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LavX Managed Systems

EU-resident AI engineering for European business. RAG, LLMOps, agents, custom software. Model-agnostic, no vendor lock-in.

Budapest · EU · EU-resident AI engineering

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© 2026 LavX Managed Systems · Budapest · EU
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Trust CenterEU data · audit ready
Trust Center

See itbeforeyou trust us.

One place that shows where your data lives, what we commit to, who our suppliers are, and which documents you can request. We tailor data residency to your requirements: where it matters, data and inference stay inside the EU throughout. Compliance is the starting point of the design, not a later add-on.

What we commit to ↓Have a question? →
What we commit to

Four areas, with concrete commitments

Not principles, but verifiable commitments. We can show each of them on a call or in a document.

Data and privacy

The data is yours, and it stays in the EU on request

  • Where compliance requires it, data and inference stay in the EU.
  • GDPR-based data handling, with a data processing agreement.
  • We do not train on your data, and beyond our sub-processors we do not pass it to third parties.
  • Deletion on request, with a predictable retention period.
AI governance

Transparent AI, not a black box

  • Every answer names its source.
  • EU AI Act readiness, with the obligations built into the design.
  • A full audit log of every step.
  • Typed tool use, human override, a strict stop condition.
Security

Audited before it goes live

  • The system passes the security audit before going live.
  • Zero-trust access, secrets scanned out of the pipeline.
  • CodeQL and a security review already in the Pull Request.
  • Real-time threat detection.
Operations and recovery

The live system is not left on its own

  • Monitored operation, with alerts.
  • Incident handling and RCA after every disruption.
  • Predictable, audited releases.
  • Backups and a documented recovery plan.
Sub-processors

Who can access the data

The infrastructure and model providers the systems may run on. What is actually used comes down to your setup: from a fully on-prem or internal model (with no external sub-processor), through EU-region endpoints, to global APIs. The complete, current list is in the DPA annex.

01 · Most control

On-prem / internal

The model runs on your infrastructure. The data never leaves the environment, and there is no external sub-processor.

No external party
02 · For compliance

EU-resident

EU-region providers and endpoints only. Data and inference stay inside the EU throughout.

Inside the EU
03 · Most choice

Global, task-matched

The best model for the task, with no residency constraint, across a multi-provider gateway.

Mixed region
ProviderRoleRegion
OVHcloudHosting and infrastructureEU (France, Germany)
NetcupHosting and infrastructureEU (Germany)
CloudflareCDN, WAF and DDoS protectionGlobal edge, with EU data handling
Model inference (EU region)Mistral, and the hyperscalers' EU-region endpoints (Azure, AWS, Google, OpenAI EU)Inside the EU
Model inference (global)Task-matched model, on request: OpenAI, Anthropic, OpenRouter, HuggingFace, Alibaba, z.ai, Kimi, MiniMaxMixed region, only without an EU residency constraint

The AI layer is a multi-provider gateway, not tied to any single model supplier. For an EU residency commitment we use EU-region providers and endpoints only; for a fully on-prem setup the model runs in your environment, with no external sub-processor. The current, named list of model sub-processors is in the DPA annex, and we send it on request.

Documents

What you can request

The details are not public, but we send them after a call or a signed NDA.

Data Processing Agreement (DPA)GDPR-based data handling, with the named list of sub-processors.Request it →
Security summaryAn overview of the architecture, access management and security controls.Request it →
Non-disclosure agreement (NDA)We sign it before the call if sensitive data is involved.Request it →
EU AI Act compliance recordHow we meet the relevant obligations, system by system.Request it →
Frequently asked questions

What we get asked most

The short answers here; the details on a call or in the documents.

Where does inference run, and where does the data stay?
It depends on your needs. From a fully on-prem solution, where the model runs on your infrastructure with no external party, through EU-region endpoints, to global APIs. If EU residency is the requirement, data and inference stay inside the EU throughout.
Do you train on our data?
No. We do not train on your data, and beyond our sub-processors we do not pass it to third parties. The complete sub-processor list is in the DPA annex.
Who works on the project, and who do we get?
Senior engineering, from start to finish, by a team with 15+ years of enterprise IT and engineering experience. No handoff chain: the team that scopes it designs, builds and operates it. On the call you speak with an engineer, not a salesperson.
How long, and what does it cost?
We go from scoping to live operation, with predictable handoffs. We give a realistic estimate, a schedule and metrics on a call, tailored to your system and your stakes.
What if we want to move off you?
That is exactly the goal. At the end, knowledge transfer and documentation so your team can carry the system forward. We build a provider-agnostic solution, so there is no vendor lock-in.
What models do you use?
Always the one that fits the task, across a multi-provider gateway, so we are not tied to a single supplier. For bulk, repetitive work we often use a locally running model fine-tuned on your data.
Security question

Ask about security directly.

For a compliance or security question too, you speak with an engineer, not a salesperson. We reply within one working day.

Get in touch[email protected]