pa·ra·deig·ma

Gk. παράδειγμα, from para (beside) + deiknunai (to show)

n. 1. A model placed beside reality in order to reason about it.

Paradygma was created from a simple observation: the most important decisions in large organisations are still debated through spreadsheets, slides and a handful of scenarios.

After decades spent on both sides of the problem, we built Paradygma to give leadership teams a living model of their organisation and change the way strategic decisions are made in three fundamental ways:

From expert-only models to shared understanding.

Instead of a spreadsheet only one or two analysts can read, you get an immersive, visual model of your own company that every executive can grasp and manipulate directly. Scenarios are explored together, in real time, and decisions converge faster.

From limited scenarios to full exploration.

Instead of choosing between two or three scenarios, you can explore the full space of feasible options, from different lenses. You see the frontier where the best trade-offs sit, how far your preferred option is from it, and what each constraint you keep is costing you.

From static planning to continuous adaptation.

Instead of rebuilding spreadsheets and commissioning new analyses every time a question changes, you have a living model that evolves with your organisation. A new tariff, disruption or executive question becomes a re-run in minutes, not a new study.

Founders

Before Paradygma, we spent years caught between three forces that never agreed:

Reliable IT demanded security, control and certainty.
Technology evolved faster than any roadmap could anticipate.
And the business needed to move now, not after the next review cycle.

Every decision-support project felt like an impossible trade-off. This is why we've created Paradygma.

Pierre-Yves Calloc'h

CEO · Former Global Chief Digital Officer, Pernod Ricard · École Polytechnique

Pierre-Yves spent twenty years inside one of the world's leading premium spirits groups, on both sides of the problem Paradygma solves. He has held both CIO roles and CEO roles, with full P&L responsibility across multiple countries.

He has lived executive committee debates on decisions that commit capital for years. He has been the one asking the question, and the one who had to produce the answer.

He founded Paradygma to fix the gap he kept running into: not a lack of data or analysis, but the lack of visibility on the full landscape of possibilities, and something that lets an executive committee converge fast to the best trade-off.

Nicolas Corouge

Managing Director, R&D · Former Managing Director and co-founder, Connectiv IT · Télécom Paris

Nicolas has spent his career building technology for organisations that do not accept “trust us” as an answer: Safran, Airbus, Thales. That is a particular discipline: systems that have to be explainable, auditable and defensible before they are allowed anywhere near a real decision.

He designed Paradygma's technical foundations on the same principle. It is why the engine is deterministic, why every result is traceable, and why security is at the core of Paradygma.

Why now

The world doesn't reward the best strategy anymore. It rewards the fastest ability to rethink it.

For decades, strategy was built on relatively stable assumptions.

That world is disappearing.

Geopolitical shifts, tariffs, reshoring and AI are changing markets faster than most organisations can rethink their decisions.

The companies that win will not be those with the best plan.

They will be those that can adapt their plan fastest.

Yet strategy still relies on tools built for a more stable era.

Most strategic decisions are still created in spreadsheets and communicated through slides.

Those tools remain valuable, but they were never designed for continuous adaptation.

Spreadsheets become fragile as complexity grows. Presentations simplify complexity because they must fit a narrative.

The result is a trade-off between depth and speed.

The real incumbent is not another software platform. It is the spreadsheet and the slide.

What changed?

Until recently, there was no practical alternative to traditional tools.

Building a living model of an enterprise required years of integration, expertise and transformation efforts.

Today, two technological shifts have changed that.

Recent technologies can now represent a business as it actually operates: products, suppliers, customers, factories, people, risks and dependencies, without forcing reality into rigid structures.

AI can automate the work that once made these systems impractical: connecting data, identifying inconsistencies and enabling natural interaction with complex models.

Importantly, generative AI should not generate critical answers.

The answers need to remain transparent, explainable and auditable.

What AI changes is the timeline.

What once took quarters can now take weeks.

This creates a new possibility.

For the first time, organisations can maintain a living representation of their business.

A model that evolves as reality evolves.

A model that allows leaders to explore decisions before committing resources.

In short, like a flight simulator for strategic decision-making.

That is why we built Paradygma.

Strategy should be a continuous capability, not an annual exercise.

Every important decision should be explored before it becomes irreversible.

Because the world will keep changing.

What matters is how quickly, and how confidently, you can rethink your strategy.

Bring us a decision you are stuck on.

We will show you what the simulation says about it.

Model your decision