Aqemia is a pharmatech company using quantum physics and artificial intelligence to transform the drug discovery process. With a unique proprietary technology that preclude the use of experimental data, our pipeline scales the drug discovery process at an unprecedented pace, generating an exhaustive number of new drug candidates.
We are hiring! Check our career website: https://jobs.lever.co/aqemia.com

Blog Posts on: https://medium.com/aqemia

Elaia

Bpifrance

Eurazeo

AQEMIA

AQEMIA and Sanofi embark on a groundbreaking $140 million drug discovery collaboration!

This new collaboration aims at scaling up our ongoing R&D work and successes with Sanofi to several targets in various therapeutic areas.

We will leverage Aqemia's unique GenAI x Deep physics to invent new drugs  faster together with Sanofi's experts.

This marks a turning point in Aqemia's history since its inception 4 years ago, and we can't wait to continue pushing boundaries of drug discovery with our amazing team and partners.

Check out for more details in the press release below 👇 


#drugdiscovery #pharma #genAI #quantumphysics #biotech #ai 

cc Laurent Schio Jean Philippe Rameau Houman Ashrafian Frank Nestle Dr. Thomas Licher Brian Bronk Audrey Derveloy Jacques Volckmann Nicolas Canouï Jean-Charles Bodet

Our co-founders Maximilien Levesque and Emmanuelle Martiano are at the JPMorgan 2024 conference in SF. Reach-out to them!

#jpm2024 #jpmorgan #jpm #pharma #biotech #techbio

Thanks to Walden Catalyst Ventures, Lakestar and Dealroom.co for featuring AQEMIA in the 3rd report on European Deep Tech, launched at Slush 🚀

If you're eager to explore the dynamic landscape of European deep tech, don't miss out on this report! Dive in for insights and inspiration through the link below. 👇😉 
https://lnkd.in/erArht7R

cc Maximilien Levesque Emmanuelle Martiano Rolland Nicolas Autret Lukas Leitner Mistral AI Google DeepMind Exscientia DNA Script

Our team is thrilled to welcome you at the Forum Horizon Chimie 🧪

Calling all students and others with a passion for #drugdiscovery and a drive to make a difference 👉 We have over 30 positions available for individuals who are eager to contribute to the next generation of life-changing drugs (link in the 1st comment). 

Thanks to Chimie ParisTech - PSL, ESPCI Paris - PSL, ENSIC et ECPM Ecole européenne de chimie polymères et matériaux de Strasbourg for your warm welcome! 

Due to our fantastic team, AQEMIA is well represented on this day! Piermichele Kobauri Nicolas George Salete Baptista Alessio Prunotto 

#jobopportunities #forum #drug #AI #deeptech 

Maximilien Levesque Emmanuelle Martiano Rolland Marion Birolini

Thrilled to have had the opportunity to share our perspective at #BIG! 

A heartfelt thank you to Bpifrance for allowing our cofounders, Maximilien Levesque and Emmanuelle Martiano Rolland, to showcase our vision of #drug #discovery and #entrepreneurship through several enlightening talks. 

A big salute to the teams of Bpifrance and Nicolas Dufourcq for orchestrating this impressive business event, the largest of its kind in Europe! 

Even prouder to have moderated a debate with Laurent Schio, Head of Integrated Drug Discovery at Sanofi, and walk on the same stage as such exceptionally inspiring people: Paul-François Fournier (Bpifrance), Xavier Niel, Alain Aspect (2022 Nobel Prize in Physics), Bruno Le Maire, David Louapre (Ubisoft), Xavier Dorison, Gilles Moreau (Verkor), Xavier Fontanet (Essilor), Sophie Brac de la Perrière (Healshape) 🌟

cc Rosalie MAURISSE Catherine Borg Capra Sophie Rémont Laurent Higueret Maïlys Ferrere

Another proud moment for AQEMIA to be named among the top 11 #drug #discovery startups to watch, as recognized by #VCs 👀
 
A special thanks to Alexandre Momeni from General Catalyst for this spotlight. We extend our heartfelt thanks to Sifted for the recognition!

Explore the article 🔎 https://lnkd.in/eaAwX7Cc   

#drugdiscovery #AI #VCs 

cc Maximilien Levesque Emmanuelle Martiano Rolland Nicolas Canoui Marion Birolini

🚀 Explore exciting opportunities at AQEMIA's booth during the X-Forum! 

Join us to learn about our fantastic team and groundbreaking work in #DrugDiscovery. Let's shape the future together! 

Discover a multitude of #JobOpportunities that could be the launchpad of your career! Link in the 1st comment 👇 

Maximilien Levesque Emmanuelle Martiano Rolland Nicolas Canoui Aloÿs Augustin Louise Lecointre Khaoula Belahsen Toby Johnstone École Polytechnique

Exciting announcement: AQEMIA has been chosen as one of the seven pioneering AI/ML for Life Sciences companies revolutionizing drug discovery and development.

We're thrilled to join six other leading AI/ML innovators recognized in the prestigious Clarivate Companies to Watch report. We're truly privileged to stand as ambassadors for France and Europe, but also share this stage with esteemed counterparts from the USA, Israel, South Korea, and the UK.

Congrats to the other companies Auransa Enveda Biosciences PharOS Ltd Quris AI Relation Therapeutics SandboxAQ! 

Find the full press release in the article below 👇 

cc Emmanuelle Martiano Rolland Maximilien Levesque Nicolas Canoui Marion Birolini Antoine Zins (Eurazeo) Laurent Higueret (Bpifrance) Sofia Dahoune (Elaia)

AQEMIA is proud to be laureate of La French Tech 2030. 🚀🚀🚀  


#france2030 #innovation #deeptech #drugdiscovery #growth #tech #startups

cc Clara Chappaz Lise ALTER Jean-Noël Barrot Ecole normale supérieure - PSL Research University CNRS #france

We are happy to see you tonight at 19h at PariSanté Campus for the 41st edition of the Meetup Paris Data Ladies 🚀 🚀 🚀 
You will have the opportunity to meet Khaoula Belahsen, our Hit Identification Team Leader, who will speak about Active Learning for virtual screening of molecules in drug discovery 💊  

You can access virtually the session through this link: https://lnkd.in/exVF_kWC
#drugdiscovery #paris #sciences

Domain Not Resolving

HSTS

CrUX Dataset

CrUX Top 10m

Amazon Elastic Load Balancing

Amazon ELB North Virginia

Engineering

Arnold Wakim

Program and Project Management

Athena Li, PhD

Operations

Emmanuelle Martiano Rolland

Gaspard Debussche

Business Management

Ingrid Delval

Human Resources

Marion Birolini

Information Technology

Marion Sauvage

Maximilien Levesque

Nicolas Canoui

Tristan Bertin

CEO and co-founder

Emmanuelle Rolland-Martiano

COO and Co-Founder

Magali Beffy

Europe Life Science Companies

Europe Companies (Top 10K)

Machine Learning Companies with Early Stage Venture Funding

Machine Learning Early Stage Companies With More Than 50 Employees

Aqemia is a next-gen pharmatech company generating one of the world's fastest-growing drug discovery pipeline. Our mission is to design fast innovative drug candidates for dozens of critical diseases. What sets us apart is our unique quantum and statistical mechanics algorithms fuelling a generative AI to design novel drug candidates. The disruptive speed and accuracy of our technology platform allows us to scale drug discovery projects as technology projects.

Wendel Growth

Series A - AQEMIA

Pre Seed Round - AQEMIA

Paris

Ile-de-France

France

Europe

AQEMIA Achieves Research Milestone Against Undruggable Target in Immuno-Oncology with Servier

Dentons advises Bpifrance Large Venture in second round of financing of Aqemia of 30 million euros

Aqemia wins $32.5m for generative AI-powered drug discovery platform

5 things to know about Paris-based Aqemia using Gen AI and quantum to design new drugs and has raised €60M

5 things to know about Paris-based Aqemia using Gen AI and quantum to design new drugs and has raised €60M — TFN

Gen AI and quantum to design new drugs: Paris-based Aqemia completes €60m Series A

Leverages quantum-inspired physics and machine learning to scale the drug discovery process without the need for experimental data.

Utilizes generative AI guided by quantum physics algorithms to discover drug candidates rapidly.

Focuses on accelerating research projects to scale up to numerous drug candidates for clinical trials.

Argentina

South America

AQEMIA is a next-generation pharmatech company with a unique-in-the-world technology combining quantum-inspired physics and machine learning. Their mission is to scale the drug discovery process by leveraging their innovative algorithms and generative AI to design fast innovative drug candidates for critical diseases.

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