invisensing : sensing beyond and beyond sensing

Team

 

We are a multidisciplinary team of engineers in the energy and transport sectors, driven to produce energy with a lower ecological footprint and to enhance the efficiency of infrastructure (pipelines, railways, etc.). Recognized for our innovation in AI and fiber sensing for industrial applications, we have won Bpifrance’s DeepTech Emergence Grant (2019)RECCI Innovation Competition “Draw Me a Unicorn” (2019), and Prize X-Grant Silicon Valley (2022). Selected by Le Point in 2024, evaluated by Nobel and Turing laureates, and awarded a high-impact collaborative project with Télécom Paris by the Agence Nationale de la Recherche (ANR, 2025), we are developing next-generation technologies that could shape the future of fiber sensing. 

Lionel LHOMMET

Lionel LHOMMET

Managing Director

 Scaling ventures from innovation to market.

Engineer from CentraleSupélec (Paris, France) and MBA from INSEAD (France), serial entrepreneur with a strong track record in building and scaling high-impact technology ventures. Drives strategic vision and execution, transforming advanced innovations into market-leading, revenue-generating solutions in data-driven industries.

Feng YANG

Feng YANG

Senior Researcher, Fiber Sensing

Turning sensing tech into real-world impact.

École Polytechnique (Paris, France) engineer and PhD in Physics, with deep expertise in distributed optical fiber sensing and over eight years of experience in acoustic imaging. Plays a key role in translating complex technologies into deployable solutions, aligning technical capabilities with high-value market opportunities. 
Maëlle DOUKHAN

Maëlle DOUKHAN

CTO (Infrastructure & Software)

Building scalable systems.

Trained at École 42 (founded by Xavier Niel), technology leader with a strong focus on scalability and performance. Architect of the company’s real-time processing infrastructure and software stack, ensuring robust, high-throughput systems that support market-ready solutions and industrial-scale deployment.

Ruixue LIU

Ruixue LIU

Chief Scientific Officer

Driving AI and next-generation detection.

UTC engineering graduate specializing in AI and data science. Leads the development of proprietary signal processing and intelligent detection algorithms, leveraging state-of-the-art deep learning and high-performance computing to establish strong technological differentiation.