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EikoTwin Lite

EikoTwin Lite is a highly advanced software specifically designed to compare sensor measurements and FE simulations by utilizing virtual strain gauges. 

With EikoTwin Lite, users can easily and efficiently evaluate the performance of their systems, optimize design parameters, and make informed decisions based on real-world data.


EikoTwin Lite provides software validation that significantly reduces the time needed for comparing tests and simulations of sensor processing while minimizing approximations and errors common during validation stages without using virtual strain gauges.

Eikotwin Lite Validation Software From Eikosim For Sensor Processing

EikoSim's engineering partners and customers

Ansys 1
DS 1
Mdba 1
Arienegroup 1
Safran 1
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EikoTwin Lite is available on the Altair Partner Alliance Platform


  • Quickly aggregate sensors around a simulation result with software verification.
  • One-click comparison and analysis through software validation.


  • Local & global visualization of test/simulation differences through easy-to-use user interfaces.
  • Estimate errors due to sensor positioning.


  • Cut most of the graph creation time.
  • Remove approximations and human errors with software validation.
Plaquette Eikosim Lite for validation process via system testing and software verification testing

Ask for the Eikotwin Lite documentation

Applications and tutorials

FE simulation correlation: a dedicated platform


As an engineer, correlation of finite element simulation often requires lots of data management within Excel or with in-house Python scripts. As the European leader in space launchers, Ariane Group participates with EikoSim in multiple Research and Development projects, including a RAPID R&D project (“MUTATION”) funded by the Direction Générale de l’Armement. This project aims at developing an industrial…

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Simulation validation in Excel, it’s over!

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By Florent Mathieu, Ceo of EikoSim Ever wondered why you have to perform simulation validation of strain gauges in Excel ? In order to build more confidence in more refined simulation models, simulation models have to be backed up by a lot more real-world data, in order to avoid large design margins: teams now have…

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