. Served under five U.S. Presidents.

25+ years advising high-tech, fintech, and financial services. Former C-suite at Hoyos Group.
The names
We store your knowledge the way a hologram stores a picture: as overlapping waves, not as pixels in slots. The math is the math of light, which is why it runs on ordinary CPUs today and why compute-in-light is the natural destination.
What people get wrong: they assume you need photonic hardware today for the name to be honest. You don’t. The architecture is holographic. The first implementation is software on CPUs. The destination is compute-in-light. The name names the geometry, not the current chassis.
Shine light through a point and you get a ring around it. We do the same with facts: we arrange every fact in a ring around the thing it describes, all overlapping, all at once. Ask about the subject and the whole ring lights up.
What people get wrong: they hear “entangled” and think quantum. It is simpler than that. We bind each fact into the ring with a key. Without the key, the ring is a pattern nobody can read. Not us, not a cloud, not a subpoena. Entangled means the fact and the key can’t be separated. That is the whole privacy story in one word.
A little more clarity
We build software and infrastructure on Entangled Halo, our holographic computing foundation. The portfolio includes HaloVault for private use of frontier AI, HaloCore Generation 10 for institutional memory, L3M for source-bound conversations, SUBSPACE for sovereign deployment, and holographic security applications.
It means your organization controls its data, knowledge, decisions, compute, governance, and strategic direction. Deployment can be in your own environment, including sovereign datacenters and disconnected edge systems.
No. HaloVault is designed to work with frontier models, while the institutional stack adds a factual memory and governance layer. We can discuss how the architecture fits your current tools and requirements.
The core Entangled Halo encode-and-retrieve engine is CPU-native. The zero-GPU claim applies to that core computation. Your complete deployment, including any external model you choose to use, may have different infrastructure requirements.
HaloAgent is the in-development action layer: budgeted skills, shared policies, labeled findings, and auditable run traces. Proposed knowledge is quarantined for review rather than automatically becoming institutional fact. Contact us to discuss the roadmap.
Start a conversation about the workflow you want to improve, where your data lives, and what control means for your organization. We’ll help identify a relevant product and the right technical next step.
To try HaloVault today, add it to Chrome from the Chrome Web Store, or see every way to install our products.
The next chapter is yours
Bring us your hardest knowledge problem. Let’s explore what intelligence under your control could make possible.
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