About Inria centre at Université Côte d’Azur startups

Based on cutting-edge research in cardiac electrophysiology conducted by the IHU Liryc in Bordeaux and in digital science by Inria's EPIONE project team, inHEART technology generates a 3D map of the heart from medical images. This technology enables cardiologists to plan and guide their catheter ablation procedures on patients with arrhythmias, thanks to real-time visualization of their instruments within the patient's virtual heart.

Resulting from the Inria Startup studio program, the Inria's support program dedicated to all digital deeptech startups, Neurodec is developing a myoelectric digital twin. This personalized electromyography (EMG) simulator processes and decodes muscle signals to transform them into the movement of a prosthesis or to control a virtual avatar. The software developed by Neurodec generates highly realistic simulated EMG data, which can be used to augment and potentially replace real data to train and test Artificial Intelligence algorithms.

The blue biotechnologies are booming: they are committed to a sustainable economy. In this sense, the development of the microalgae sector is essential and promising. However, it is necessary to select more efficient microorganisms. DareWin Evolution uses an innovative approach of dynamic Darwinian selection to naturally increase the productivity of microalgae for the production of molecules of interest.

Specialized in the mathematical modeling of omic networks, Biomathematica develops innovative and evolutionary metabolic models at the genome scale to characterize and understand a biological process from simulation to control in order to optimize and/or modify its behaviour. In collaboration with Michigan State University, the company is recipient of a two-year NASA Astrobiology/Exobiology grant to fund research on modeling the evolutionary origin of diverse microbial metabolisms.

Inalve’s goal is to use a forward-thinking solution to tackle the enormous challenge of feeding livestock sustainably in a context of likely shortages of fishmeal and plant protein. Winner of the international Innovation 2030 competition, the young biotechnology start-up inalve enjoyed a successful fundraising round, giving the company the opportunity to set up its industrial pilot, initially targeted at fish farming, in the south of France.

AI Verse is developing a software solution for the automatic generation of synthetic datasets for artificial vision applications. These datasets are labelled and optimised for training Deep Learning networks. The solution allows any Machine Learning engineer to obtain a dataset of several hundred thousand images in just a few hours instead of the weeks or months required by current methods. Thanks to its disruptive solution, which is fast, inexpensive and deployed on the cloud, the startup intends to generalize access to data and therefore to Deep Learning techniques. AI Verse is aimed at any organization, small, medium or large, industrial or academic, needing labelled images to develop their Deep Learning applications, whether in the fields of robotics, virtual and augmented reality, home automation, or even smart cities and intelligent assistants.

Geometry Factory provides flexible, reusable and cross-platform geometric software components. By offering field-proven C++ components, which are part of CGAL, the Computational Geometry Algorithms Library, along with expert services the company helps customers save valuable development time and focus on their core competencies.