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An independent future for intelligence

Intelligence.
In your
hands.

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.

200+patents across
our leadership
150+combined years
of deep-tech R&D
25scientists
and engineers

01 / The problem we solve

The most valuable intelligence
is the kind you can call your own.

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.

01 — NO GPU

Runs on the computers you already have.

Encoding, retrieval, and reasoning run on ordinary CPUs. No GPU farms, no accelerator queue, no hyperscaler dependency.

02 — NO TRAINING

Encode knowledge. Don’t train a model.

New knowledge is encoded in minutes, not trained over months. When the facts change, you update the record instead of retraining.

03 — LESS POWER

Significant power savings.

Sparse ternary computation replaces dense matrix math. Intelligence at a fraction of the energy, from the datacenter to the edge.

02 / Products

One foundation.
Your next advantage.

From the documents on your desk to the decisions that move an institution. Find your starting point.

  1. Entangled Halothe foundation
  2. HaloCore 10institutional memory
  3. L3Mthe conversation layer
  4. HaloAgentgoverned action
  5. SUBSPACEdeploy it anywhere
  6. Security portfolioOneshot · Continuity · Finsight

For organizations that need to know

Your institution.
With a lasting memory.

Turn scattered knowledge into an institutional asset. Retrieve facts, understand the evidence, and keep human judgment in command.

HaloCore 10 / Institutional memory ● SOURCE-BOUND
Why did we change this supplier’s risk rating?

The March audit identified a delivery risk. The procurement team moved the supplier to watch status.01

SourceSupplier audit / March
RecordDecision log · DR-4471
Entered byProcurement team
Reviewed byRisk lead
↳ Provenance attachedHUMAN REVIEWED ✓

Illustrative workflow / HaloCore Generation 10 + L3M

Built for

Organizations with knowledge to preserve

You control

Data, decisions, governance, and deployment

Start with

One important knowledge workflow

Explore the intelligence portfolio

An institutional stack. A role for every layer.

Keep knowledge, understanding, action, and deployment connected. Start with the layer that solves your immediate problem.

01HaloCore Generation 10 Institutional memory you can inspect, correct, and keep.Know

Designed forKnowledge, operations, risk, and research teams

What it does

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.

Where you stay in control

People can teach, correct, reinforce, or delete knowledge. The record preserves where information came from and how it changed.

In practice

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.
CPU-native encode and retrieve · Deterministic factual substrate
Read the architecture paper
02L3M · Light LLM A natural-language interface to what your institution knows.Understand

Designed forAnalysts, operators, leaders, and domain experts

What it does

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.

Where you stay in control

Your experts stay involved. Teach and correct in plain language, review the evidence behind an answer, and govern changes to institutional knowledge.

In practice

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.
Built on HaloCore 10 + Entangled Halo · Human-in-the-loop governance
03HaloAgent In developmentA governed action layer, with boundaries people can review.Act

Designed forTeams exploring controlled, auditable agent workflows

What it does

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.

Where you stay in control

Proposed knowledge is quarantined for review. A suggested policy change does not silently become an institutional fact in HaloCore 10.

In practice

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.
In development · Scope and availability by discussion
Understand the roadmap
04SUBSPACE Choose where intelligence lives and how it connects.Deploy

Designed forInfrastructure, sovereign enterprise, and edge teams

What it does

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.

Where you stay in control

Deployment boundaries, local knowledge, and federation remain part of the architecture discussion. The design separates remote computation from material retained at the edge.

In practice

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.
Datacenter · Regional edge · Federation · Disconnected field
Read the SUBSPACE paper

03 / How it works

A new geometry
of intelligence.

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.

01 / Your knowledge

Bring what you know.

Documents, records, images, and expertise. The information that makes your organization yours.

02 / Entangled Halo

Encode. Don’t retrain.

Add knowledge directly to a mathematical memory. Core encoding runs on ordinary CPUs.

03 / HaloCore Generation 10

Find the fact. Keep the source.

Retrieve knowledge with its origin and correction history. You can inspect where an answer came from.

04 / L3M + people

Put understanding to work.

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.

Explore the architecture

The architecture, measured

HaloCore 10 internal benchmarks / 2B facts
2B

Encoded facts

Two billion facts in one foundation
5ms

Response time

At 2 billion encoded facts
96%

Recall

Source-bound, first-result retrieval
0

Hallucinations

Structurally non-hallucinating · CPU-native, no GPUs

Internal measurements on a 10-core CPU laptop with 64 GB RAM. Workload and hardware affect performance. Read the methodology

04 / Deployment

Where you need it.
Under your control.

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 SUBSPACE
SOVEREIGN DCREGIONAL EDGEDISCONNECTED FIELDDEPLOYMENT CONCEPT / SUBSPACE
Halo DC

Your institutional knowledge.
Your sovereign datacenter.

Edge DC

Regional intelligence.
Closer to the mission.

Entangled DC

Federated knowledge.
Independent governance.

Edge ↔ Edge

Field-ready deployment.
Even when disconnected.

05 / In practice

Big decisions.
Solid ground.

See how the products fit a real workflow: what you start with, what the technology does, and what your team can take forward.

Enterprise / From scattered records to shared understanding

Keep the reasoning behind the decision.

Make operational knowledge useful across teams and over time. Begin with a recurring decision that currently requires people to reconstruct the same history.

An illustrative workflow
“Why did this supplier move to watch status, and what changed since?”
  1. 01 / Start with

    The supplier audit, risk register, contract amendments, and the team’s reviewed decision record.

  2. 02 / Put it to work

    HaloCore 10 retrieves the relevant facts and their origins. L3M turns the record into a readable explanation, with sources the team can inspect.

  3. 03 / Take forward

    A decision brief the next team can understand, review, and correct before taking action.

Products & principlesHaloCore Generation 10L3MSUBSPACE

Two more places to begin

Expert handovers

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.

Policy and compliance review

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.

07 / Team

A new frontier.
Experienced hands.

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.

Hector Hoyos

Hector Hoyos

Chairman & CEO

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

Kevin McNamara

Kevin McNamara

Chief Technology Officer

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

Paul J. Manafort

Paul J. Manafort

Chief Strategy Officer

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

Peter Majar

Peter Majar

Chief Financial Officer

25+ years advising high-tech, fintech, and financial services. Former C-suite at Hoyos Group.

The names

Why Photonics

“Photonics” isn’t marketing for fiber.

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.

Why Halo

“Halo” isn’t a logo shape.

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

Good questions.
Clear answers.

What does Mjolnir actually build?

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.

What does “sovereign intelligence” mean?

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.

Do we need to replace our existing AI?

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.

Does the technology really run without GPUs?

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.

Where does HaloAgent fit?

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.

How do we get started?

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

Own what
comes next.

Bring us your hardest knowledge problem. Let’s explore what intelligence under your control could make possible.

OR INFO@MJOLNIRPHOTONICS.COM

Let’s build your next advantage

Start with your ambition.

Tell us where you want to go. We’ll help you find the right starting point.

Opens a draft in your email app addressed to info@mjolnirphotonics.com. You review and send it.

Intelligence at the edge