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Muzzo is an AI-powered recruitment marketplace that focuses on enhancing the talent acquisition process. It offers an intelligent platform designed to match employers with suitable headhunters. Utilizing a sophisticated matching algorithm, Muzzo scans job offers and generates a list of top-performing recruiters tailored to specific job categories, considering factors such as location, experience level, and proven success rates. This approach aims to streamline the recruitment process, allowing businesses to identify and engage qualified candidates more efficiently.

Echoliv is a medical technology company specializing in artificial intelligence solutions for abdominal ultrasound. The company develops software designed to assist radiologists and hepatologists in early-stage screening for hepatocellular carcinoma, the most common type of liver cancer. Echoliv's flagship product, Ultraliv, employs advanced algorithms to identify nodules that may be overlooked by practitioners, enhancing diagnostic accuracy and improving patient care. By integrating AI into the ultrasound process, Echoliv aims to support healthcare professionals in delivering timely and effective treatment for liver cancer.

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Developer of artificial intelligence-augmented engineering software designed to automate engineer's tasks. The company's platform solves engineering problems based on innovative artificial intelligence from a blank sheet to the detailed design of the different components, enabling automotive and mechanical engineers to increase their profit margins and find totally innovative approaches to engineering challenges.

Aleia is an IT firm based in Paris, France, founded in 2020. The company specializes in providing a platform that supports individuals and organizations in their artificial intelligence projects. Aleia's platform offers an open, secure, and industrialized solution that accelerates the development of AI applications. It enables users to extract, prepare, and process data, facilitating the design, optimization, and deployment of machine learning workflows from experimentation to production. By doing so, Aleia helps organizations enhance the performance of their AI initiatives and streamlines the transition from project conception to operational deployment.

GrAI Matter Labs utilizes biology-inspired spiking neural networks to overcome the limitations of traditional Von Neumann machines and application processors. Their massively parallel, fully programmable compute technology enables multi-modal sensor analytics and dynamic machine learning at low power levels not feasible before. Combining next generation neuromorphic compute with cutting edge silicon technologies brings AI to every edge device across the Internet of Things without the need for cloud computing support.

We develop pioneering technology to empower analysts to take smart actions for a safer world. Our artificial intelligence solutions are based on an automated analysis of geospatial intelligence (GEOINT) workflows. Powering state-of-the-art Machine Learning and Computer Vision, we aggregate information from multi-intelligence sources (Multi-INT), such as imagery (IMINT), electromagnetic (ELINT), or open source (OSINT), to provide our Defence and Intelligence customers with strategic knowledge regarding mission critical areas of interest ensuring a more insightful operating picture.

Owkin is an artificial intelligence company founded in 2016, with headquarters in New York and an additional office in Paris. The company focuses on developing machine learning software for medical research, enabling researchers to test AI models on distributed data. Owkin's offerings include Owkin Lab, which facilitates data connectivity by therapeutic area; Owkin Loop, which provides validated and packaged models; and a comprehensive software stack for full-stack services. The company currently has 30 live models and an additional 40 in development. Owkin aims to empower medical researchers in hospitals, universities, and pharmaceutical companies to better understand variations in drug efficacy among patients, enhance the drug development process, and identify optimal treatments for individual patients, ultimately improving treatment outcomes. The company is supported by various investors and has a scientific board to guide its research initiatives.

Owkin is an artificial intelligence company founded in 2016, with headquarters in New York and an additional office in Paris. The company focuses on developing machine learning software for medical research, enabling researchers to test AI models on distributed data. Owkin's offerings include Owkin Lab, which facilitates data connectivity by therapeutic area; Owkin Loop, which provides validated and packaged models; and a comprehensive software stack for full-stack services. The company currently has 30 live models and an additional 40 in development. Owkin aims to empower medical researchers in hospitals, universities, and pharmaceutical companies to better understand variations in drug efficacy among patients, enhance the drug development process, and identify optimal treatments for individual patients, ultimately improving treatment outcomes. The company is supported by various investors and has a scientific board to guide its research initiatives.

Cartesiam SAS is a French company founded in 2016, specializing in artificial intelligence software for microcontrollers. Based in Toulon, the company has developed NanoEdge AI, a technology that enables machine learning and data analysis directly on microcontrollers, enhancing the intelligence of connected devices. Cartesiam focuses on making objects smarter and more intuitive, addressing key challenges such as energy efficiency, security, and ease of deployment. The team consists of a diverse group of professionals, including mathematicians, engineers, and data scientists, all dedicated to advancing the capabilities of microcontroller-based applications in various industries.

Prevision.io SAS is a Paris-based company that offers an automated machine learning platform designed to help users generate and deploy accurate predictive models. Founded in 2016, the platform enables users, regardless of their technical expertise, to create standalone models using their enterprise data. Through its advanced data analysis and machine learning capabilities, Prevision.io supports various sectors, including finance, marketing, energy, and banking. The platform facilitates predictions related to sales, inventory consumption trends, and energy usage, as well as optimizing maintenance operations and quality control. Additionally, it features tools for automating email classification and analyzing product descriptions to enhance operational efficiency. By reducing implementation time and improving productivity for both data scientists and business analysts, Prevision.io empowers organizations to make informed strategic decisions based on data-driven insights.

We develop pioneering technology to empower analysts to take smart actions for a safer world. Our artificial intelligence solutions are based on an automated analysis of geospatial intelligence (GEOINT) workflows. Powering state-of-the-art Machine Learning and Computer Vision, we aggregate information from multi-intelligence sources (Multi-INT), such as imagery (IMINT), electromagnetic (ELINT), or open source (OSINT), to provide our Defence and Intelligence customers with strategic knowledge regarding mission critical areas of interest ensuring a more insightful operating picture.

Deepomatic is a Paris-based company founded in 2014 that specializes in AI-driven software solutions for computer vision. It offers tools such as Deepomatic Studio, which enables users to design custom video recognition systems, and Deepomatic Run, which facilitates the operation of image recognition applications in production. The platform allows businesses to address image-related challenges by uploading images, training models through manual annotation and active learning, and deploying APIs. Deepomatic serves a diverse clientele, including Global 500 companies across various sectors such as automotive, healthcare, construction, oil and gas, pharmaceuticals, public transport, and retail. The company also has an office in New York, further expanding its reach in the technology landscape.