Alysophil is part of KTUR project

Eager to participate in technology transfer between universities and companies and through its cross-border location, Alysophil participates in the KTUR project. (KTUR)

A major goal of KTUR is to intensify, structure and professionalize cooperation among the transfer actors of the universities involved in the project and among universities, intermediaries, and companies in the trinational Upper Rhine region. The objective is to create a long-term network on the Upper Rhine, forging a common identity in the area of Knowledge and Technology Transfer in this region. Through increased exchange and cooperation, existing barriers can be reduced, significantly simplifying and enhancing cross-border contacts and project initiation between universities and companies.

Sans titre

Alysophil attended at the Flow Chemistry Europe conference which took place at Cambridge (UK), in the charming setting of the Wellcome Genome Conference Centre in Hinxton, on March 3-4, 2020.

For us it was an opportunity to get a global view on the application of microfluidic technologies in different fields of chemistry, in academia and in industry. We were able to see that this innovative approach to chemical production is perfectly in line with our main areas of interest, including process automation, the valorization of biosourced resources and the manufacture of microfluidic reactors adapted to the requirements of the reactions. In addition, all the oral and poster presentations and exchanges we had during the two days were inspiring for new ideas for our future projects.


Alysophil generates library of one million new molecules, their properties and markets, using its artificial neural networks

Catalog will enable Alysophil to offer novel solutions to meet needs of its partners in defense and space sectors, as well as cosmetics, flavors and fragrances

Alysophil SAS, developers of a new industrial approach based on continuous flow chemistry, today announces the creation of a library of one million molecules that have not yet been synthesized. The library was built using several deep neural networks trained since 2017. Its creation is part of an approach combining deep learning technologies with deep tech industrial activity.

Alysophil aims to develop a new industrial chemistry based on innovative processes together with its artificial intelligence tools (ALChemAI). This project, which was end to end led by Alysophil’s R&D team to support its industrial teams, shows that it is possible to create molecules in silico for a specific market, using connected AI algorithms. This database will allow Alysophil to meet the challenges of complex customer and stakeholder requirements and produce the relevant molecules on a short-cycle basis, using new syntheses made possible by flow chemistry.

In addition to their molecular structures, the database includes the physical and chemical properties of the molecules, along with any societal or economic data related to human perception (e.g. odor, toxicology, potential applications, economic sector and synthesizability). It will be regularly updated, whenever an underlying algorithm is improved and as new algorithms and data become available.

“This marks an important milestone for our company,” said Philippe Robin, CEO and co- founder of Alysophil. “With this catalog we will be able to promptly offer novel solutions to meet our partners’ needs, while setting out manufacturing processes with a reduced environmental impact, by using flow chemistry manufacturing (biosourced raw materials, reduced use of solvents and energy, reduced waste and the ability to manufacture at various scales). This work perfectly represents our philosophy in action: flow chemistry empowered by artificial intelligence.”

This repository was built by combining a molecular generator that uses latent space and a set of neural networks trained on criteria such as toxicology, organoleptic properties, economic sectors and markets, with some models also linked to genetic algorithms. As the technologies in use are constantly evolving, the algorithms and results are recorded in the blockchain with a certified date as proof of precedence.

“Our work meets the challenges in the rapid development of multifunctional molecules for markets that demand significant innovation, such as the defense and aerospace sector and the cosmetics, flavors and fragrances sector,” said Luc Brunet, co-founder in charge of R&D and AI. “Our partners tend to be global companies, primarily based in Europe and India. Our aim is to play an active role in transforming the industry in the OECD economies – in the United States in particular – and in fields such as electronics and other users of high value molecules, where our technologies could lead to breakthrough innovations.”

This development, announced by Alysophil, forms part of its future-oriented approach in smart manufacturing. It demonstrates the relevance of combining deep learning and deep tech capabilities. Development processes are greatly reduced thanks to these innovative tools and approaches, stemming from applied research. In its 2019 report, Accenture said that “artificial intelligence and blockchain have the potential to transform both the chemical industry and the industry as a whole.”


New paper out! “Development of a sustainable continuous flow approach toward allantoin”, published in Journal of Flow Chemistry

Our colleague Elena Salvadeo worked in collaboration with Jean-Christophe Monbaliu (Citos, University of Liege) on a new way to produce Allantoin in flow chemistry.


Allantoin is a commodity molecule widely used in cosmetic and pharmaceutical industry for its moisturizing properties. Although allantoin is a naturally occurring compound, its extraction is not economically viable on the industrial scale. Its production relies on urea and glyoxylic acid as starting materials. Current methods need long reaction times and use additives that raise safety and environmental issues. This work presents a novel process toward allantoin that uses Design of Experiments (DoE) and flow chemistry techniques. Intensified continuous flow conditions enable the preparation of high purity allantoin with a productivity of isolated product of 4.65 g h−1. The research of alternative and more environmental friendly additives for the preparation of allantoin emphasizes that glyoxylic acid itself (in slight excess) is an effective catalyst for the reaction, paving the way to the development of more sustainable synthetic processes.


Deep Tech Pioneer

Among 5000 participants from 128 countries, Alysophil has been selected Deep Tech Pioneer in the Hello Tomorrow challenge. This is a new recognition of our ideas! The adventure continues. Come and meet us on March 12 and 13, 2020 at the Hello Tomorrow Summit in Paris.


CiTOS-Alysophil partnership

Alysophil is pleased to announce the signature of a partnership with the Center for Integrated Technology and Organic Synthesis (CiTOS) at the Liege’s university (Belgium, led by Prof. Jean-Christophe Monbaliu. This partnership will contribute to Alysophil’s development in continuous flow processes. Alysophil has chosen to get the most of flow processes by combining developments with artificial intelligence tools. This is how we can offer innovative solutions for the production of molecules, reaching new industrial performance standards.


Molecule for the cosmetic market

Alysophil is developing a new way of producing an essential component of cosmetics. The objective is to find a safer process while reducing production costs by guaranteeing the same quality as the products currently on the market.