Ageless Beauty · Medical Aesthetics & Beauty Industry Cooperation Proposal

已验证

B2B2C Cooperation

Aesthetic Phenotype PRS · Genetic Beauty ProfileAnti-Aging Peptide & Protein EngineeringSkin Microbiome × Host Gene Joint Mining

China's medical aesthetics market is ~¥370B in 2025, projected to exceed ¥600B by 2030, CAGR 15-20%. Consumers want quantifiable results, customizable plans, and predictable risk--exactly what genomic dry-computing excels at. We do not touch clinical practice, wet-lab, skincare recommendations, or sequencing. We are the computing brain that translates A/T/C/G into quantifiable beauty solutions. B2B2C model: we are your institution's computing backbone, never facing the C-end directly.

Computing Infrastructure, Not a Competitor

We do not touch medical aesthetics, clinical practice, wet-lab, skincare recommendations, or sequencing. We do bioinformatics dry-computing: the computing brain that translates A/T/C/G into quantifiable beauty solutions.

Building an in-house dry-computing team needs 3-5 people, ~¥1.5-3M/year; when annual demand <1,000 cases, partnering with us costs significantly less. Bio-AI tools have SOTA updates every quarter--in-house R&D rolling investment is large. We have already sedimented full-stack tracking and validation capability.

Three Reader Types

Institution Decision-Maker

Evaluate market window and differentiation--gene-level precision aesthetics is the next decade's growth engine; access cutting-edge tech at low cost

Technical Lead

Evaluate computing capability and pipeline status--four dry-computing pipelines (A/B/C verified, D exploratory), tool stack and population calibration

Marketing Lead

Evaluate product matrix and retail pricing--white-label reports under your brand, B2B2C packages from basic to flagship

Ready-to-Deploy Business Integration

Sign today, deliver next week--validated, proven, deliverable engineering capability

PipelineWhat to Tell Your CustomerStatusDelivery FormEst. Consumer Price
管线 A
Aesthetic Phenotype PRS
Your genetic beauty profile--collagen loss rate, photoaging sensitivity, hair loss risk, pigmentation, quantified as percentile ranking 已验证White-label report¥3,000-6,500
管线 B
Anti-Aging Peptide & Protein Engineering
Molecular-level R&D backbone for your active ingredients--MMPs inhibitors, Sirtuin activators, collagen engineering 已验证Project-based¥15,000-50,000
管线 C
Skin Microbiome × Host Gene
Your skin state is a symbiotic result of genes and microbiome--16S + HLA/FLG cross-mining 已验证Report + continuous tracking¥3,000-6,500
管线 D
Hair Follicle Induction
From repair to regeneration--five-factor combination induces new follicles on hairless skin🔬 探索性ARM licensing modelNo market benchmark (blue ocean)

Two Cooperation Modes

Standard menu · No API mode

White-label Report

Report under your brand, content by us

3-5 business days, bilingual CN/EN

Project-based

Custom R&D for proprietary active ingredients / collagen engineering

2-8 weeks, with candidate report

B2B2C Packages

Consumer price space (high end) · Our partner price negotiated separately

PackageIncludesEst. Consumer PriceRetail Suggestion (high end)
Ageless Beauty BasicWGS interpretation + aesthetic PRS (5 traits)¥3,000-5,000/person¥5,000/person
Ageless Beauty AdvancedBasic + skin microbiome joint analysis¥6,000-10,000/person¥10,000/person
Ageless Beauty FlagshipAdvanced + personalized peptide candidates (lite)¥25,000-40,000/person¥40,000/person

Partner Profile

  • ·High-end private medical aesthetics
  • ·Anti-aging centers / longevity clinics
  • ·Hair transplant institutions
  • ·Efficacy skincare brand R&D

Deployment Rhythm

Step 1Start with 50 white-label reports (minimum threshold, validate experience and conversion)
Step 2Scale up white-label reports after validation
Step 3Naturally expand to project-based when institution considers proprietary ingredients
ThroughoutHair follicle induction as the "next-gen exploration" mindshare card

Five-Layer Tech Stack

Validated and deliverable

LayerNameContentStatus
L1Source Code3B base-pair WGS, DiVoGenome three-model cross-interpretation (based on 636 Chinese pan-genome) 已验证
L2Molecular Self-PortraitDiVoFold5 builds 3D structure for each variant protein, pLDDT 95.4 / ipTM 0.977 已验证
L3Virtual CellDiVoCell + DiVoSignal--drag in a drug, change a gene parameter, see how pathways rewire🔬 探索性
L4Time DimensionGrimAge + DunedinPACE epigenetic clocks, read aging curves like stock K-lines 已验证
L5Cross-Generation ViewFamily gene map, recessive pathogenic variants highlighted 已验证

Tech Foundation Matrix · Red-Blue Print

✓ Self-developed verified = competitive moat · ◈ Self-developed exploratory · Outsourced = world-class equipment

Tech DomainRepresentative CapabilityStatus
Sequencing & OmicsWGS / WES / single-cell / spatial transcriptomics / metagenomics / epigeneticsOutsourced (P2, world-class equipment)
Computing & AI (self-developed core)DiVoFold5 structure prediction (pLDDT 95.4) · DiVoGenome three-model cross · RNALens mRNA design (Spearman 0.92) · neoantigen 8-step pipeline · CAR-T Binder design✓ Self-developed verified (P0)
Computing & AI (exploratory)DiVoCell multi-cell simulation · DiVoSignal signaling pathways◈ Self-developed exploratory (P0)
Hardware & ComputeRVDon RISC-V GPGPU (Protenix acceleration base)✓ Self-developed verified (P0)
Engineering & DeliveryPipeline orchestration (Nextflow/Snakemake) · Docker containerized delivery · bilingual CN/EN reports · Agent dialogue engine✓ Self-developed verified / ◈ In development

Ready-to-Use Dry-Computing Services

8 verified + 1 exploratory + 1 conceptual · proof of strength

#ServiceTagStatusKey Metric
1Tumor Neoantigen mRNA Vaccine 8-Step PipelineFlagship 已验证45 candidates · 17 Tier-1 · IC50 min 10.1 nM · pLDDT 95.4
2pMHC 3D Structure Prediction + Docking ValidationCore differentiator 已验证pLDDT 95.4 · ipTM 0.977 · 5 docking sets
3Genome Interpretation Report (bilingual CN/EN)General service 已验证12+ batches · MD/HTML/PDF
4HLA Typing (dual-tool cross-validation)Entry service 已验证65+25 allele · OptiType+Polysolver
5mRNA Sequence Optimization (RNALens)Self-developed fine-tune 已验证Spearman 0.92 · CAI 0.7->0.95
6CAR-T Cell Therapy ComputingNew service 已验证RFdiffusion+MPNN · pLDDT 95.4
7Aesthetic Phenotype PRS · Genetic Beauty ProfileAgeless Beauty 已验证5-target PRS · PRSice-2+PRS-CS · GVM+NyuWa calibration
8Anti-Aging Peptide & Protein EngineeringAgeless Beauty 已验证pLDDT 95.4 · Pro-Prime ΔΔG · BoltzGen 5 weights
9Skin Microbiome × Host Gene Joint MiningAgeless Beauty 已验证DADA2+MGnify · ANNOVAR+HLA · SILVA 138.2
10Hair Follicle Induction · Five-Factor CombinationAgeless Beauty🔬 探索性Protenix pLDDT 95.4 · mRNA delivery design ready

Items 7-10 (Ageless Beauty four) directly serve medical aesthetics / beauty partners; items 1, 2, 6 are B2B services for pharma / onco-immunology R&D, listed here only to prove the same computing base is cross-domain reusable.

Capability Boundaries

What we can and cannot do, stated clearly

✓ What We Can Do

PRS scoring (polygenic risk score)
Protein 3D structure prediction + stability + sequence design
16S/ITS microbiome analysis
Chinese population calibration (GVM + NyuWa + WBBC)
B2B2C model--be the institution's computing backbone, not facing C-end directly
Hair follicle induction five-factor structure prediction + engineering design (ARM licensing)

✗ What We Do Not Do

No clinical diagnosis (PRS is risk assessment, not diagnosis)
No skincare recommendations (we output causal maps, not product ads)
No sequencing (we do computing; samples provided by partners)
No "gene editing for beauty"
No wet-lab (follicle induction factor expression/purification/animal experiments delegated to partners)
Existing GWAS data is mostly European; targets with insufficient East Asian coverage are marked "needs validation"
Hair follicle induction efficacy on human skin has not been validated by any team--this is frontier exploration

All capabilities marked at three levels: ✓ verified / ◈ has code unverified / ◎ framework only.

What Powers Us

One full-stack technology system powers all services--from silicon to your scenario.

算法模型芯片硬件部署

Algorithm -> Model -> Chip -> Hardware Deployment · Full-Stack Technology System