On-premise or cloud, your data stays in your hands
IT infrastructure and AI servers
We build IT infrastructure, and today your own AI server too: an on-premise GPU server or a private cloud, with self-hosted models and GDPR-compliant operation. For SMBs that need their data to stay in their own environment.
Customer data pasted into ChatGPT is a data risk. Once AI works on real contracts, customer data or internal documents, you need a place where the model runs under your control. We design and build it: a GPU server in-house or in a private cloud, with self-hosted models, so the data never leaves the company.
IT infrastructure design and build-out
GPU server design and installation
Private models running on your own server
Monitoring and scaling
Why it pays off
What we do differently
01
Data stays with you
Customer data, contracts and internal documents stay off foreign APIs. The model runs on your side, and you decide what leaves the company.
02
Predictable cost
API fees grow with traffic and are hard to plan. Your own infrastructure is a one-off investment plus a known running cost, which usually wins at high volume.
03
Sized for the job
We size the hardware to the models and load it will run, not to the most expensive GPU.
04
Operation, not just handover
We stay on after installation: monitoring, updates, model swaps, scaling. If something fails at night, you won't hear it from your customers first.
Typical situations
What it's most often used for
Contract analysis at a law firm, on confidential filesInvoice processing at an accounting firm, without sharing client dataAn internal knowledge search over a manufacturer's technical documentationAn assistant working on patient data at a healthcare providerBulk product description generation for a webshop, on your own GPUCV screening while keeping personal data in-house
The process
How we work together
Assessment
We map your processes and find where your business loses the most time and money. We don't build blind: every decision rests on data.
Planning
We design a specific solution with measurable goals and a clear timeline. You know up front what you get, at what cost and by when.
Development
We build the system and adapt it to your own processes. We work in short cycles, so you see progress all along.
Operation and support
We take the system live, train your team, and then operate and support it.
FAQ
What's worth knowing up front
How much does your own AI server cost?
Hardware depends on the task: a small machine for running models in-house and a multi-GPU cluster differ by an order of magnitude. Including design and setup, a focused project starts from a few hundred thousand HUF, with an exact figure after assessment. If your own hardware isn't worth it at your volume, we recommend a private cloud.
How long does it take to set up?
With a private cloud environment, rollout usually takes weeks, and with a physical server, hardware procurement time also counts. As a rough guide, a typical project takes one to two months, including assessment, installation and training. You always get the first working version before the full build-out.
How does it connect to our existing systems?
Self-hosted models can be called through the same kind of API as the big providers, so your existing software can usually switch over with minimal changes. We connect it to the ERP system, document store or customer management tool you use today. If that needs custom development, we handle that too.
Is it really more secure than cloud AI?
Yes, because the data physically stays with you and doesn't depend on how an outside provider handles it. On the GDPR side, this makes your role as data controller much simpler. The other half of security is operation (access management, logging, backups), and we set that up and monitor it too.
How long has Brauniq worked on IT infrastructure?
Brauniq Solution Kft. is an IT service provider headquartered in Budapest, operating since 2014. Our activity started in the field of IT infrastructure and data processing.
What does building IT infrastructure mean at Brauniq?
Designing and building IT infrastructure, designing and installing GPU servers, private models running on your own server, plus monitoring and scaling.