AI is a powerful tool — but it delivers real value only when it is connected to your infrastructure and processes. We build your own local AI on your premises: your data stays in the company, costs are predictable and the AI works with your documents and systems.
More than hardware and installation
Anyone can buy a server and install a model. The value appears only when AI is connected to your infrastructure and to how you actually work. As an AI integrator we build the whole — from hardware and network to connecting AI to your processes.
- AI over internal documentspolicies, contracts, manuals and documentation — answers with a link to the source
- AI in the helpdeskdraft answers and fixes from your knowledge base, approved by a person
- AI in IT operationsreads monitoring and alerts, helps with log analysis and documentation
- An assistant for staffActive Directory sign-in, everyone sees only what they are allowed to
Local AI is above all infrastructure
Downloading a language model takes minutes. The essential — and difficult — part is everything around it. And that is exactly our long-standing specialisation:
- Hardware selection and sizingGPUs, memory, storage, cooling and power sized for the models and number of users
- Virtualizationrunning AI in a virtual environment with direct GPU access (Proxmox VE, VMware)
- Network and securityaccess only for authorised users, isolation from the internet, encryption
- Monitoring and backupwatching GPU performance, temperature and load (Zabbix), backing up configuration and data
- IntegrationActive Directory sign-in, connection to documents and existing systems
Many AI experts don’t know infrastructure — and many infrastructure admins don’t know AI. We combine both.
Who local AI is for
Anyone who works with sensitive data and doesn’t want to hand it to a third-party service — and companies that want AI under their own control. In the EU this trend is reinforced by GDPR and the new AI Act.
Use cases
- Internal assistantanswers from your policies, contracts, manuals and documentation — with a link to the source
- Working with documentssummarising, comparing and searching large documents without uploading them to the cloud
- AI for IT supportlog and alert analysis, suggested fixes, documentation that writes itself
- Customer support assistantdraft answers from your knowledge base, reviewed by a person
How big a solution you need
- Smallone server with one powerful GPUa smaller team, an internal assistant over documents
- Mediuma server with a stronger GPU or two cardsdozens of users, more applications, larger models
- Largemultiple GPUs or servers in virtualizationthe whole company, demanding models, high availability
We always design the specific configuration and budget around your needs.
How we approach it
- A concrete problem, not “AI”We start with one to three narrow use cases where AI saves time or money.
- An honest assessmentYour own server doesn’t always pay off. Sometimes a hybrid solution is enough — and we will tell you openly.
- A solid foundationWe build local AI on reliable infrastructure — virtualization, network, backup and monitoring are part of it.
- A person has the final sayAI suggests and assists; decisions and changes to systems are always made by a person.
AI in our own daily work
Old technologies don’t disappear — they gain an AI layer. We use AI every day in IT operations: analysing logs, preparing configurations, reviewing changes and writing documentation. So we know from practice what AI can do, where its limits are and how to deploy it safely.