Runs on your hardware✦ On-premise & offline AI
Your hardware. Your data. Your rules.
Private AI. Built around your business.
We build private AI tailored to your business. We install it on your own infrastructure, including fully offline if your data security requires it. We design and deploy solutions that work with the systems you already use, automate everyday tasks and follow your business processes. No off-the-shelf templates. No compromises. AI that works for your business.
✓Nothing leaves your network
Sound familiar?
Cloud AI. Too many questions.
Offline-ready
01Your hardware
02Your business logic
03Fits your software
04Swappable models
05Fully documented
06Model · scope · secure · build · improve
Built to pass the audit
We start by analysing your data, roles, processes and potential failure scenarios. Next we define the project scope, take care of security and build a solution tailored to your organisation. We stay with you at every stage of the rollout, until your team can manage the system on its own and make full use of what it can do.
How we work with you
One partner, from pilot to production.
One senior team handles discovery, hardware sizing, installation, integration, documentation and training.
What’s included:
- ✓Discovery and process modelling
- ✓Hardware and model sizing
- ✓Offline installation on your infrastructure
- ✓Custom business logic
- ✓Adapters to your existing software
- ✓Security review and access control
- ✓Documentation and team training
- ✓Handover and operational support
Stay close
Keep the same engineers on call after go-live for updates, new workflows and operational support.
Support retainer- ✓Model updates and evaluation
- ✓New adapters and workflows
- ✓Monitoring and incident support
- ✓Periodic security review
Air-gapped network, strict regulator, or a legacy system nobody documented? Tell us the constraints and we’ll shape the scope around them.
Where it fits
Wherever data can’t leave the building.
- Banking and finance
- Energy and utilities
- Critical infrastructure
- Public sector
- Healthcare and legal
- Industry and manufacturing
Why on-premise?
A smarter way to adopt AI.
Cloud AI is quick to start and hard to defend in an audit. On-premise AI takes real engineering, which is exactly what we do.
Your risk register will thank you. ↙Ready to keep your data at home?
Start the conversation→Experience that carries over
Built for systems that have to work.
Our engineers have spent years delivering software for energy operators, critical infrastructure and banks, environments where uptime, audit and security are not optional.



data points migrated
For energy-sector critical infrastructure
of UK electricity metering migrated
UK MHHS programme that one of our co-founders led with his team


and ISO 27001 audits supported
Helped carry company and product through to completion
lower cost and processing time
At best, when replacing legacy tools
The people behind the work
Senior people.Direct accountability.
A small team that combines hands-on engineering with finance, economics and business leadership, so what we build is technically sound and makes commercial sense.
Killion
Co-Founder · Board
Killion sits on our board and looks after client relations, legal and executive matters. Born in Zambia and educated in Poznań, he is a professor of economics specialising in banking and international finance.
Damian
Co-Founder · Business
Technology only sells once the client trusts it. For more than 20 years Damian has been building that trust in finance, energy and infrastructure, and now brings the same experience to AI.
Szczepan
Co-Founder · Finance
Szczepan leads finance and brings vast experience in accounting and finance. He makes sure project costs and financing are transparent, predictable and compliant, and often helps find the most efficient accounting treatment, simplifying the formal side of a rollout.
Marcin
Co-Founder · Media
Marcin is an entrepreneur, strategic advisor and media producer. He works across media, marketing, business consulting, energy, trade in strategic commodities and new technologies. He combines experience in management, developing business projects and building international relationships.
Tomasz
Co-Founder · Engineering
Tomasz leads engineering. He has worked with most of the largest EU, US and AU energy corporations and critical-infrastructure operators, leading technology transformations and data migrations for global groups.
Why we do this
Some data should never leave the building.
We kept meeting organisations that wanted the benefits of AI but could not send their data to someone else’s cloud, because of regulation, contracts, or plain common sense.
So we bring the AI to the data. Models run on your hardware, inside your network, connected to the software you already depend on. The result is automation you can explain to an auditor.
Talk to the team→FAQ
What do “on-premise” and “offline” AI actually mean?
The AI models run on servers you own, inside your own network. Nothing goes to an external API, and the system can run fully air-gapped, with no internet connection at all. Updates reach it only in a controlled way that you approve.
Which organisations is this a good fit for?
Organisations where data cannot or should not leave the building: banks and finance, energy and utilities, critical infrastructure, public bodies, healthcare, legal and industry, or any business that simply prefers to own its stack.
Is local AI as capable as the big cloud models?
For many business tasks such as document processing, search over internal knowledge, classification, extraction, drafting and workflow automation, modern open models running locally perform very well, especially when combined with your own data and rules. We evaluate candidate models on your real tasks and tell you honestly where a local model is, or isn’t, enough.
How does it handle thousands of documents?
Instead of squeezing documents into a single prompt, we build a dedicated retrieval layer (RAG) that indexes your files on your own servers. For every question it finds the relevant passages across thousands of documents, hands them to the model together with their sources, and keeps the model focused on what matters. You get precise answers with references, without the context-window limits and thinning attention of typical cloud and copilot tools.
What hardware do we need?
It depends on the models and the number of users. During discovery we size the hardware (GPU servers, workstations or a modest on-site cluster) and we can work with what you already have. We are not tied to any hardware vendor.
Can it connect to the software we already use?
Yes, that is a core part of the work. We build adapters to your existing systems: databases, ERP and CRM, document stores, internal tools and even legacy applications, so the AI works inside your processes instead of next to them.
What is the “custom business logic” part?
A model alone doesn’t run a business. We encode your rules, approvals, validation steps and escalation paths around the AI, so the system checks its output, makes it traceable and keeps it consistent with how your organisation works, with a human in the loop where it matters.
How does this help with GDPR and other regulation?
Keeping processing inside your own infrastructure removes third-country transfers and vendor sub-processors from the picture, which simplifies compliance with the GDPR and comparable regimes, including Swiss and other national data-protection laws. We design with privacy and audit in mind and help prepare documentation for your security and compliance teams. We do not provide legal advice.
How do updates and improvements work offline?
We deliver versioned updates that you can review and install on your schedule, through a controlled transfer for air-gapped environments. Evaluation sets let us measure that each new model or change is a real improvement before it goes live.
How long does a project take, and what does it cost?
Scope drives both. We usually begin with a focused pilot on one valuable use case, so you see real results on your own data before committing to a wider rollout. After discovery we give you a clear scope, timeline and price.
Who runs and supports the system afterwards?
Your team can. We train them and document everything. We also offer ongoing support, updates and monitoring if you want us close, but you are never locked in: the system runs on your infrastructure, with your data.
Do you also work with cloud or hybrid setups?
Our focus is on-premise and offline. If part of your landscape is in the cloud, we can design a hybrid setup where sensitive data and processing stay local and only what you explicitly allow goes out.
Which countries and languages do you work in?
We serve organisations across Poland, Germany, Austria, Switzerland and the wider EU/EEA, and can work with clients elsewhere, including in Africa. We deliver in Polish, English and German, and we evaluate models for your language.
Ready when you are
Let’s bring AI to your data.
Tell us what you want to automate, which systems are involved and any constraints such as air-gap, regulation or hardware. We’ll reply with honest next steps.
Our engineers love hackathons
AI that runs locally
Adapters to your stack
Always sharpening our tools



