Startups resulting from the project teams of the Inria Bordeaux - Sud-Ouest center
Changed on 11/03/2024
16 digital deeptech startups have been set up at the Inria centre in Bordeaux since its creation in 2008. They cover various fields such as robotics, industry, health, energy and sustainable development.
Industry 4.0 and robotics
Luos
Luos is an operating system dedicated to embedded systems. It allows any component or function to be simplified and linked together as a single system image.
Touch Sensity
Touch Sensity is developing an innovative technology capable of making objects and materials sensitive to physical interactions in order to develop sensor systems or intelligent composite materials.
Pollen Robotics
Since 2016, Pollen Robotics has been designing educational robots that make it possible to apprehend programming and artificial intelligence in a playful and interactive way.
Co-Idea
Co-Idea is an EdTech startup project designing digital environments that transform any workspace into an environment dedicated to group activities and interpersonal skills development.
Kune
Kune is a simple and enjoyable way to plan trips. The platform automates repetitive tasks and keeps expenses under control, so users can concentrate on what's important.
Health & wellness
Nurea
Nurea develops tools enabling radiologists and surgeons to facilitate and accelerate the analysis of medical images from scanners or MRI.
RebrAIn
RebrAIn offers precise targeting technology for Deep Brain Stimulation (DBS) to effectively identify areas of the brain to be treated for tremor diseases.
Ullo
Ullo's mission is to propose new approaches to care in order to expand the range of tools available to healthcare personnel in the field of neurodegenerative diseases, or cognitive and neurodevelopmental disorders.
Flit Sport
Flit Sport designs, develops and markets an online app that offers personalised training plans for runners using artificial intelligence.
Bits2beat
Bits2Beat aims at facilitating the early detection of some of the most common cardiovascular diseases, in particular atrial fibrillation, with a follow-up aiming at the prevention of the accidents consecutive to these pathologies, by solving the shortage of the adapted material.
Louise
Louise uses deep learning on a large scale by cross-referencing data from multiple sources to support scientific knowledge in female fertility, including an application that takes the entire conception journey. It also allows to establish fertility profiles and to optimize the solutions proposed to women suffering from infertility.
Energy and sustainable development
iQspot
Created in 2015, iQspot works on the energy transition in the field of professional real estate by offering a solution for the automatic collection and real-time analysis of real estate energy consumption.
Atoptima
Atoptima develops tailor-made optimisation modules for the planning of operations and vehicle routes, thus significantly improving the performance of a system.
DENERGIUM
DENERGIUM, for Digital energy optimum, is a startup from the Inria Startup Studio created by Hervé Mathieu, former head of the experimentation and development department at the Inria Center at Bordeaux University. This innovative startup enables companies to improve their use of digital infrastructures through energy optimization.
Founded in 2016, from the Potioc project-team of Inria and LaBRI
RealityTech offers a collaborative augmented reality technology. Its projection platform makes any table interactive; the physical objects present are then augmented. The user experience is enriched by these new qualities and modes of action, and all kinds of uses can be imagined: new board games, educational applications or new interactive product presentations.
Rhoban System
Founded in 2012, from the Flowers project-team of Inria and LaBRI
Specialist in autonomous robotics, Rhoban System develops autonomous humanoid robots, in particular related to agricultural robotics and the RoboCup.
Siderion Technologies
Founded in 2007 and stopped in 2012, from the Phoenix project-team of Inria and LaBRI
Publisher of application telephony and intelligent call routing solutions.
Vidibio offers a simple solution for scanning hedgerows via smartphone for precise monitoring of biomass and biodiversity. Our technology will improve the deployment of financial incentives for farmers to manage their hedgerows more sustainably.
Poucet is a project dedicated to the testing of web applications. For web tools developers, testing is a necessary but expensive step. These tests are written and often executed by hand with each new version of the application. Poucet observes the behavior of users of these applications and relies on machine learning techniques to generate tests and ensure that users do not encounter bugs.
Afoodiis a foodtech project that aims to reduce the carbon impact of restaurants through a dynamic menu. The automated analysis of purchase data is converted into an eco-score to suggest the plates with the best margins and the lowest ecological impact.
Pontos offers an interactive software to receive sustainable fishing area predictions. These recommendations are based on different types of data and allow fishing captains to anticipate their fishing trip in order to optimize cost and environmental impact. No need to look at the moon or the stars to find landmarks, Pontos takes the uncertainty out of ocean conditions and fights against overfishing to do what was not possible before: predicting fishing areas while respecting the ecosystem and the fish stock.
Nautia trains neural networks to steer boats using reinforcement learning methods. Implanted at the heart of a boat's autopilot, these pre-trained networks will optimize its trajectory in real time. Used on racing yachts, for example, this technology will enable ocean racers to finally benefit from autopilots whose performance approaches or even exceeds that of human helmsmen.
Cape offers a solution for securing communications between multiple stakeholders. To achieve this, it places the users and services concerned within a secure, extensible and dynamic virtual network called capenet. Access to the network and the desired services is provided through the systematic use of public-key cryptography, guaranteeing authentication of the parties involved and encryption of the data exchanged. The network can be dynamically modified and supports equipment mobility.
Ebiose is an open source and open data platform, built by everyone and for everyone, that aims to increase the power of generative AI tenfold. Closed, opaque and expensive models such as ChatGPT have revealed the immense potential of such AIs, but their capabilities remain largely under-exploited. In contrast, Ebiose leverages the tens of thousands of open-source AIs available and builds multi-model, tailor-made AIs, inspired by the engineering of living organisms and the principles of natural selection.
