What WE do

THE ARCHITECT OF INDEPENDENT AI

We design sovereign AI architectures that are built on trust, transparancy, and independence. We help organizations take back control of their AI future, from data governance to intelligent automation.

EIGENVECTOR builds the architecture of independent intelligence.

With transparancy, control and conviction.

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our Services

The building blocks of independent intelligence.

Strategy & Architecture

We architect the blueprint for sovereign AI, from vision to technical reality. Our work spans data architecture, model pipelines, governance frameworks, and platform design.

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Governance & Control

Governance isn’t paperwork, it is code. We hardwire accountability, traceability, and auditability into every layer of your AI stack. Compliance becomes architecture, not an afterthought.

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Engineering & Automation

From data ingestion to continuous delivery, we help you build the entire model lifecycle – transparent, measurable, and entirely yours.

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Data Science & Model Ops

We turn models into systems. Data science becomes production when every model is transparent and observable from the start. Built for independence, governed by design.

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Posts

Welcome to the part of the internet where we don’t worship the algorithm, we take it apart, study the moving pieces, and rebuild it on our own terms.

  • Why your AI sovereignty strategy is failing (And how to fix it)

    “In the age of artificial intelligence, sovereignty is no longer defined by borders on a map, but by bits in a data center. Those who control AI will shape the future; those who depend on others’ AI will have their futures shaped for them.” This isn’t science fiction. This is the new reality for every…

discover our playbooks

Build, Govern, and Evolve Intelligence

Explore the frameworks, research, and architectures that power sovereign AI. Each module is a practical gateway to systems that are autonomous, governed, and entirely yours.

Playbooks for sovereign AI

Practical playbooks for architects and engineers.

From data pipelines to agent orchestration, every pattern is designed to build AI that runs under your control.

The Independent AI Architecture

A sovereign AI architecture connecting infrastructure, data, models, agents, and applications under unified governance.

Research and Insights

Research, analysis, and engineering insight from the Eigenvector team.

Deep dives into architectures, governance models, and the economics of sovereignty.

inspiration →

The Souvereign AI Briefings: Inspiration for Builders of Independence

A series of short briefings from the Eigenvector team, where we explore the architectures, principles, and technologies that are defining the next era of independent AI.

Each session distills a key idea, like decentralised compute to agentic orchestration and governance by design.

What folks are saying about EIGENVECTOR ↓

Delta Fiber – AI Strategy

“Eigenvector helped us turn AI from experimentation into a strategic capability. Their architecture gave structure to chaos, connecting data, governance, and automation into one coherent AI vision.”

Kai Willmott

CEO

Ministry of Justice – AI Assistant

“In a landscape where trust and compliance define legitimacy, Eigenvector’s sovereign AI frameworks gave us both. We can now innovate without surrendering control over our data or infrastructure.”

Cate Moony

Head of Innovation

ASML – Data Center Intelligence

“Eigenvector approached our data center challenge like system architects, not consultants. They designed an AI operations layer that makes compute, data, and governance work as one self-monitoring organism.”

Nate Willmott

CDO

FAQs

How does Eigenvector design sovereign AI architectures?

We start from first principles, mapping infrastructure, data, models, and governance. Every solution is engineered to run independently, under your control, without external dependencies.

What makes an AI system “sovereign”?

Sovereign AI means that your full stack – infrastructure, data, models, and logic, operates within boundaries you define.

It’s AI that can act autonomously without surrendering ownership, compliance, or transparency.

Can existing systems be made sovereign?

Yes. We retrofit sovereignty into existing infrastructures. Through layered governance and architectural redesign, even legacy environments can operate under sovereign control.

Does everything need to be sovereign?

No. Only the parts that are critical to your operations, data, or compliance. During the strategy phase, we identify which components must remain under your control, and which can safely rely on external services.

Can I still be sovereign if I use Microsoft or other cloud vendors?

Yes. Sovereignty doesn’t mean isolation. Even if you’ve chosen a strategic vendor, you can still enforce control over your infrastructure, data, and models. We help define clear governance boundaries and negotiate access or audit rights for the data centers where your systems operate.

How does governance fit into technical architecture?

Governance is not a layer we add, it’s the logic that connects every layer. We build governance as code: measurable, traceable, and executable within your architecture.eds.

Do you build or only advise?

We strategize, architect, manage and build. Our teams include strategy and governance consultants, project- and change managers, data engineers, ML engineers, and automation specialists who turn governance frameworks into running systems.

How do we start working with Eigenvector?

We begin with a strategy & architecture assessment: mapping your ideas and your current data, models, and automation landscape. From there, we co-design a blueprint that scales sovereignty across your entire AI lifecycle.

Consultation →

Own your intelligence

Book a discovery session and learn what sovereign AI means for your organization.