From Product to Protocol.
From Guesswork to Science.
From Guesswork to Science.
ProAGEant is an intelligent protocol assistant that connects genetics to active ingredients — and your product line to real, personalized results.
What is ProAGEant?
ProAGEant is a smart co-pilot for cosmetologists, powered by a patented algorithm that maps genetic data and clinical signs to skincare protocols.
It personalizes product recommendations based on root causes, not just symptoms.
The platform integrates seamlessly into professional practice, helping brands, distributors, and clinics grow — through evidence, not pressure.
It personalizes product recommendations based on root causes, not just symptoms.
The platform integrates seamlessly into professional practice, helping brands, distributors, and clinics grow — through evidence, not pressure.
How It Works
Input
Client data: genetic markers (SNP) and intake form
Mapping
System identifies dysfunctions and matches with key ingredients
Protocol Generation
Must-have + extended product protocol, using your portfolio
Ongoing Strategy
Retention, upsell, trust — through precision and progression
Built on Science.
Powered by Logic.
Powered by Logic.
ProAGEant is based on a proprietary methodology patented in clinical settings.
The system translates genetic signals (e.g. FLG, MMP1, AQP3) into protocol logic:
→ Which biological dysfunction is present
→ Which ingredients resolve it
→ Which of your products contain those ingredients
This makes every product part of a repeatable, personalized solution — not just a “good formula”.
→ Which biological dysfunction is present
→ Which ingredients resolve it
→ Which of your products contain those ingredients
This makes every product part of a repeatable, personalized solution — not just a “good formula”.
Epigenetics: Why It Works
It’s Not About Skin Type — It’s About Genetic Expression.
ProAGEant is built on the principles of epigenetics — the science of how your genes express themselves under the influence of environment, stress, aging, and skincare.
We go beyond surface-level symptoms. The system identifies actual genetic tendencies (e.g. weak collagen synthesis, impaired hydration, oxidative stress),
and recommends actives that modulate gene expression, restore function, and deliver visible change.
We go beyond surface-level symptoms. The system identifies actual genetic tendencies (e.g. weak collagen synthesis, impaired hydration, oxidative stress),
and recommends actives that modulate gene expression, restore function, and deliver visible change.
This isn’t just personalization.
It’s epigenetically-informed skincare, where recommendations match the root cause — not just what’s visible today.
Result: Products aren’t just “applied” — they are prescribed with purpose.
It’s epigenetically-informed skincare, where recommendations match the root cause — not just what’s visible today.
Result: Products aren’t just “applied” — they are prescribed with purpose.
What it means
For Manufacturers
- Your product becomes part of a clinical protocol
- Your brand moves from marketing to science
- You unlock real loyalty, retention, and data-driven growth
For Distributors
- Sell full portfolios, not just hero SKUs
- Give clinics a tool, not a catalog
- Get loyalty from professionals — and growth without discounting
For Cosmetologists
- Confident, science-based recommendations
- Better results, higher trust
- No pressure. Just proof.
What Happens When You Use ProAGEant?
- +42%increase in average ticket per client
- +64%revenue per treatment cycle
- 81%client return rate
after 3+ visits
- 3×increase in portfolio usage per clinic
- 9.3/10Feedback score (NPS)
About the Methodology
ProAGEant applies a patented evidence-based methodology that links stable genetic variations (SNPs) to targeted skincare interventions.
Instead of relying on skin type questionnaires or subjective observation, the system uses molecular data to design protocols that address root biological dysfunctions.
Instead of relying on skin type questionnaires or subjective observation, the system uses molecular data to design protocols that address root biological dysfunctions.
About the Methodology
ProAGEant applies a patented evidence-based methodology that links stable genetic variations (SNPs) to targeted skincare interventions.
Instead of relying on skin type questionnaires or subjective observation, the system uses molecular data to design protocols that address root biological dysfunctions.
Instead of relying on skin type questionnaires or subjective observation, the system uses molecular data to design protocols that address root biological dysfunctions.
Expanded:
ProAGEant builds on advances in epigenetics and dermatogenomics, applying a curated panel of single nucleotide polymorphisms (SNPs) directly linked to skin physiology.
The selected SNP markers reflect functions most critical to skin health and aging, including:
- Barrier function & hydration — e.g. FLG gene variants affecting filaggrin production, associated with impaired skin barrier and dryness.
- Collagen remodeling — polymorphisms in MMP1 and related pathways linked to photoaging and dermal matrix breakdown.
- Oxidative stress regulation — SNPs in antioxidant enzymes (e.g. SOD2, CAT, GPX1) influencing susceptibility to oxidative damage .
- Pigmentation & photoaging response — polymorphisms in MC1R and TYR pathways associated with altered melanogenesis and UV sensitivity.
Through a graph-based mapping algorithm, these genetic insights are systematically connected to:
1. Pathophysiological tendencies — predispositions toward dryness, laxity, pigmentation, or oxidative imbalance.
2. Corrective actives — bioactive ingredients with demonstrated efficacy in modulating or compensating for those dysfunctions.
3. Product-level formulations — identifying which products contain the precise actives needed, creating structured minimum protocols, expandable with advanced formulations.
This approach ensures that recommendations are not based on surface appearance (“dry skin → moisturizing cream”), but on biological causality (“hydration deficit caused by FLG variation → requires NMF-restoring actives, hyaluronic acid, ceramides”).
Because SNPs represent stable genomic features, a single genetic test provides a lifelong framework for personalization. The methodology enables dynamic protocol evolution as lifestyle, environment, or aging introduce new epigenetic pressures, while the genetic predispositions remain constant.
Clinical validation in professional practice has demonstrated that embedding this methodology into cosmetic protocols results in:
- +30–45% increase in sales per cosmetologist,
- measurable improvements in client satisfaction and loyalty,
- and enhanced portfolio utilization across entire product lines.
This scientific rigor transforms a cosmetic line into an evidence-based ecosystem, bridging genomics, dermatology, and personalized beauty care.
ProAGEant builds on advances in epigenetics and dermatogenomics, applying a curated panel of single nucleotide polymorphisms (SNPs) directly linked to skin physiology.
The selected SNP markers reflect functions most critical to skin health and aging, including:
- Barrier function & hydration — e.g. FLG gene variants affecting filaggrin production, associated with impaired skin barrier and dryness.
- Collagen remodeling — polymorphisms in MMP1 and related pathways linked to photoaging and dermal matrix breakdown.
- Oxidative stress regulation — SNPs in antioxidant enzymes (e.g. SOD2, CAT, GPX1) influencing susceptibility to oxidative damage .
- Pigmentation & photoaging response — polymorphisms in MC1R and TYR pathways associated with altered melanogenesis and UV sensitivity.
Through a graph-based mapping algorithm, these genetic insights are systematically connected to:
1. Pathophysiological tendencies — predispositions toward dryness, laxity, pigmentation, or oxidative imbalance.
2. Corrective actives — bioactive ingredients with demonstrated efficacy in modulating or compensating for those dysfunctions.
3. Product-level formulations — identifying which products contain the precise actives needed, creating structured minimum protocols, expandable with advanced formulations.
This approach ensures that recommendations are not based on surface appearance (“dry skin → moisturizing cream”), but on biological causality (“hydration deficit caused by FLG variation → requires NMF-restoring actives, hyaluronic acid, ceramides”).
Because SNPs represent stable genomic features, a single genetic test provides a lifelong framework for personalization. The methodology enables dynamic protocol evolution as lifestyle, environment, or aging introduce new epigenetic pressures, while the genetic predispositions remain constant.
Clinical validation in professional practice has demonstrated that embedding this methodology into cosmetic protocols results in:
- +30–45% increase in sales per cosmetologist,
- measurable improvements in client satisfaction and loyalty,
- and enhanced portfolio utilization across entire product lines.
This scientific rigor transforms a cosmetic line into an evidence-based ecosystem, bridging genomics, dermatology, and personalized beauty care.
Modular, Scalable, Brand-Ready
- -1-Works on subscription (SaaS)We are a leading firm in providing quality and value to our customers. We like what we do. We like to make people happy.
- -2-Trainable on any product lineEach member of our team has at least 5 years of legal experience. They use their knowledge to make our clients’ life better.
- -3-Optional white-label per regionOur managers are always ready to answer your questions. You can call us during the weekends and at night.
FAQ
→ Currently used as a decision-support tool. No certification needed.
→ It works with genetic data, but also functions on photo and intake data alone.
→ Yes, via API or white-label setup.
→ All data is stored per GDPR/CCPA. Clinics own their client records.
→ Yes. We offer a 30 days back money guarantee, zero-risk start with onboarding and support.
Let’s Build the Future of Intelligent Skincare — Together
