A consortium representing the jewel in the crown of the Data / Sovereign AI ecosystem

‍Theconsortium awarded the Cap Digital label brings together expert members such as Cleyrop, publisher of a sovereign data platform, CEA-LIST, CEA's Text and Image Semantic Analysis laboratory, Ekimetrics France, French leader in Data Science and La Forge, Product Studio expert in the development of AI software products. They also benefit from the support of renowned industrial and institutional partners, notably the Health Data Hub, a public structure aiming to facilitate access to healthcare data to improve the quality of care, and Reporters Sans Frontières, a 1901 association promoting freedom, pluralism and independence in journalism. The IHU FOReSIGHT, which accelerates research and access to therapeutic innovations in ophthalmology, also joins them as a business partner to enable the exploitation of ophthalmological data through natural language queries. The Crédit Agricole Group's DataLab, a state-of-the-art technology hub dedicated to DATA & AI projects, will also act as a beta tester for the solution.

Cleyrop, as project leader, is developing a secure SaaS platform for data management, covering all functionalities of the data lifecycle, from data collection to hosting, processing and analysis. This centralized solution is designed to industrialize and democratize data and AI projects. The Ogma project is therefore in line with Cleyrop's strategy of democratizing data access and use for all within a trusted framework.

‍OGMA: a trusted environment and data control for organizations‍

The OGMA project aims to revolutionize the way information is searched, reconciled, sorted, verified, reformulated, synthesized and presented, by leveraging fast-growing NLP and GenAI capabilities. It targets potential use cases such as rapid access to information, task automation, improved decision-making and content generation.

The OGMA project aims to build a sovereign generative AI offering for the enterprise, fostering an environment of trust and data control. It seeks to reinforce the mastery of knowledge by professionals and citizens, while improving the trust and security of generative AI in the enterprise. The project is committed to integrating the principles of responsible AI, including transparency, safety, interpretability, explicability, vigilance, robustness and sustainability.

The three key elements of the OGMA project include a robust, secure and sovereign infrastructure, a high-performance open source generative AI software library, and deployment through business uses, thus facilitating the adoption of these emerging technologies within companies and public services.

‍Ogma: contributing to the national strategy for AI and the public goodWiththe Cap Digital label in hand, the OGMA consortium is ready to take up the challenge of widespread adoption of generative AI solutions, offering new opportunities for businesses and public services to take advantage of these emerging technologies.

"The project has very strong innovative potential: a new type of service for French industry will be offered through an effort of architectural integration and methodological specification. A very important project, confronted with numerous scientific, technical and practical obstacles. The project led by Cleyrop and its partners is very well aligned with Cap Digital's roadmap on the challenges of trusted, frugal and sovereign digital technologies. Cap Digital assures its support to the project and will accompany the consortium and participate in the dissemination of results throughout the project. "Charles Huot, President of the Cap Digital Competitiveness Cluster.

With this in mind, the consortium is keen to play an active role in the second phase of the national AI strategy, focusing on transforming research and development potential into economic success. With this in mind, at the end of this year they are responding to the new call for projects to provide "digital commons for generative AI" launched by France 2030, the BPI and the DGE. An ambitious approach to industrial and academic research, to go beyond the state of the art while securing operational performance