Rahko is solving drug discovery with quantum machine learning
Rahko is a quantum machine learning company cutting the cost and time to discover and develop new drugs.
Drug discovery today is slow and expensive, limiting our ability to effectively and safely prevent and treat diseases.
Rahko brings together three technologies in its proprietary quantum discovery platform Hyrax: computational chemistry, machine learning and quantum computing. Hyrax enables faster and cheaper drug discovery with AI today, and discovery with significantly higher prediction accuracy using quantum computing tomorrow.
Rahko is advised by several of the world’s leading scientists in quantum machine learning and machine learning for quantum chemistry, and backed by leading venture capital firms.
Rahko’s customers include several multinational pharmaceutical manufacturers and discovery CROs. Partners include AWS, IBM, Nvidia and Microsoft.
Leonard WossnigChief Executive Officer and Co-founder
Edward GrantChief Science Officer and Co-founder
Miriam ChaChief Operating Officer and Co-founder
Ian HorobinExecutive Chairman and Co-founder
Prof Alexandre TkatchenkoProfessor of Theoretical Chemical Physics, University of Luxembourg
Prof Gábor CsányiProfessor of Molecular Modelling, University of Cambridge
Dr Cedric WeberSnr Lecturer/Assoc Prof, King's College London
Dr George BoothReader in Theoretical Physics, King's College London
Prof Jonathan TennysonProfessor of Physics, UCL / Chief Scientist, Quantemol / Founder, ExoMol
Prof Mike PayneChair of Computational Physics, Univ. of Cambridge
Peter MountneyCEO, Odin Vision / Royal Society and UCL Entrepreneur in Residence
John SpindlerCEO, Capital Enterprise / CEO, AI Seed
Andy MartynFormer CTO, Omnicision
Advisors & Investors
Computation of molecular excited states on IBMQ using a Discriminative Variational Quantum EigensolverView Publication
Machine learning logical gates for quantum error correctionView Publication
New Journal of Physics
Modelling non-markovian quantum processes with recurrent neural networksView Publication
New Journal of Physics
Adversarial quantum circuit learning for pure state approximationView Publication
Blog & News
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