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Your Own Private AI. Your Data Never
Leaves.

Run a local LLM fine-tuned on your company data with absolutely no external connections. Complete data privacy and security. Deploy in your infrastructure or ours - your choice.

4Weeks to live
ProductionGrade, not demos
EUHosted · Utrecht, NL
Operations

Positioning

Why In-House LLM?

For companies with strict data privacy requirements, cloud-based AI isn't an option. Banking, healthcare, defense, legal - industries where data cannot leave your control.

We deploy and fine-tune large language models that run entirely on your infrastructure or in our secure facility, with zero external connections. Your data stays yours.

Forever.

Start with the bottleneck before tooling
Proof before scale or transformation
Decisions based on operational reality

Outcomes

What You Get

Private LLM fine-tuned on your proprietary data

Runs 100% locally with no internet connectivity

Deploy in your datacenter or our secure facility

Full model ownership and control

Compliance with strictest data regulations (GDPR, HIPAA, etc.)

Ongoing fine-tuning and model updates

Deployment Options

Flexible hosting to meet your security and compliance requirements

Your Infrastructure

We deploy and manage the LLM in your own datacenter or private cloud. Complete air-gapped deployment. Your hardware, your network, your control. Perfect for maximum security requirements.

NVIDIA GPUsDocker/KubernetesPrivate network

Our Secure Facility

We host your fine-tuned model in our dedicated, isolated infrastructure in the Netherlands. No shared resources. Your model runs on dedicated hardware with no external connections.

Dedicated GPU serversISO 27001SOC 2

Hybrid Setup

Development and fine-tuning in our facility, production deployment in yours. We handle the complex training process, you deploy the final model on-premises for maximum security.

Encrypted model transferVersion control

Approach

Our Process

From data ingestion to production-ready AI in your environment

Step 1

Data Assessment & Security

We analyze your data, define security requirements, and establish an air-gapped training environment. All data processing happens in your chosen environment - no cloud uploads, no external access.

Step 2

Model Selection & Infrastructure

We select the right base model (Llama, Mistral, etc.) and configure hardware. We optimize for your use case - whether that's document analysis, code generation, or domain-specific tasks.

Step 3

Fine-Tuning & Testing

We fine-tune the model on your data using secure, isolated infrastructure. Rigorous testing ensures accuracy and compliance. Your team reviews outputs before production deployment.

Step 4

Deployment & Maintenance

We deploy the model to your specified environment and provide ongoing support. Continuous fine-tuning with new data, performance monitoring, and model updates - all within your secure perimeter.

Where This Fits

Perfect For

Industries and organizations with strict data privacy requirements

Financial institutions and banks

Healthcare and pharmaceutical companies

Defense and government agencies

Legal firms handling sensitive cases

Companies in highly regulated industries

Organizations with data sovereignty requirements

FAQ

Frequently Asked Questions

The most practical questions that usually come up before a first application actually lands in the operation.

First serious step

Ready to Deploy Your Private AI?

Let's discuss how an in-house LLM can give you the power of AI without compromising on security.

Included in the first conversation

Confidential consultationNDA availableNo obligations
Start with one process. Leave with a sharper first route.
First step

Ready to Deploy Your Private AI?

Let's discuss how an in-house LLM can give you the power of AI without compromising on security.

Response time

We typically respond within 24 hours

In-House LLM - Private AI Fine-Tuned on Your Data | Laava