FAQ

What we get asked about scope, evidence, timelines, and claims.

This page answers the operating questions that matter before partnership, investment, or review, with concise boundaries around science, evidence, timelines, and claims.

FAQ

The questions, answered plainly.

01 What does AGEMICA actually do? +
We design peptide therapies and vaccines using AI, then validate them in ex vivo human cell models. Our scientific work is preclinical.
02 Are these drugs available to patients? +
No. Everything described is preclinical. We make no claim of clinical benefit in humans until human trials advance through proper gates.
03 How is your AI different from other drug-discovery AI? +
We are designed for combinations of approved or clinically characterized drugs against multi-omics tumor signatures. Most drug-discovery AI optimizes single molecules; we optimize ranked combinations and peptide candidates.
04 What does "100% cancer cell death" mean? +
It is an ex vivo readout in selected human cancer cell models, in defined assay conditions. It is not a claim of human clinical efficacy.
05 Why peptides? +
Peptides sit between small molecules and biologics - programmable, manufacturable, and immunogenically tunable. They translate AI predictions into synthesizable molecules in days, not months.
06 What is the XPRIZE involvement? +
AGEMICA is an XPRIZE Healthspan semifinalist in a $101M competition to demonstrate functional age reversal in older adults.
07 Where is the team based? +
Stanford and Cambridge. Operations are distributed; our wet-lab work runs through partnered facilities.
08 Who is funding the work? +
  • R42 Group
  • Willamette Ventures
09 How do I work with you? +
Email ronjon.nag@agemica.com with a one-paragraph description of fit. We respond to every serious inquiry.
10 How do I follow your progress? +
Subscribe to our research updates. We publish milestones - including the ones we miss.
11 What is your relationship to longevity startups? +
AGEMICA is a peptide platform. Many longevity claims rest on supplements or single small molecules; ours rests on AI-ranked combinations validated in human cell models.
12 Do you publish? +
Yes. Methodology summaries are available on request, and we are pursuing peer-reviewed publication on platform components.
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Contact
ronjon.nag@agemica.com
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