A real vacant space → a business concept that fits the place.
Location, market gap, concept, visual transformation, economics, staffing and operating logic.
01 — APPLIED AI & DECISION INTELLIGENCE
I design and build AI systems that turn fragmented data,
repetitive work, and complex requirements into working
operational intelligence.
02 — FROM FRAGMENTS TO STRUCTURE
Space, demand, process, people, equipment, cost,
and customer behavior all leave clues.
My work begins by structuring them.
03 — ANALYSIS IN MOTION
I analyse local businesses, operating models,
commercial spaces, and growth opportunities
through evidence, not guesswork.
04 — EVIDENCE LINE
Good strategy is not inspiration alone. It is pressure-tested
through numbers, constraints, workflow logic,
and operational feasibility.
05 — SYNTHESIS
I turn raw information into concepts, systems,
operational plans, and AI-supported business models
that can actually be built.
01 / See how I think
Public cases are analysis, not client claims.
A real vacant space → a business concept that fits the place.
Location, market gap, concept, visual transformation, economics, staffing and operating logic.
A real business → the system behind the visible success.
Customer, offer, location, pricing, throughput, differentiation and operating model.
A strong idea from one city → tested against another market.
What transfers, what must change, and which assumptions decide the answer.
I take real business situations, break them into the evidence that matters, test the economics and operating reality, and show what I would build, change or avoid.
02 / Thesis
I analyse those connections together — then show what I would build, change or avoid.
03 / What I analyse
The work changes with the problem, but most cases live across three territories.
Where is the opportunity, who is the customer, what already exists around it, and what does the local evidence actually support?
What should exist here, how should it make money, and which assumptions decide whether the idea survives contact with reality?
How should the business actually run, where does capacity leak, what should stay human, and what should become a system?
04 / Have a real decision?
You do not need to know which service you need. Start with what you are trying to decide.
You are considering a commercial location and want to know whether the place, concept and numbers belong together.
You already operate and want to understand what is limiting margin, capacity, growth or control.
You have a vacant or underused commercial space and want to understand what kind of business could make sense there.
05 / Work with me
The first engagement should answer something concrete — before it grows into a larger project.
For a real commercial location already under consideration. I test the place, concept, rent logic, simple economics, key assumptions and the conditions that would make me proceed — or walk away.
For 'I have a space, an idea or a budget — what should I actually build?' I develop the positioning, stress-test the unit economics, design the operations framework, and establish a clear proof system.
For an existing local business, a second location or an operation that works — but not as well as it should. I redesign the system to fix leaks, increase throughput, or prepare for duplication.
06 / Case library
Spaces, businesses, operating models and ideas — analysed publicly, with the assumptions visible.
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07 / R&D / LOKLU
LOKLU is my long-term R&D project: a decision-intelligence system designed to connect place, market, concept, economics, operations and evidence. It is part of the infrastructure and method behind how I build.
The product is still being built. I distinguish clearly between what runs today, what is prototyped, and what remains architecture.
It is not the service I am selling here. It is part of the infrastructure and method behind how I build.
08 / Evidence & trust
Good analysis should make the boundary between knowing and guessing visible.
Directly supported by evidence.
Derived from incomplete but reasonable evidence.
A deliberate input used to test a scenario.
Evidence we do not have — and should not pretend to have.
Evidence supports the next commitment.
Proceed only under named conditions.
The current case does not justify the commitment.
The responsible answer is to gather more information.
If the evidence is weak, the system should say so.
JUOZAS RIMKUS / DECISION INTELLIGENCE09 / About
I work at the intersection of business, operations, data and software. My background is in real-world project work, which is why I care less about impressive demos and more about whether a system survives contact with the way a business actually operates.
I use AI as leverage for research, modelling, design and implementation — but judgment, evidence and accountability stay human.
I am based in Berlin and work in English and German, with a global view of the problems I choose to solve.
10 / Contact
Send me what you are trying to decide. I will tell you whether I can help — and if the evidence is not enough, I will say that too.