OUR SERVICES

EIGENVECTOR is the partner for organizations that want to take their AI future into their own hands.
We believe that true innovation is only sustainable when organizations retain full control over their data, technology, and strategic direction.

With a unique combination of strategic insight, deep expertise in AI technology, and knowledge of European regulation, we help organizations build their own AI capabilities, independent of Big Tech and fully aligned with their objectives.

Our approach is pragmatic and future-oriented: we help organizations innovate independently and sovereignly.
By connecting strategy, technology, and cultural change, we realize sustainable digital autonomy, accelerated innovation, and minimized risks.

Services

We help organizations embed AI sustainably into their structure and culture. From governance and roles to training and change management — ensuring AI becomes an integrated, efficient, and human-centric part of daily operations.

European Collaboration & Strategic Partnerships

We actively collaborate within the European AI ecosystem, joining initiatives like GAIA-X, ELLIS, and CLAIRE, contributing to shared standards, and building partnerships with European tech firms to create sector-wide sovereign AI infrastructure in areas such as healthcare, government, and education.


Turn Your Sovereignty Vision Into Practice

At Eigen Vector, we help organizations turn AI sovereignty from vision into practice.
From strategic scans and roadmap design to organizational transformation, we provide the frameworks, governance models, and architectures needed to build independent, compliant, and future-proof AI capabilities, fully aligned with European values and regulations.

AI Sovereingty Audit (Scan)

Goal: Identify current dependencies (cloud providers, software, AI models, data flows) and risks.

Services:

  • Inventory of data and model flows (internal vs. external)
  • Governance maturity check
  • Risk and impact analysis, including legal, compliance (GDPR, AI Act, NIS2, IP rights, etc.), ethical aspects, and security

Deliverable: Report – “AI Sovereignty Quickscan”

AI Strategy & Roadmap

Goal: Establish a clear vision and roadmap for AI transformation that safeguards control.

Services:

  • Vision and roadmap development
  • Workshop series with executives and stakeholders: What does AI mean for our mission, policy, and strategy — and how do we maintain control?
  • Definition of strategic goals and policy
  • “Make, Partner, or Buy” strategy for AI components
  • Open source vs. proprietary trade-offs

Deliverables:

  • Vision document “AI Transformation”
  • Roadmap with milestones, quick wins, and investment needs for phased transformation

Organizational modelling & Change management

Goal: Adapt structure, roles, and culture for sustainable AI adoption — and improve operational efficiency through AI.

Services:

  • Adjust governance structure (AI Board, Ethics Committee, Data Stewardship)
  • Define roles & competencies
  • Training and adoption programs for staff
  • Organizational scan focused on operational excellence (OpEx)
  • Execute change management plan: reduce resistance and implement a lean AI organization

Deliverables:

Change management plan

Templates for DPIAs, risk registers, and ethical assessments

Internal AI Governance Toolkit (roles, guidelines, procedures)


Architecture & Technology Selection

Platform selection

Select, design, and implement AI platforms, data architectures, and supporting tools that not only align with the organization’s strategic objectives, but also ensure long-term sustainability, interoperability, and sovereignty. The aim is to build a resilient technological foundation, one that balances innovation with control, minimizes dependency on external vendors, and remains adaptable to evolving regulatory, ethical, and business requirements.

Model Development & Fine-Tuning

Welcome to a world of limitless possibilities, where the journey is as exhilarating as the destination, and where every moment is an opportunity to make your mark on the canvas of existence. The only limit is the extent of your imagination.

Platform Development

We help organizations develop and own their AI models, fine-tuning open-source systems like LLaMA or Mistral on internal data, implementing secure federated learning, and setting up full MLOps pipelines with model governance, evaluation, and bias audits for safe, compliant experimentation.

AI Development

We build internal AI development capabilities — setting up in-house AI DevOps teams, implementing lifecycle management focused on control, and delivering tailored operating models, maintenance plans, and escalation protocols to ensure sustainable, compliant AI operations.

Data Infrastructure

Sovereign Data Infrastructure

We design and implement sovereign data infrastructures, with on-premise or European cloud solutions, fully controlled data lakes, privacy-preserving technologies, and zero-trust security architectures that ensure data remains local, secure, and compliant.

Data Governance

We establish robust data governance and compliance frameworks, defining ownership, access, and lifecycle management while aligning with EU regulations such as GDPR, the AI Act, and NIS2. Our support includes full preparation for audits, certifications, and impact assessments to ensure lasting compliance and accountability.

Governance

Operational Support & Managed Services

We provide ongoing operational support through an AI Transformation Office that ensures progress on strategic goals, monitors key KPIs, and maintains AI performance, including continuous model upkeep, security updates, and retraining to keep systems efficient, secure, and compliant.

AI Governance

We help organizations design and implement an AI governance framework aligned with IAMA (Impact Assessment for Algorithms) and ISO/IEC 42001, the global AI management standard. Our approach ensures transparency, accountability, and compliance while preserving sovereignty, embedding ethical, legal, and operational controls across the entire AI lifecycle. This includes defining governance roles, establishing audit-ready documentation, and integrating responsible AI principles directly into daily operations.

Strategic Partnerships

We form strategic partnerships with European technology firms and sector consortia — building shared, sovereign AI infrastructures for domains like healthcare, government, and education, reducing dependency on Big Tech and strengthening Europe’s digital autonomy.

Workshops & Training

AI Literacy Workshops

We strengthen AI capability and culture through tailored training and leadership programs, from executive strategy sessions to hands-on MLOps and AI literacy workshops. By fostering internal communities and connecting to European open-source ecosystems, we build lasting knowledge, ethical awareness, and organizational sovereignty.

AI Sovereignty Executive Training

We offer a two-day AI Sovereignty Executive Training that equips leaders with the strategic, economic, and technical insight to build sovereign AI capabilities. Executives learn to quantify risks, design compliant architectures, and develop action plans aligned with the EU AI Act and national digital-sovereignty goals.

AI | ML Training for Non-Techies

Our AI & ML for Non-Techies training demystifies artificial intelligence for professionals without a technical background. Participants learn how AI works, where it adds value, and how to make informed, ethical, and compliant decisions in their daily roles. No coding, just clarity, context, and confidence.

AI Literacy Workshops

We strengthen AI capability and culture through tailored training and leadership programs, from executive strategy sessions to hands-on MLOps and AI literacy workshops. By fostering internal communities and connecting to European open-source ecosystems, we build lasting knowledge, ethical awareness, and organizational sovereignty.

AI Governance, IAMA & AI Act

Our AI Governance, IAMA & AI Act training equips professionals to navigate the legal, ethical, and organizational aspects of AI. Participants learn to apply IAMA frameworks, interpret the EU AI Act, and design governance structures that ensure accountability, compliance, and sovereignty in AI operations.

Project Management for AI Projects

Our AI Project Management training helps teams deliver AI initiatives with structure, clarity, and measurable impact. Participants learn how to plan, govern, and scale AI projects, integrating agile methods, risk management, and ethical compliance to ensure successful, sovereign implementation.

Book a free consultation with anyone from our team to see who’s the best fit for you.

Contact

info@eigenvector.eu
+31611333789


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