16 Deeptech Projects Winners of the 2024 IP Paris Prématuration Call for Projects
Over the course of its six editions, the Prématuration IP Paris call for projects has supported 59 projects from laboratories, with a total investment of 4.1 million euros. These initiatives cover a wide range of topics, from MedTech to materials, energy, environment, and digital technologies such as 5G, networks, and artificial intelligence.
This dynamic has led to the creation of 16 startups, such as Amphitrite, Konatus, Plasana and RunBlind, which emerged from the projects that received support.
Here are the 16 winners of the sixth edition:
| Project | Project Holder | Field | Description |
| FASTGAN | Karim OUARAS, École Polytechnique | 5G - Embedded Systems | The project is based on the use of a low-temperature plasma process, enabling the production of thin films suitable for the low-cost manufacturing of GaN/AlN devices on large-area Silicon. |
| SPLASH | Christophe THIEBAUX, École Polytechnique | MedTech | The SPLASH project aims to develop a compact and portable detector capable of measuring the profile and dosimetry of charged particle beams, particularly in "FLASH" radiotherapy. |
| QUANTIX | Hamed MERDJI, École Polytechnique | Materials | The unique design of QUANTIX is based on the principle of generating high-order harmonics in semiconductors using a fiber-based femtosecond laser. |
| XANPROTECT | Yvan SIX, École Polytechnique | Materials | The project involves a general method for covalently grafting polymers onto various surfaces, resulting in superhydrophobic properties that can be tuned to achieve omniphobic (or amphiphobic) properties. |
LA KINASE PDK1 | Benoit SCHNEIDER, École Polytechnique | MedTech | The invention concerns the development of novel small chemical molecules targeted against the PDK1 kinase (3-phosphoinositide-dependent kinase), with properties as allosteric modulators of PDK1 activity, capable of exerting both a neuroprotective effect and an anti-inflammatory effect. |
| MICROSTAMP2 | Julie DIANI, École Polytechnique | Materials | Creation of silicone stamps with controlled shapes and patterns for surface marking of materials or structures in order to measure deformations under mechanical, thermal, and other stresses. |
| DMC | Thomas HOUY, Télécom Paris | Other | Development of a decision-making tool for uncertain situations, called the "Decision Model Canvas" (DMC). This tool helps professionals make informed decisions when their businesses or projects operate in contexts characterized by high unpredictability. |
RAMSES-ROS | Dominique BLOUIN, Télécom Paris | 5G - Embedded Systems | The RAMSES-ROS project proposes to develop an extension of the RAMSES platform, developed at LTCI Télécom Paris, which is used for modeling, analyzing, and automatically generating code for embedded systems. |
| DIGITAL TWIN | Ali KESHAVARZI, Télécom Paris | MedTech | The project is a deep-learning technology capable of generating very-high quality Digital Twins of the airway tree from a CT scan. |
DYNCOLOR | Amal Dev PARAKKAT, Télécom Paris | Other | Design of an interactive tool to automate the colorization of animated films based on a few inputs. |
| PRIEC | Gianni FRANCHI, ENSTA Paris | AI | The project aims to develop an AI algorithm capable of reliably and explainably detecting clogging phenomena before they occur. This will make clogging detection more robust. |
| FIBSDIP | Fabien SZMYTKA, ENSTA Paris | MedTech | The project develops flexible patches integrating Bragg grating optical fibers, optimized for accurately measuring local pressure, its spatial gradient, and shear forces, which are essential for adapting prosthetics for people with disabilities, whether for daily life or sports activities. |
| NEWTON | Carl DE SOUSA TRIAS, Télécom SudParis | 5G - Networks | Design of a family of processes and devices for the robust tracing of neural networks, characterized by its versatility in terms of the timing of insertion and its generically applicable nature. |
FASTGLIDE | Yaneck GOTTESMAN, Télécom SudParis | MedTech | Development of an FPM microscopy solution enabling super-resolved images through multiple illuminations. |
| AGIL’COMB | Kamel MERGHEM, Télécom SudParis | Other | This project develops an optical frequency comb generated by a laser diode and an optical feedback loop, allowing the adjustment of the source's coherence to create next-generation fiber optic distributed sensors based on scattering phenomena (Rayleigh, Brillouin, Raman). |
| RIPPLE | Guillaume GRACIANI, Télécom SudParis | Energy - Environment | The project aims to develop a highly amplifying optical cavity coupled with multimodal detection methods to measure pollutants, bacteria, and microplastics in water at very high dilution levels. |