Money savings

Choose the most suited hardware for your application leading to conception costs gains, with an average area saving between 20-40% for varied image processing applications.



Optimize the energy consumption of your application. For instance, for the well-known Fast Fourier Transform signal processing benchmark, a reduction of total dynamic on-chip power of 72.5% has been obtained on an Ultrascale +.



61 % of the embedded projects have finished late or have even been cancelled (Source: EE Times Embedded Market's Study 2019). Reduce your time-to-market with our automated optimization tool leading to production costs gains.

On Demand

With the latest innovative research from reference labs such as IETR and Inria, Quintech proposes its first tool to help embedded systems engineers to reduce their time to market while optimizing their applications. So as to be able to embed millions of code lines in embedded systems, optimization becomes a must-have. So as to get an interesting trade-off between application cost and performance, we propose optimizing the data word-lengths of your application.

  • Training
    Learn the best practices for software developing with the aim of hardware implementation
  • Integration into your environment
    Optimize the energy consumption of your application
  • Suited to the features of your application
    Reduce your time-to-market with our automated optimization tool leading to production costs gains


Justine Bonnot

CEO and Approximate Computing Expert

After an electrical engineering degree and a signal processing PhD in INSA Rennes (France), Justine decided to take her research on approximate computing out of the lab with the creation of Kaktus. She leads this project since almost 2 years. She is convinced that this project can make embedded software efficiency take a step forward.

Thomas Bardot

CTO and Compilation Expert

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They talk about us

Optimiser la consommation des applications embarquées

Pour économiser la batterie, les applications embarquées doivent consommer le minimum d'énergie et fonctionner avec une faible empreinte mémoire. D'où la nécessité d'optimiser le code afin d'alléger le travail du processeur. Dans ce domaine, des résultats de recherche d'Inria et de l'IETR vont aboutir à la création d'une startup autour d'un compilateur facilitant l'identification du meilleur compromis qualité/performance.

Emergences, 2019

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Contact us:

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Inria, 263 Avenue Général Leclerc, 35042 Rennes

Mon - Fri, 8:30-18:30

+ 33 2 99 84 75 20

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