About Inria centre at Université Côte d’Azur startups

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.

Pulse Audition is a new start-up aimed at helping the hard of hearing to hold conversations in noisy environments and to maintain an active social life through the use of spectacle hearing systems equipped with artificial intelligence.

What the two creators, Manuel Pariente and Thibaud Moufle-Milot have come up with is a pair of glasses which, although they might look ordinary, are fitted with microphones capturing sound through 360°, sensors which detect which way the person is facing, and technology for transmitting sound through bone conduction via the temples of the glasses, keeping the ear canal clear.

Invisible, but vital, artificial intelligence and signal processing software records all sounds in order to map the “auditory scene”. This map is then cross-referenced with facial orientation in order to determine the conversation that the wearer of the glasses wants to follow. This conversation is then “cleaned up” of any noise, echoes or reverberations, delivering optimal clarity.

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.

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.

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.