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Michael Polansky’s AI‑trained living‑skin platform aims to fast‑track discovery of novel skincare actives, merging biotech with machine learning

Executive summary: Michael Polansky has spent years developing a startup that keeps living human skin tissue alive ex‑vivo for weeks and uses it to train an AI model to discover novel skincare actives. The platform could accelerate the identification of effective cosmetic ingredients, lower reliance on animal testing, and provide a proprietary AI‑biotech data asset that may be licensed or partnered with major beauty companies.

Who is involved: Michael Polansky (founder), his undisclosed startup team, and likely collaborators in tissue‑culture and AI; no external partners are named in the source.

Likely next: The startup may seek a seed or series A round by late 2026, publish initial validation studies in mid‑2027, and enter pilot agreements with cosmetics firms within the next 6‑12 months.

Michael Polansky has built a startup that maintains living human skin tissue outside the body for weeks and uses it as a training set for an AI model to identify new skincare compounds. The approach could shorten cosmetic R&D cycles, reduce animal testing, and create a defensible data‑driven moat for the company. While still early stage, the venture sits at the intersection of high‑growth AI and premium beauty markets, attracting potential interest from both biotech investors and large cosmetics firms.

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