About
Biological intelligence for beauty
Skinceptor is an educational biological-intelligence platform for beauty ingredients. It maps a curated, cited dataset of 54 ingredients to their underlying chemistry, biological targets, genes, pathways and cellular processes — visualized as interactive network graphs — and backs every relationship with transparent, sourced evidence rather than a single opaque score.
The current corpus holds 54 ingredients, 6 biology maps and 96 studies. It is a demonstration of the approach, not an exhaustive index of cosmetic science.
Ingredient explorer
Chemical identity — formula, molecular weight, PubChem and UniProt references — alongside an interactive Ingredient → Molecule → Target → Gene → Pathway → Process → Outcome network, a confidence-tiered evidence dashboard and a filterable study timeline.
Browse ingredients →Biology maps
Topic explorers for skin barrier function, photoaging and collagen degradation, melanogenesis, hair follicle cycling, epidermal turnover and oxidative stress — each traced to its genes, pathways and studied ingredients.
Open biology maps →Research library
Filterable literature by ingredient, pathway and study design — human, in-vitro, animal, RCT and review — with DOI and PMID links to the original records.
Search the literature →Compare
Side-by-side biological comparison of two ingredients, surfacing shared versus distinct pathways, targets and supporting evidence.
Compare ingredients →Claim checker
Evaluate a beauty claim for biological plausibility. Supporting and mixed evidence is mapped to pathways, and signed-in users can run an AI mechanism analysis saved to their library.
Check a claim →Ingredient checker
Paste a product's full ingredient list (INCI) and Skinceptor matches each entry against its curated dataset — surfacing the biology, pathways and evidence strength behind every recognised ingredient, alongside an honest list of what it doesn't yet cover. It does not judge safety or product quality.
Check a list →Biology as art
Deterministic generative artwork — Constellation, Galaxy, Cellular Tapestry and Fingerprint — derived from real scientific networks and exportable as PNG.
Generate art →Biology as art — why it matters
Every image is a real network, not decoration
Most "data art" layers randomness over a dataset to look scientific. Skinceptor does the opposite: each artwork — Constellation, Pathway Galaxy, Cellular Tapestry and Ingredient Fingerprint — is generated deterministically from the ingredient's actual biological relationship graph. The same ingredient and style always produce the identical image, because every coordinate is a pure function of real node identifiers, biological category, edge structure and relationship confidence. No decorative nodes are invented; nothing is randomised.
This matters for three reasons. First, it makes complex biology legible at a glance — a reader can feel the density, structure and confidence of an ingredient's evidence network before reading a single citation. Second, it gives every ingredient a visual fingerprint: a Fingerprint of Niacinamide is structurally distinct from a Fingerprint of Retinol because the underlying science is different, not because the styling changed. Third, it bridges the gap between data and intuition — the same rigor that drives the Evidence Dashboard produces something you can hang on a wall or export as a PNG, turning peer-reviewed relationships into something shareable and human.
In short, Biology as Art is not a novelty layer. It is the same scientific model the rest of Skinceptor uses, expressed in a register that prioritizes pattern recognition over precision — a complementary way into the same sourced, cited data.
Your account
What signing in unlocks
With a free account, Skinceptor becomes personal. Everything below is tied to your account and protected by row-level security — you only ever see your own data.
- A personal ingredient and biology-map library with private notes
- Saved searches and saved claims, kept per account
- Reader-submitted evidence for editorial review
- AI-powered claim mechanism analysis, stored to your library
- Agent integrations (MCP) so assistants like Claude or ChatGPT can search the dataset and read or add to your own saved library
Medical boundary
What Skinceptor is — and is not
Skinceptor is research navigation and educational biological intelligence. It does not diagnose, treat, prescribe, or rate the safety or efficacy of any product, and it is not a substitute for a dermatologist or physician. Where evidence is absent, the interface shows a gap rather than inventing one — and a low evidence index frequently means “little studied”, not “ineffective”.