Photo by Maks Houbit

The limitations of current psychedelics

  • High-dose treatment (psychedelic-assisted psychotherapy)
    Psychedelic-assisted psychotherapy uses psychedelics in high doses, which is mentally demanding, has many contraindications and requires a considerable time commitment from a specially trained psychotherapist. It was designed for and will likely be suitable only for mental health disorders.
  • Low-dose treatment (microdosing)
    Microdosing uses low or “subperceptual” doses of psychedelics with some regularity, however, tolerance build up requires breaks between doses, so the effects are not constant. Clinical trials are still needed to show significant therapeutic efficacy and long-term safety (due to risk of 5-HT2B-mediated cardiotoxicity).
  • "Nonpsychedelic psychedelics” (psychoplastogens)
    Some researchers are exploring derivatives of psychedelics that apparently produce therapeutic action (in animal models) with no or minimal psychedelic effects. Because a body of evidence suggests psychedelic and therapeutic effects are closely correlated, these compounds likely act differently, lacking the psychedelic signature efficacy.

Founding team

Our experience in entrepreneurship, applied AI, software development & psychedelic drug design make us a well-rounded team, ready for the new era of drug discovery.

Dr Richard Dallaway

Combined expertise in machine learning and software engineering

Long history of successfully applying AI in different fields

Ing. Jáchym Fibír, MSc

Medicinal chemistry and pharmacology

4yrs of research in psychedelic drug design, including an MSc at UCL

Dr Suran Goonatilake,

AI entrepreneur

Co-founder of AI startup Searchspace ($150m exit)

Professor at UCL Centre for AI

Team

We have recently applied these advanced methods to biometrical discovery, and are now bringing this game changing technology to psychedelic medicine.

Our team has a stellar track record, building and exiting AI companies that have superhuman capabilities to detect complex patterns in data.

Dr. Richard Dallaway
Richard's expertise in AI spans 30 years from his undergraduate in AI, and his DPhil in machine learning at the University of Sussex. He has pioneered the use of deep-learning, evolutionary AI, among others, in fields as diverse as drug discovery to cancer diagnostics, to finding patterns in retail consumer purchase data. Richard combines his expertise in machine learning with deep knowledge of building and deploying large-scale enterprise software systems. He is a frequent speaker at conferences and a thought leader in the application of AI in scientific discovery.

Dr. Suran Goonatilake OBE
Suran is a visiting professor at the Computer Science Department at University College London (UCL) and co-founder of several deep-tech companies. He did his Phd in machine learning at UCL and along with fellow students co-founded Searchspace, a company that detects "unusual patterns" in financial transactions (e.g. insider-dealing), which was acquired by Warburg Pincus. He is co-editor of two books, "Intelligent Systems for Finance and Business" and "Intelligent Hybrid Systems". Suran was made an officer of the Order of the British Empire (OBE) in 2005.

Chris Davidson
Chris has been the co-founder of several tech companies, leading product management in digital media and face recognition offerings. He has business development and consulting experience in pharmaceutical, healthcare and technology industries. His academic background in is Physiological Sciences and Drug Pharmacology from University of Newcastle-upon-Tyne Medical School. As an active public speaker on physical and mental health, Chris is a passionate advocate of psychedelic-assisted psychotherapy with deep knowledge and understanding of the industry.

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