AQEMIA AI-Driven Drug Discovery Platform
Generative AI and deep physics platform for next-generation drug discovery
Company profile
Company profile
Aqemia is a biotechnology company reinventing drug discovery through the integration of generative AI and deep physics. The company operates at the intersection of technology and life sciences, developing a proprietary drug discovery pipeline that goes beyond conventional and AI-augmented approaches. Aqemia's platform leverages advanced computational chemistry, machine learning, and quantum physics to design and optimize novel drug candidates at scale. With a multidisciplinary team spanning AI, software engineering, computational chemistry, and drug discovery, Aqemia is building a portfolio of innovative therapeutics. The company maintains offices in both Paris, France and London, UK, positioning itself as a European leader in AI-driven drug discovery. Aqemia's mission-driven culture emphasizes collaboration, ownership, and meaningful impact in advancing medicines that address unmet medical needs.
Company description Aqemia official website
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01 · Operating footprint
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Company milestones
Participating in J.P. Morgan Healthcare Conference 2026 (January), Jefferies Global Healthcare Conference 2025 (November), and Jefferies European Disruptive Tech Conference (October 2025)
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02 · Flagship portfolio
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Generative AI and deep physics platform for next-generation drug discovery
03 · Research intelligence
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Research
Journal of chemical information and modeling · Dec 28, 2020
Tackling Solvent Effects by Coupling Electronic and Molecular Density Functional Theory.Journal of chemical theory and computation · Nov 10, 2020
Predicting Hydration Free Energies of the FreeSolv Database of Drug-like Molecules with Molecular Density Functional Theory.Journal of chemical information and modeling · Jul 27, 2020
Clinical validation
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05 · Leadership
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06 · Company updates
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08 · Official presence
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09 · Market pathway
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Market context
Companies using AI, machine learning, or computational biology to discover new drug candidates, identify drug targets, predict drug efficacy, or accelerate pharmaceutical development. Includes both small molecule and biologics development, precision oncology drug discovery, and AI-driven target identification and molecule design.
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