Why what is in this bottle is not elsewhere
Ingredient lists have barely changed in twenty years. Not because better molecules do not exist, but because they are hard to find and expensive to make. This page is about getting around both.
The industry cannot invent new ingredients, and cannot afford the ones it has
360 GB
All the ground-truth data the field holds on how an ingredient acts on skin. Less than one phone, so discovery stays trial and error.
$2,000 / kg
What a kilogram of collagen or peptide costs the industry to make today. So a brand doses a trace amount: it is on the label, not on the skin.
So nothing changes. Brands recycle the same twenty-year-old ingredients and compete on marketing instead of results.
One system does both jobs: AI picks the molecule, microalgae make it
Finding what to make
- 01
Human interactome data
The first interactome database built to train an AI cell model
- 02
Whole-genome-edited cell library
Wet-lab work confirming which protein is really involved in ageing
- 03
AI screening
Predicting which chemicals and peptides bind the target protein
- 04
MagTech lifespan screen
Our own method for finding, quickly, which molecules extend a single cell's lifespan
Making it
- 01
Algae interactome data
The same data foundation, for the algal cell
- 02
Algae cell model
Finding which master regulator controls a given synthesis
- 03
Algae factory
The cell makes the molecule itself; the inputs are sunlight and water
- 04
Delivery into skin
AI-designed lipid nanoparticles. Before these, there was no working route into skin for such a molecule
Letting the algal cell do the synthesis brings a kilogram of active peptide down to a twentieth of the industry price, so the constraint above, that a brand can only afford a trace amount, stops applying. Anyone can buy an AI model. Having the data, the synthetic biology, the factory and the delivery inside one company is a different matter.
Not a lab project
Bench and a 100-litre pilot are both done; commercial scale is next. What follows can be checked.
- 100-litre pilot
- Bench and pilot both complete
- 18 papers in 3 years
- Published and in submission
- 10+ patents filed
- Marine actives and peptide sequences
- ISO 22716 · GMP
- Cosmetic manufacturing quality
- SGS · Intertek
- Third-party testing
- Institute of Dermatology, CAMS
- 28-day clinical partner, N=120
- Safety assessment complete
- Substantiated and on file, as MoCRA requires
- Cell and skin testing complete
- Irritation and tolerance testing before sale
All of this ends up as one serum.
This page describes the laboratory's research methods and capacity. It is not a promise about what the product does. The product is a cosmetic, not a drug: it does not diagnose, treat, cure or prevent any condition, and results vary between individuals.
Does any of it work?
A method for finding and making a molecule is not evidence that the molecule does anything. These pages take that question separately, from published research rather than from our own product — including where the evidence is weaker than the marketing.
- Do peptides actually work for wrinkles?
- Peptides vs retinol — which should you use?
- What can you do about forehead lines without Botox?
- How do you get rid of smile lines?
- How do you get rid of under-eye wrinkles?
- How do you get rid of neck lines?
- How do you get rid of wrinkles around your mouth?
- How do you get rid of bags under your eyes?
- How do you get rid of crepey skin?
- How do you get rid of brow wrinkles?
