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ABOUT US
A tool to empower your R&D efforts in Chemistry

About us

Developed by the MAYFAIR VILLAGE® team, CHEMY LANE® solution is revolutionizing the world of chemical R&D with an AI-powered platform. It extracts and structures vast amounts of technical data from scientific literature, which can then be enriched with strategic information from various related fields.

CHEMY LANE also helps manage the growing influx of scientific articles, patents, and AI-generated proposals in chemistry. It is the ideal weapon for industry professionals to select and filter the continuous flow of innovation proposals, preventing them from being overwhelmed by an excess of unverified information.

Our user-friendly and ergonomic SaaS solution functions both as an ultra-fast intelligent reader and as a true “idea laboratory,” accelerating R&D and opening new research avenues from the earliest stages of a project. Particular attention is given to environmental challenges, allowing the identification of the least ecotoxic substitute molecules.

CHEMY LANE’s value begins where generative LLM applications reach their limits: our highly specialized solution operates at the heart of scientific research, whether public or private. We are committed to assisting researchers by providing them with tools to optimize their creativity while preserving their autonomy in relation to the machine.

With its advanced analysis engine integrating natural language processing, CHEMY LANE recommends publications and extracts complete, scored data from a metabase of 120 million articles. These data are then refined, structured, and customized, notably through the “Collections Management” function, ensuring full traceability of research history. The result? A significant gain in time and efficiency for researchers and their teams, with complete confidentiality.

Whether for defining or deepening a research topic, writing a literature review, highlighting the originality and innovation of an early-stage project, assessing the ecotoxic impact of a formulation, or comparing one’s research to the state of the art, CHEMY LANE offers an unprecedented and powerful research assistant.

Our tool addresses several major challenges:
Accelerating innovation from the initial project phase
Exploring and expanding new research pathways
Efficiently managing the growing volume of publications and data
Promoting sustainable and responsible development
Optimizing costs associated with scientific documentation
Encouraging a rational and carbon-compensated use of AI

CHEMY LANE is artificial intelligence at the service of researchers—for faster, more efficient, and more sustainable R&D.

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our-team

OUR TEAM

Experts passionate about AI, tech and sustainability.

We are a team of top-tier engineers passionate about innovation and AI, committed to developing a more sustainable world. We value intrapreneurship and encourage our employees to make meaningful contributions.

At Mayfair Village, we prioritize ecological anchoring in the development of our products. Our tools are designed with minimal energy consumption, contributing to the preservation of the environment.

Furthermore, to help researchers integrate the best environmental parameters, our literature review associates an ecological score with experimental plans.

Finally, we calculate the carbon equivalent cost of each use of the application according to ‘Scope 2’ of the ‘GHG Protocol’. This total will be converted into metric tons of carbon equivalent (tCO₂) and valued based on the prevailing price in the voluntary offset market. This amount will be donated at the end of the year to a publicly recognized environmental association.

Michel Vaudescal​

Michel Vaudescal​

Co-Founder - Business Development North America

Cédric Paasché

Cédric Paasché

Co-founder - President

Laurence Favand

Laurence Favand

Chief Financial Officer

Robin Fuchs

Robin Fuchs

Chief Operating Officer

Jean Dupuy

Jean Dupuy

Data Scientist

Image from Google Drive

Laurence-Olivier Couillard

Sales Director, France

Philippe Béland

Philippe Béland

Product Manager

Dionisie Calistru

Dionisie Calistru

MLOPS

Vaibhav Verma

Vaibhav Verma

Software Engineer - Backend Developer

Rushi Chandalia

Rushi Chandalia

Software Engineer - Frontend Developer

Gurpreet Singh

Gurpreet Singh

Software Engineer - Frontend Developer

Moi 2024

Jean Baylon

Data Engineer

Your chemistry research assistant powered by AI

Exhaustiveness is the very foundation of a literature review.

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