I design and deploy AI systems inside companies.
I founded AINORA, MB and Impetora. What I build now is a company brain: one shared system that holds what your company knows, connects to the tools you already run, and performs the jobs your people repeat. It answers in the chat tool they already use, and every answer is checkable.
One shared system for the whole team. It holds your documents, procedures and past correspondence, connects to the tools you already run, and performs the jobs your people repeat. Your own staff teach it new jobs, so what they know stops leaving when they do.
How the brain works →A limited number of companies engage me to own AI strategy, governance and the roadmap at two to four days a month. Every engagement starts with a fixed-scope diagnostic.
More on the role →No client names, no testimonials. Instead: systems that are live, that I built and operate myself, and that you can inspect yourself.
A Lithuanian AI engineer based in Vilnius. He founded AINORA, MB, which builds and operates AI systems for companies, and Impetora, an enterprise AI brand for regulated industries. He designs and deploys company brains: shared internal systems that hold what a company knows and perform the jobs its people repeat. He holds a BSc in Quantitative Economics from Vilnius University and the Baltic Financial and Investment Advisor certificate, and is trilingual in Lithuanian, English and Russian.
One shared AI system that the whole team reaches through the chat tool they already use. It holds three things: your own knowledge, meaning documents, procedures, price lists and past correspondence; connections to the tools you already run; and repeatable skills, which are jobs taught once that anyone can then invoke. It is not a chatbot bolted onto a website. It is an internal system that knows how your particular company works. How it works.
A general assistant knows the public internet. It does not know your price list, your procedures, your supplier contracts, or who in your company is allowed to see which of them. A company brain is built on your material and enforces your access rights per person, so two people asking the same question can correctly get different answers. It also cites where each answer came from, so it can be checked rather than trusted.
Yes, and that is the point of it. A non-technical person works through a job with the system until the output is right, then asks it to turn that into a repeatable skill. The next person who needs that job done just asks for it. This is also what stops institutional knowledge walking out of the door: when the person who knew how to do something leaves, the skill they taught the system stays.
Documents and records stay in the systems you already keep them in. Hosting is in the EU, under a signed data processing agreement, with access rights applied per user and a human reviewing anything that matters. If a stricter answer is required, it can be run so that no processor outside the EU is in the chain at all, or on hardware you own.
Yes, for a limited number of engagements at a time, at two to four days a month, with companies across the UK, EU and US. Building and operating production systems is the day job, and it is what the advisory work is grounded in. Every engagement starts with a fixed-scope diagnostic. More on the role.
No. Unlike GDPR, which mandates a Data Protection Officer in defined cases, the AI Act requires no specific role, title or governance structure. It does create real accountability obligations, and naming someone responsible is the common way organisations meet them, but it is a practice rather than a legal requirement. What the Act actually requires.
No. The officer role does not procure from my own companies. If a roadmap points toward something they do, I disclose it and step out of that decision. That is a condition of the engagement, in writing.
Bring one specific process, not AI in general. The useful first conversation is about a job your people do repeatedly and dislike. If the honest answer is that this is premature for where you are, I'll say so and you'll have lost half an hour.