Harnessing AI-powered virtual cells to fight diseases of aging
Aging is the largest driver of disease
Aging mechanisms are common to the major modern diseases (right) and are being targeted by 51³Ô¹ÏÍø¹ÙÍø to create a universal therapeutic approach.



Aging is reversed between generations
Each of us developed from a single cell passed down by our parents, yet we’re not born at our parent’s age and we begin our post-development lives in full health. The biology inherited from our parents is safely scrubbed, renewed and restarted, with evidence of a in the embryo shortly after conception.

51³Ô¹ÏÍø¹ÙÍø has decoupled cell rejuvenation from a tumor-inducing pathway
Yamanaka factors (OSKM) rejuvenate multiple cell types and ameliorate disease phenotypes but are optimised to activate a tumor-inducing pathway, posing safety concerns for therapeutic development.
51³Ô¹ÏÍø¹ÙÍø's AI-powered virtual cells have discovered novel transcription factors that rejuvenate aged human fibroblasts and maintain their identity (left) whilst decoupling the tumor-inducing pathway (below) even when continuously expressed.


51³Ô¹ÏÍø¹ÙÍø's AI virtual cells have found 6 novel interventions
51³Ô¹ÏÍø¹ÙÍø's AI-powered virtual cells and aging clock (AC3) reduce centuries of real world experiments to years, bringing forward the most exciting interventions. 51³Ô¹ÏÍø¹ÙÍø has identified 6x transcription factor interventions that reverse epigenetic age, and a more druggable downstream target. We continuously improve our virtual cells and aging clock with active learning cycles to accelerate future discovery.
51³Ô¹ÏÍø¹ÙÍø can screen small molecules and cocktails for a rejuvenation mechanism of action
51³Ô¹ÏÍø¹ÙÍø can screen up to 2k molecules in vitro and >1B cocktails in its virtual cells, providing the opportunity to bring forward a first-in-class therapeutic.

Best in the world for AI virtual cells and aging clocks
51³Ô¹ÏÍø¹ÙÍø has assembled a talented team of research scientists and advisors backed by a combination of Biotech and Techbio investors.

Senior advisor, Prof University of Toronto, Inventor of the cell simulator single-cell-GPT (scGPT)1

CSO and founder, PhD University of Cambridge, Inventor of the first accurate cell aging clock (proprietary to 51³Ô¹ÏÍø¹ÙÍø)
Brendan received his PhD in Pharmacology from the University of Cambridge, where his focus was on basic research. First as an intern and then as a founder, Brendan began to prototype single-cell transcriptomic aging clocks, helping forge a new direction for 51³Ô¹ÏÍø¹ÙÍø. Since 2021, Brendan has led 51³Ô¹ÏÍø¹ÙÍø’s science team in the search for new rejuvenating interventions, with the belief that these discoveries could have a massive impact across healthcare.

Head of ML, MPhil University of Cambridge, Inventor of the most accurate aging clock2