About Inria centre at Université Côte d’Azur startups

Changed on 19/02/2024

For over 40 years, the centre has been supporting researchers and engineers in the creation of startup companies. From the original results of our research, entrepreneurs appropriate technologies to explore new business opportunities. The fields of application are vast: Agriculture of the future (AgTech), health technologies (MedTech), industry of the future (Smart Manufacturing), new forms of mobility (CleanTech). They reflect the richness and diversity of the research conducted at Sophia Antipolis.


Comparison of experimental (top) and simulated (bottom) sEMG signals for the left wrist flexion and extension. The experimental signals were measured with 8 bipolar electrodes located around the forearm. For simulation, the flexor (green) and extensor (blue) muscle groups were activated in turn with activation peaks aligned with the experimental signal peaks.


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

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.

Our other MedTech startups

AgTech & BioTech

Production de film microalgues


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.

visuel biomathematica


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.

Artificial Intelligence

trainingDeep Learning networks to create the next generation of vision-based applications

AI Verse

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

Geometry Factory

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.

More startups to discover

  • Activeeon: Financial analysis, machine learning, artificial intelligence or the Internet of Things generate large amounts of data and require significant processing times. To meet these needs, Activeeon develops tools to automate and accelerate data processing. The startup is among the 2019 promotion of companies entering the "Microsoft AI Factory" program, Microsoft's incubator at Station F. More about Activeeon
  • Mnemotix: a cooperative digital "smart-up", born from the Inria WIMMICS project team, promoting and managing the use and integration of semantic technologies in corporate information systems. Mnemotis develops software solutions that ease the tasks of extracting, structuring and sharing knowledge inside communities. More about Mnemotix
  • Vulog: created in 2006 by Georges Gallais and David Emsellem, Inria researchers, Vulog is one of the world leaders in car sharing. The company develops software solutions that enable all types of fleets (electric, thermal, two- and four-wheelers) to be car-shared, for self-service car-sharing in cities or for companies in order to optimise their fleets. More about Vulog

From idea to project: they are launching!

  • CellEmax (Project leader: Marielle Péré, Jérémie Roux)

The lack of efficacy of targeted therapies in oncology is due to molecular mechanisms of non-genetic resistance: these molecular mechanisms are potential targets for combination therapy. CellEmax technology combining live cell imaging and machine learning enables the identification of these molecular targets, and is the key to designing rational therapeutic combinations, guaranteeing the success of immunotherapies currently in development

  • SequoIA Analytics (Project leader: Daniel Mata Flores)

SequoIA Analytics is developing a road traffic monitoring solution using information from telecommunication fiber optic cables. The project is based on artificial intelligence that exploits the low-level road traffic noise that disrupts the optical signal. The applications are numerous, and include pedestrian areas and public transport, as well as infrastructure monitoring (bridges, railroads, etc.).

  • VerbaLIA (Project leaders: Pranav Balaji, Tashvik Dhamija)

VerbaLIA, is an AI-powered video content creation service for corporations. The aim is for corporations to generate high-quality videos effortlessly in any language, on any topic, and tailored to their brand identity. VerbaLIA will be a one-stop video content generation platform without requiring computergraphics (CG), 3D models, and actors. The VerbaLIA team believes large-scale video creation's future lies in automated video generation, which is inherently content, identity, and language flexible.


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