Institut Polytechnique de Paris
Ecole Polytechnique ENSTA Ecole des Ponts ENSAE Télécom Paris Télécom SudParis

14 Deeptech Projects Winners of the 2023 Prémat’ Call for Projects

15 Jan. 2024
Institut Polytechnique de Paris (IP Paris) celebrates the fifth edition of its Prémat’ Call for Projects. Since its creation, this call for projects has seen a steady increase in momentum and has helped identify and fund innovative research projects providing crucial support by identifying innovative projects within IP Paris’s laboratories.
14 Deeptech Projects Winners of the 2023 Prémat’ Call for Projects

Over the course of five editions, a total of 45 projects from IP Paris's laboratories have been funded (amounting to a total of 3 million euros). These projects span a diverse range of fields including materials physics, MedTech, Energy & Environment, as well as numerous digital topics such as Networks, 5G, and AI.

Thanks to the AAP Prémat', nearly 12 start-ups have emerged based on the winning projects (among them: RunBlind, Amphitrite, Konatus and Plasana).

The fifth edition selected 14 winning projects with a total funding of 984,000 euros.

Here are the 14 winners of the fifth edition:

Project Project Holder     Field Description
ARTIST2 Stephan Clémençon, Télécom Paris AI The project aims to complete the development of a scoring software and automatic bias detection/correction service, based on AI research.

CaRD - Cartographies R&D
Didier LEBERT, ENSTA Paris Decision Support Software A solution for mapping the organization of technical knowledge at the scale of research centers, companies, industries, and territories to perform diagnostics and facilitate strategic decision-making.
CATHAPLAS Thierry Dufour, École Polytechnique MedTech  The project developed a device for treating tumors of the biliary tract.
ClaDyVers Xavier Boutillon, École Polytechnique Other The digital avatars of organs and harpsichords do not well render their touch: the project consists of developing digital organ and harpsichord keyboards.
DEUB Antigoni ALEXANDROU, École Polytechnique MedTech  A process for the ultra-sensitive detection of biomarkers and pathogens using luminescent nanoparticle-based probes.
DynColor Amal Dev PARAKKAT, Télécom Paris Other The project develops software to help artists optimize the colorization of 2D animation films.
Fiber-socket Fabien SZMYTKA, ENSTA Paris MedTech  The project aims to improve the performance of athletes with tibial amputations by developing an instrumented sleeve that measures pressure, shocks, and friction at the stump-prosthesis interface.
Gloc-Indoor Nel SAMAMA, Télécom SudParis Embedded Systems The project aims to optimize the management of material and/or people flows by integrating a complete geolocation and data transmission system in an autonomous lighting and safety beacon.
Imag2 Visionerves Pietro GORI, Télécom Paris MedTech The project aims to optimize a software for rapid and automatic 3D modeling of the peripheral nervous system and organs of the abdominopelvic region to assist surgeons in planning their interventions and anticipating possible nerve damage.
INFO3D Daniel WEISZ-PATRAULT, École Polytechnique Materials The invention consists of a procedure for implanting optical fibers in the mass of 3D printed metallic structures, which then allows for thermal and mechanical measurements of an industrial part with complex geometry.
LASEM Alexandre TANGUY, École Polytechnique Materials The LASEM project aims to develop a coupling of a continuous wave laser with a Scanning Electron Microscope for optimizing the treatment and in-situ surface modification of materials.
Microstamp Julie DIANI, École Polytechnique Materials The project develops stamps with relevant patterns to be applied on the surface of materials, optimizing the measurement of deformations by image correlation during mechanical tests. 
SIFASOL Sylvain CROS, École Polytechnique Energy The project's technology involves predicting the electrical production at a fine temporal scale of one or more photovoltaic plants using observations of the cloud layer by geostationary meteorological satellite images and machine learning algorithms.
Télécom Paris
5G - Embedded Systems The invention aims to optimize wireless power transfer (WPT) and RF energy harvesting, to support the deployment of 5G networks.