Building the next generation of data analysis tools

Focus on your research
Experience has shown that research relies more and more on software engineering and data science. An optimized data analysis tool allows researchers to quickly evaluate the quality of their data and dive into the validation of their hypothesis.
Whether you require the development of a new data analysis visualization tool, the maintenance, or the optimization of an existing one, we can help you focus on your research.
RECHENMANN DATA SERVICES
Let’s build together the tools for generations of researchers.
Research projects are separated into 3 main phases: experiment (data collection), data cleaning and data analysis. In order to validate research hypotheses, you need to rely on the stability and the security of a well developed software. Each of these steps is crucial in the path to publish! By working with us, you can spend more time focusing on what matters the most.




DEVELOPMENT
From experiment protocols to data visualization and monitoring, we can help you at every step of your research.
MAINTENANCE AND QUALITY CONTROL
Free researchers from the technical debt of your software. Ensure that new laboratory members can easily understand and modify it. Together, we make sure your tools always speed up your research.
OPTIMIZATION
Spending time where it is necessary is the priority of every scientist. Reduce your processing and analysis time thanks to our code optimization methodology.
DATA ORGANIZATION
Modern research involves data sharing between laboratories and therefore a universal file format.
MEET OUR TEAM
Rechenmann Data was founded in 2020 with a single ambitious mission: revolutionize the way neuroscience research is built. Our approach is to relieve laboratories from the biggest part of their software development to allow them to focus on what matters: science. Our strong experience in data science, neuroscience, and software engineering allow us to better understand the needs of research laboratories.
JULIEN RECHENMANN
Founder & Data Science Consultant
Julien Rechenmann is the founder of the company. Involved in 5 different laboratories since the beginning of his career, he shows 4 years of research experience in academia and 2 years of software engineering in industry.

NEWS & ARTICLES
THE PURSUIT OF RELIABILITY IN RESEARCH: CAN CODE TESTING MAKE A DIFFERENCE?
September 1st, 2022
Ensuring the reliability of findings has been one of the highest priorities among researchers. While researchers manually test the code they write, they can never be sure that the results they obtain are accurate. In this article, I suggest ways to increase the reliability of the researcher's code.
