Trade-off intelligence for leadership teams

“Is this really the best option we have?”

You know the question is coming.

From your board. From your peers. From the teams who will have to execute it.

With Paradygma, leadership teams answer that question in the room.

They can work directly on a quantified model of their company: explore thousands of feasible options, see what each constraint costs, and converge on the best achievable decision.

And the model stays.

  • Your data never leaves your environment
  • Every number traceable to its hypothesis
  • Deployed in 4–6 weeks

Built for leadership teams who dare to disagree

Paradygma is a trade-off intelligence platform for leadership teams, built for complex decisions and designed to turn disagreement into a decision, in the room.

  • Executives work the model themselves
  • Every objection is computed instantly
  • Every constraint is priced
  • Everyone sees the same trade-off, at the same moment
  • Best achievable trade-offs are computed

Deployed in your environment in 4–6 weeks

How strategic decisions still get made

The spreadsheet

Forty tabs, inherited from a predecessor, whose formulas two people still understand. The most critical model in the company and the least governed asset in it.

The slide

Three scenarios out of thousands of possibilities. No visibility into whether they represent the best trade-offs, or just the easiest ones to analyse.

The one-off study

Weeks of work, a handful of scenarios, and a model no one can re-run next quarter. The next question starts from zero.

Speed of decision, not just speed of calculation

When everyone in the room sees the same trade-offs, disagreement becomes productive.

Answers in the meeting, not six weeks later

Once your model exists, a new hypothesis gets computed instantly, from a deterministic engine. Leadership teams can directly use the model and can check all intuitions they've developed through experience.

See the options that matter, not just the ones you had time to build.

The engine explores every feasible configuration, within your constraints. The best trade-offs become visible, comparable, and defensible. You can see what every constraint is costing you.

Defend every number

Each result traces back to the constraint, hypothesis and the objectives that produced it. Nothing is a black box, including to your auditors.

Keep the model

Built on your constraints, in your environment, and it stays yours. The next question does not require a new mission.

Six families of decision

Across industries and functions, some questions are specifically complex: many variables, hard constraints, competing objectives, and a decision that must withstand challenge while creating alignment.

Manufacturing footprint

“Which sites should produce what, for which markets? And what does moving it really cost?”

Capex arbitration across sites, relocation, reshoring, network redesign, plant-to-market allocation, make-or-buy on an industrial scale, geographical sourcing.

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Capacity and ramp-up

“Can we absorb a doubling of cadence, and where does it break first?”

Load allocation, ramp-up feasibility, maintenance and shutdown policy, surge capacity, workforce and shift models.

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Portfolio and resource allocation

“Where should the next hundred million go? And what are we giving up by choosing it?”

Programmes and marketing allocations, multi-year budget trade-offs, decarbonisation trajectories, portfolio rationalisation.

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Commercial Strategy

“A tariff moves by ten points. What happens to our margin, and what is our best response?”

Pricing and discount policy, tariff and inflation pass-through, channel and contract mix, revenue and promotion trade-offs.

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Ownership and partnerships

“Do we make it, buy it, partner on it, or acquire it — and can we prove which, before the letter of intent?”

Synergy quantification, post-merger footprint integration, carve-outs, insourcing versus outsourcing, offset and partnership structuring.

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Stress testing and resilience

“What if the worst happened tomorrow? How can we get ready for anything?”

Macro stress testing, new competitor entry, supply disruption, cyber incident impact, crisis response, building resilience.

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Live in four to six weeks

A fast delivery approach, based on the best principles of design thinking methodologies.

  1. 01

    Your question

    We start from the complex arbitration you are facing, with its decision date and its decision-makers.

  2. 02

    Your model

    We build the “ontography” of your problem: your sites, your constraints, your costs, your dependencies. Read-only from your ERP or data lake, your spreadsheets and external data.

  3. 03

    Your scenarios

    Thousands of them, explored and compared. Not just one optimum — the trade-off curve, so you can see what each constraint is costing you.

  4. 04

    Your decision, and the next one

    You obtain a defensible answer. Then you keep the model and the simulation tool to run the following question yourselves.

See the full method

Built by people who have been on your side of the table

Pierre-Yves Calloc'h

École Polytechnique. Twenty years at Pernod Ricard, from Managing Director of an affiliate with multi country full P&L responsibility to Global Chief Digital Officer. Spent a decade in executive committee debates on decisions that commit capital for years.

Nicolas Corouge

Télécom Paris. Spent two decades making critical systems that security teams would vet for critical data and operations. Built secure & reliable technology platforms for companies such as Safran, Airbus and Thales.

Give your organisation the ability to answer strategic questions, again and again — and become the company that adapts first.

Bring us one complex decision you are facing. In forty-five minutes, we will tell you whether it can be modelled, what it would take, and what it would cost. If it isn't a fit, we will say so.

Model your decision