Sovereign AI Stack · Deployed on Your Infrastructure

Your AI

We deploy a complete, sovereign AI stack on your infrastructure. After handover, you own everything: the deployment, the data, the future.

AI Is Everywhere. But Is It Working for You?

Most businesses face the same three challenges when it comes to AI adoption.

Your team uses AI...

...unofficially. Employees share data with cloud AI tools, use unvetted services, and nobody knows what's safe. You need guardrails, not bans.

You know AI can help...

...but where do you start? Every vendor promises transformation. But you need something practical: a focused project that delivers value this quarter, not a 12-month roadmap.

Regulation feels like a blocker

GDPR, EU AI Act, BDSG: it sounds like a reason not to adopt AI. But with the right approach you can turn regulation into a competitive advantage.

How We Approach It

Three principles behind every solution we deliver.

Sovereign by Design

Your data stays in your infrastructure. On-prem or EU-hosted cloud, nothing leaves your control without your explicit decision.

Compliance First

GDPR and EU AI Act requirements are designed into every layer from the start, not bolted on later. Access controls, data flows, and logs.

Full Handover

A defined engagement that ships in weeks, not quarters. When we're done, you own the full stack: deployment, models, and data. Fully under your control.

Built With

Docker
Kubernetes
OpenShift
n8n
Ollama
Nvidia
Python
Linux
Git
Ansible
Podman
Ubuntu
GitLab
Hugging Face
LangChain
Grafana
Prometheus
Nextcloud
Make
Zapier
Milvus
pgvector

What We Build

Real examples of how AI and automation solve everyday business problems.

Challenge

Manual invoice processing eats 20+ hours a week

What We Build

AI-powered document extraction — invoices, contracts, and forms processed automatically

Result

80% less manual data entry

Challenge

Knowledge scattered across dozens of PDFs, emails, and shared drives

What We Build

A RAG system that lets your team chat with company documents — with source citations

Result

Instant answers, no more searching

Challenge

Five tools, zero integration, constant copy-paste between systems

What We Build

n8n workflow automation connecting your tools — with AI-assisted processing at each step

Result

End-to-end processes that run themselves

How the Engagement Works

Three steps from first conversation to your team taking the controls.

1

Discover

We assess your environment and target use cases. The output: a clear picture of what you have and what you need.

2

Deploy

We install, configure, and integrate the AI stack on your infrastructure, in your environment.

3

Handover

Full documentation, runbooks, and operator training. Your team takes the controls.

Ready to gain control over your AI?

A free initial consultation is the fastest way to assess whether and how a dedicated AI solution can be implemented for your business. Secure, independent, and tailored to your needs.

Book a Discovery Call

Strategic Partnership

Compliance Has Two Sides

A sovereign AI deployment has to hold up technically and legally. We cover one side. Aginom covers the other.

Ventori · The Technical Side

We deploy a stack built to be audited from day one. Hardened OS, container-isolated workloads, documented data flows, and inference logs your team can inspect. The configuration your data protection officer and auditors need to see.

Aginom · The Legal Side

Aginom is a law firm specializing in AI and IT regulation. They advise on what GDPR and the EU AI Act actually require of your organization — where the obligations apply, and how to turn regulatory pressure into a competitive advantage.

"Agile Legal Solutions for a Digital World"

Visit aginom.com →

Frequently Asked Questions

Cloud AI tools are useful for many workloads, and we are not telling you to stop using them. But they come with tradeoffs that matter for certain data and processes:

  • Your data is processed on their infrastructure, under their terms
  • Pricing, model behavior, and access can change without much notice
  • Integrating with internal systems usually means sending data across network boundaries
  • For regulated data, client records, or anything an auditor will eventually ask about, you need control end-to-end

If those tradeoffs are acceptable for your use case, cloud AI is fine. If they are not, a sovereign stack is the answer: comparable capability, on infrastructure you own.

It depends on your workload and team size. The stack runs across a wide range of configurations:

  • Small teams and pilots: a capable client device or a single GPU server is often enough to start
  • Growing deployments: one or two production-grade GPUs handle most RAG and automation workloads
  • Production scale: multi-server or cluster configurations for high concurrency and larger models

We size your setup during Discover based on your actual use cases and performance targets. If you already have infrastructure, we work with what you have.

The stack keeps your data on your infrastructure:

  • Models, prompts, files, and inference logs never leave your environment
  • Air-gap capable by design — no outbound dependencies required for operation
  • Access controls, data flows, and audit logs are kept in the design from the start, giving you the technical foundation to demonstrate GDPR and EU AI Act compliance

The technical side is ours. For formal legal sign-off, we work with Aginom — our partner for the regulatory layer.

We do not publish rates because every deployment starts from a different environment and set of requirements. What we do commit to:

  • Fixed scope and fixed price, agreed before any work begins
  • No open-ended engagements, no surprise invoices

The fastest way to a concrete number is to .book a discovery call.

Deployment is fast because the scope is fixed. A typical timeline:

  • Discover and Design: 1–2 weeks
  • Deploy: 2–4 weeks depending on infrastructure and integrations
  • Handover and training: 1 week

End-to-end: usually 4–7 weeks from kickoff to your team taking the controls.

Founder-led. Bavaria-based. No lock-in.

About Ventori

Ventori was built on a conviction: European companies should run AI on their own terms, on their own infrastructure, fully owned after handover. We are a small, focused team applying enterprise-grade engineering rigor to deploying AI you actually own.

Read our story →
4–7

Weeks to Production

100%

Ownership and Control

10+

Years Enterprise and AI Experience

0%

Lock-In. Your Data, your Choice

Let's talk

Tell us what you are considering. We reply personally within one business day with a few time slots that work.

Contact Information

Our Office

86456 Gablingen
Bavaria, Germany

Call Us

+49 (0) 8230 85 36 999
Mon–Fri, 9–17

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