Like a flight simulator for strategic trade-offs.
Instead of reviewing slides and debating assumptions, leadership teams interact directly with a visual quantified model of their business. They can explore options, test new ideas, and see the same trade-offs instantly, across functions and perimeters. No spreadsheets to decode. No waiting for the next analysis cycle.
- 01
You describe a complex trade-off you’re facing
“Should we reshore this production line? Which plants should absorb the demand? Which investment should we postpone?” A decision that matters, with consequences attached to it.
- 02
We model your constraints
We capture the reality that shapes your choices: sites, capacities, contracts, costs, lead times, regulations and business rules.
Not an industry template: your reality.
- 03
The platform helps you explore the best achievable options, in minutes
Every combination your constraints allow is computed and compared. The frontier of achievable trade-offs emerges automatically, and you can explore them in minutes.
- 04
You debate and decide with numbers you can trace, and keep the capability
Every figure leads back to the assumption behind it. Including when a board member asks where it came from.
The model stays with you, so the next strategic question starts with answers.
The shift: from building limited answers to exploring the full space, collectively
Addressing the four usual pitfalls of this kind of project
The expert model slows down decision-making
The people making the decision are not the people using the model. Each question or objection the decision makers have launches a follow-up analysis. By the time the answers come back, the discussion has moved on.
Executives use the model directly, and they all see the same trade-offs
The “mathematical optimum” ignores critical constraints of your business
Most tools model a typical factory. Yours is not typical. One line cannot take a certain product. A supplier qualification can take eleven months. A contract forbids production outside Europe. If the model ignores these, it gives you an answer you cannot execute. So we model your constraints first. That is what the first weeks are for.
Your constraints are modelled first, so that the best answer is also an executable one
The data is never clean enough to start
Your data sits in several systems. Some of it is missing. Some of it disagrees. Most companies decide to postpone until clean data is available, and the project dies waiting. Paradygma does not need clean data to start. It is built to work with gaps and contradictions, so you start with what you have today.
We work with incomplete, heterogeneous data.
The model leaves when the consultant leaves
A traditional consulting firm gives you a report and an undocumented Excel. Six months later, you hire again. With us, the model is built with your team, inside your systems, and it stays there. Your next question does not need us.
You keep the capability, not just the answer.
Where AI fits, and where it does not
What computes the answer
AI does not generate new numbers
We all know the limits of generative AI and the risk of hallucinations. With Paradygma, the scenarios are computed by a deterministic engine working on your constraints. The same inputs give the same outputs, every time. There is no generation, no estimation, no hallucination within the results you present.
Where AI helps
AI helps get to the model faster
Reconciling references between systems, spotting duplicates and inconsistencies, suggesting how a spreadsheet's logic maps onto the model — the work that used to consume the first month.
AI helps you interact with the model in natural language
Ask a question in plain language* and get the scenario it corresponds to, with the constraints it applied made visible.
(*depending on your confidentiality requirements and genAI platform, English might be the only efficient language)
AI is how you talk to the model. It is not what computes the answer.
Go deeper
The technology underneath, the method we follow, and the four components you keep.