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Open Source Simulation: The Business Case

2026 state of the art: real costs and strategic benefits

Open Source Simulation: The Business Case

3 key benefits

  • Rationalize your investments

    Take full control of your costs by replacing perpetual license rental with an investment in your teams (TCO typically reduced by 50% within a few years).

  • Be sovereign

    Secure your technological sovereignty thanks to transparent computation codes, auditable end-to-end and free from extraterritorial regulation.

  • Innovate freely

    Customize your solvers and automate your computation processes without running into the limits or extra costs of proprietary vendors.

« "Open source numerical simulation is not a low-cost alternative. It is a model where transparency replaces opacity, and where technological mastery replaces dependence." »

What you will discover

  1. 1

    A brief history of open source at EDF

    The history and robustness of EDF R&D's technological heritage, forged to meet the demands of critical engineering and safety.

  2. 2

    Putting costs into perspective with total cost of ownership

    An objective TCO comparison to assess the real cost of an open source migration against commercial models.

  3. 3

    They've made the move

    Testimonials and quantified feedback from industrial players (Holcim, Aether Engineering, Fortlab Polska) who are already benefiting from open source.

  4. 4

    The questions you're asking yourself

    Direct and pragmatic answers to your operational concerns: solver accuracy, learning curve, long-term viability of the tools…

This strategic guide is for you if:

  • You lead the technical function, R&D, or engineering projects of an industrial company.
  • You are looking to rationalize your simulation budgets in the face of annual price increases from your usual software solutions.
  • You operate in critical sectors (defense, energy, civil engineering) requiring absolute control over your data and deep oversight of the algorithms.
  • You want to couple different physics or extend the use of high-performance computing (HPC) without being limited by budget.

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