Every product line is a business of its own.
Fifteen product lines — most of them already working software. Each one earns money on its own, has a clear reason to receive investment, and can be sold, licensed or franchised separately.
CH3Q — Methylation Intelligence
Reads the chemical "on/off" marks on a person's DNA and turns that raw data into a report a doctor can act on: which genes are affected, what the risk means, and how old the body really is. Upload to finished report in under 5 minutes.
- —937,691 DNA marks in our database
- —249,265 marks read in one real test
- —Patients retest every year, so revenue repeats
- ·Businesses: longevity clinics and labs that can run the test but cannot explain the results
- ·People: patients who want to track their body age and see if their health plan is working
This test produces millions of raw numbers that no doctor can read. Without a layer that explains them, the patient gets a spreadsheet instead of medical advice.
Most rivals give you one number: your “biological age”. We show which marks affect which genes and which health issues, in a full written report, and we track the change over time.
To grow the database that links DNA marks to health conditions, prove the risk model with real patient groups, connect more labs, and hire a sales team for longevity clinics.
We are the only ones who turn this raw test into a full, readable medical story. Every number can be traced back to its source (no black box), and the yearly retest is built in from day one.
Generative AI hallucinates — it invents genes, papers and numbers that do not exist, and it says them with total confidence. In health there is no room for that. Our biological age and methylation results come from 937,691 measured DNA marks and validated reference curves, not from a model guessing. Every number is traceable to the assay that produced it, reproducible on retest, and defensible in front of a physician. A competitor with a chatbot can produce a beautiful report; it cannot produce a safe one.
A premium science product that longevity clinics and advanced labs are happy to pay well for.
Pathway 360
Takes a DNA file, blood test results and the patient's health history, and turns them into a colour-coded map of how that body processes nutrients and toxins, plus three ready-to-print reports carrying the clinic's own logo, in 11 languages. Minutes instead of 3–6 hours of manual work.
- —159 real patients · 148 DNA files · 97 report sets
- —Built-in safety check that blocks unsafe advice
- —Reports available in 11 languages
- ·Businesses: functional-medicine clinics, doctors and clinic groups
- ·People: patients who receive the report from their own clinic, in their own language
Reading DNA plus blood results by hand takes 3 to 6 hours per patient. That is exactly what stops clinics from offering personalised medicine to more people.
Fixed rules instead of guesswork, plus a safety lock: no invented advice, the same answer every time, 11 languages, and minutes instead of hours.
To sign up more clinics, grow the medical knowledge base behind the maps, add and check new languages, and build the partner channel.
Nobody else joins DNA, blood tests and health history into one map with a built-in safety lock. The same patient always gets the same result, it can be audited, it carries the clinic's brand, and it comes in 11 languages.
A language model gives a different answer to the same question twice, and sometimes invents a drug interaction that does not exist. No doctor can prescribe on that. Pathway 360 runs on fixed, auditable clinical rules with a safety lock: the same patient always gets the same recommendation, and every recommendation points to its source. Health cannot be built on something unstable — AI today does not give clinical safety, and that is exactly the gap our engine fills.
Fixed safety rules make it trustworthy for doctors and hard for others to copy.
RobGenes Clinical Intelligence 360
One platform that a clinic can run under its own name, with 12 tools inside: DNA analysis, deep gene reading, medication response, nutrition, body age, DNA marks, longevity, skin, custom cosmetics and an AI assistant.
- —197 patients · 132 DNA profiles · 186 reports
- —15,056 gene–disease links · 968 medication-related variants
- —12 active clinics · 4 languages, including Arabic
- ·Businesses: clinic groups with several sites, hospitals and partners who want it under their own brand
- ·People: patients using their clinic's branded portal
Clinics use a different tool for every test. One platform with 12 tools removes the cost and pain of gluing them together.
No competitor puts DNA, deep gene reading, medication response, DNA marks, longevity, skin and nutrition in one branded platform with an AI assistant and 4 languages.
To build infrastructure that serves many clinics at once, handle health regulations in each country, harden the 12 tools, and hire the sales team for big clinic groups.
Others sell one tool. We deliver the whole clinical system: 12 connected tools, under the clinic's own brand, for many clinics and many languages, all on one shared set of data.
AI-generated clinical software is confident and wrong — it fabricates references and drifts between versions. Doctors cannot carry that risk, and neither can we. Our 12 modules share one validated data model, run in real clinics under real regulation, and every output is traceable and repeatable. Competitors can generate screens with AI in a weekend; they cannot generate clinical validity, accountability or the trust of the physicians already using us.
The core technology that makes every other business line more valuable.
MyGene reStart 360
Turns a one-off genetic test into a daily companion: the same DNA profile is re-read every day against new lab results, check-ins, food, sleep and stress — a living prevention plan with a private AI coach.
- —27+ genes across 8 health areas
- —14 languages, including Arabic
- —Body-age and “Healthy 100” engine
- ·People: health-conscious consumers and longevity subscribers
- ·Businesses: clinics and luxury wellness brands that use it to keep clients coming back
A genetic test is read once and then forgotten. Prevention only works when the profile is re-read against today's blood work, food, sleep and stress.
Rivals sell a fixed PDF. We turn the same DNA into a daily companion with an AI coach, a body-age score, and a live link to the clinic platform.
To bring in new users, produce the health-plan content, sign clinic partnerships, and build the features that keep people subscribed.
We do not sell a test. We sell a guided change plan driven by the person's own DNA, and we retest to prove it worked.
Ask an AI to build a personal health protocol and it will hallucinate doses, interactions and evidence. That is dangerous, not innovative. Our plans come from the patient's own DNA, labs and retests, follow validated clinical rules, and are supervised by physicians. Health decisions require stability and proof over time — something no generative model can offer, and something we have measured across years of patient history.
The easiest product in the group for a normal consumer to understand — built to keep people subscribed.
Ancestrus
Makes money from DNA files millions of people already have at home: 45+ origin models (including our own), verified relative matching and AI-written ancestry stories. No kit, no lab, no shipping.
- —2,365 profiles · 2,221 analyses run
- —1,851 relative matches found
- —Free · Pro $9.99 · Premium $19.99
- ·People: the millions who already own a DNA file from 23andMe, AncestryDNA and similar services
- ·Businesses: labs and consumer brands that offer ancestry under their own name
People paid for a DNA kit and got a shallow ancestry summary. The data is already in their hands and nobody is using it.
No kit, no lab, no shipping, so almost no cost per sale. 45+ origin models plus a matching network that improves every time someone uploads a file.
To add more reference populations, improve the story reports, and fund the consumer marketing that turns ancestry into the entry door for our health products.
45+ origin models and a storytelling engine turn ancestry from a pie chart into an emotional story — and into the cheapest way to bring customers into every health product we own.
An AI will happily invent an ancestry percentage, and the user will never know it is fiction. Ancestry is statistics against real reference populations — ours are 45+ validated models, including panels we built ourselves. Our results are reproducible and auditable; an AI's are improvised. Once a client discovers the numbers were guessed, the brand is dead. That is why this cannot be copied with a model.
Almost no cost per customer, and the relative-matching network gets better with every new user.
Medication-response suite — run the analysis from any DNA file
Pharmacogenetics Engine
Tells the doctor how a patient's body will handle each medicine: it reads any DNA file, works out how fast that person breaks a drug down, and returns clear prescribing advice per drug — with the evidence behind it and a clinic-branded PDF in English, Portuguese, Arabic and Turkish.
- —966 drugs · 349 affected by genes · 133 relevant genes
- —4,149 drug–gene rules
- —80,509 patient DNA points processed
- ·Businesses: hospitals, psychiatry and cancer units, pharmacies and insurers
- ·People: patients taking several medicines who want safer prescriptions
Bad reactions to medicines are a leading cause of hospital admissions. Most of them can be predicted from DNA before the first prescription.
Clear, rule-based answers with the evidence attached: 4,149 prescribing rules across 966 drugs, fully checkable, in clinic-branded PDFs in four languages.
To keep the drug–gene rules current with official guidelines, connect to hospital prescribing systems, and run clinical validation studies.
Most reports of this kind stop at a list of genes. We give dose-level advice for each medicine, inside the doctor's normal workflow, cross-checked against the patient's whole DNA profile.
This is the clearest case of all: a hallucinated dose can kill a patient. No clinic, hospital or regulator will accept a chatbot's opinion on medication, and no AI company can take clinical or legal responsibility for it. Our answers come from 4,149 official prescribing rules across 966 drugs, each traceable to its published source and reviewed against guidelines — deterministic, auditable and safe. Medicine requires certainty; generative AI cannot provide it.
Serious clinical value — the kind hospitals and insurers pay for.
Panels — 20+ branded health reports from a single DNA upload
Genetic Panels Ecosystem
More than twenty branded health reports produced from a single DNA upload — heart, brain, mental health, longevity, skin, nutrition, detox and more. The clinic pays once to read the DNA; every extra report after that is almost pure profit.
- —11,831 conditions · 2,542 genes
- —4,292 interpretation rules · 253 health markers
- —Can generate reports for an entire patient base at once
- ·Businesses: clinics, labs and partners selling several health reports
- ·People: patients who want extra reports from a test they already took
Clinics pay to read a patient's DNA once and then sell only one report. A new health question should not require a new sample.
One upload, 20+ sellable reports at very high margin, and the option to run them for a whole existing patient base — competitors need a new test for each report.
To add more report types, get lab accreditation, automate the analysis pipeline, and expand the clinic and lab distribution network.
One shared report library on one screen: a lab plugs in and can immediately offer dozens of tested reports instead of building each one from scratch.
Generative AI writes fluent genetic reports full of invented variants and citations. In diagnostics, that is malpractice, not a shortcut. Our 4,292 curated interpretation rules across 11,831 conditions were built and reviewed by specialists, are versioned, and every conclusion is traceable to evidence. A competitor can generate text instantly; they cannot generate clinical validity, and no serious lab will sign a report they cannot defend.
The commercial engine: read the DNA once, sell many reports.
Target exome — sorting a patient's gene results by clinical importance
Target Exome Analysis
Compares the genes a patient already had tested against a curated list of 600,000 medically important DNA points, and narrows tens of thousands of matches down to the few that actually change treatment. No new lab test needed.
- —807,120 clinical matches analysed · 41,530 per patient
- —11,622 high-risk findings
- —633,698 DNA points read per file
- ·Businesses: genetic specialists, hospitals and labs
- ·People: patients who want a deeper medical reading of a DNA file they already own
Full gene sequencing is slow and expensive, yet most findings that matter are already inside the DNA files clinics hold today.
Filtering against a curated 600,000-point medical list cuts 41,530 matches down to the few that change treatment — with no new test and no extra lab cost.
To pay for computing power, licence the variant databases, fund specialist review time, and sign hospital partnerships.
We combine deep gene reading with a tight clinical focus and our own interpretation layer: the diagnostic power of an expensive test at the cost and speed of a simple one.
An exome produces tens of thousands of findings. An AI asked to filter them will confidently flag variants that do not matter — or miss the one that does — and justify both with invented literature. Our filtering runs against a curated 600,000-point medical reference with rules refined over years, so results are reproducible and reviewable. Hospitals need answers they can stand behind in a patient chart, and hallucination has no place there.
Turns DNA files clinics already hold into a new high-price service.
Epigenetics Testing
The lab test itself, run in our own facility: body age, effects of lifestyle and pollution, and which of them can be reversed — so we keep the lab profit as well as the software profit.
- —Our own lab process
- —Body age and lifestyle-effect markers
- —Feeds the yearly CH3Q retest cycle
- ·Businesses: clinics and clinic networks ordering these tests
- ·People: longevity patients retesting their body age every year
If we only explain results, someone else keeps the biggest part of the money — and controls quality and delivery time.
We run the lab under our own interpretation software: full control of cost, quality and how often patients retest. Software-only rivals cannot do this.
To add lab capacity, validate the tests, handle kit logistics, and sell directly to clinics.
We own both the lab test and the software that explains it. That means better margin, faster turnaround, and a growing pool of data no lab-only or software-only company can match.
No AI can run a laboratory. Samples, reagents, validated assays, accreditation and quality control are physical and regulated — and they are the part that makes a result trustworthy. Software rivals can only describe a test; we perform it, control it, and can prove how each number was produced. In health, a result without a validated lab behind it is worthless, no matter how good the interface looks.
We own the whole chain, from sample to report.
Genetic Supplements Production
We manufacture supplements matched to each person's DNA — covering the genes that control detox, energy, vitamin use and more — so the profit stays with us from prescription to bottle.
- —Our own factory
- —Formulas matched to each DNA profile
- —Designed as a monthly subscription
- ·People: patients prescribed a formula matched to their DNA
- ·Businesses: clinics, doctors and country partners reselling the line
A genetic report ends with a recommendation the patient has to buy somewhere else — so the money goes to generic supplement brands.
We make the DNA-matched formulas ourselves, closing the circle from prescription to bottle, with a subscription that keeps customers.
To expand the factory, develop formulas, register the products in each country, and hold stock for monthly shipments.
The formulas come from the patient's own DNA and lab data through our clinical software — real personalisation, not a marketing questionnaire.
You cannot manufacture a product with a prompt. Formulas tied to genetics require clinical rationale, regulatory registration per country, factory quality control and real safety data. An AI-generated formulation is an unverified guess with health consequences. We own the manufacturing, the approvals and the clinical link — a competitor would need years and regulators' approval, not a better model.
Turns a genetic report into repeat monthly revenue with strong customer loyalty.
Personalized Cosmetics
Skincare made for each client's genetic profile — high-margin, repeat beauty revenue sold to people who already did a test with us.
- —Formulas based on the client's DNA
- —Repeat monthly purchases
- —Clinic and luxury channels
- ·People: beauty and longevity consumers
- ·Businesses: aesthetic clinics, skin doctors and luxury retail
Skincare is sold by guessing a “skin type”. DNA explains ageing, sensitivity and pigmentation far better than a questionnaire.
Made from a genetic profile the client already paid for, so we spend almost nothing to win the sale — and it is the highest margin product we have.
To set up formulation labs, packaging and delivery, run skin-doctor validation, and launch the consumer brand.
Each formula is driven by skin genetics and body age, and is prescribed inside clinics we already serve — a science-based beauty line with a ready medical sales channel.
Skin products touch the body, so safety and dermatological validation are mandatory — not something a model can improvise. AI can suggest an ingredient list that looks plausible and is irritating or non-compliant. Our formulas come from real tested patients, are validated by dermatology and produced under our own quality control, then sold through clinics that stake their reputation on them.
The highest-margin consumer product built on the same genetic profile.
Robotics Intelligence
Robots that handle lab samples and AI that controls the process — so the lab can process far more tests without hiring more people.
- —Automatic sample handling
- —AI process control
- —More tests without more staff
- ·Businesses: our own labs first, then partner labs and lab groups
- ·People: indirectly — cheaper tests and faster results for every patient
Today a lab can only grow by hiring more people, and that limits how many tests it can sell and how much it earns.
We design the automation around our real processes and then license it: rivals buy generic robots, we sell the know-how proven on real clinical volume.
To buy the hardware, build the automation, connect it to lab systems, and train staff.
The automation is designed around our own lab work — we build robots for the exact processes we run, which a general robotics supplier cannot optimise for.
AI cannot move a pipette, calibrate an instrument or take responsibility for a contaminated sample. Lab automation is physical engineering plus process knowledge learned from running real clinical samples every day under strict quality rules. A software competitor with the best model still has no hands, no accreditation and no track record of reproducible sample handling.
Raises profit across every lab-based business we run.
CZ School — Interactive Digital Board
A live teaching platform for science classes: an endless shared whiteboard, 69 ready-made simulations, a 3D chemistry lab with 28 real reactions, and full class management.
- —69 ready simulations
- —28 real chemistry reactions
- —Sold to schools and school districts
- ·Businesses: schools, school districts and education ministries
- ·People: teachers and families subscribing on their own
Science teaching is limited by the cost of labs. Most classrooms simply cannot run real chemistry or physics experiments.
69 ready simulations and a 3D chemistry lab with 28 real reactions inside an endless shared whiteboard — a full teaching environment, not just a slide tool.
To create more content, run school pilots, improve platform speed, and build the education sales team.
A complete lab and blackboard inside the browser — real experiments with no equipment and no installation — built by a group that actually does the science it teaches.
AI-generated lessons invent formulas, wrong reaction products and impossible physics, and students cannot tell. Teaching science that way damages learning. Our 69 simulations and 28 real chemistry reactions are engineered from validated physics and chemistry and reviewed by teachers in real classrooms — deterministic, correct every time. Schools buy reliability, not improvisation.
An education business that earns money independently of the health cycle.
Campusverse — 3D Virtual Campus
RobGenes Campus: a 3D virtual world where doctors and students train inside the science — AI tutors, certification courses and group programmes built around the exact medical method our products deliver. Education earns money on its own and brings new customers to every other business line.
- —AI tutors that can certify doctors anywhere in the world
- —Certification courses matched to our Pathway 360 method
- —Every certified doctor becomes a repeat sales channel
- —Group courses, bootcamps and company training in several languages
- ·Businesses: clinic groups, medical associations and companies buying training
- ·People: doctors and students taking the certification courses
Personalised medicine fails at the last step: doctors are not trained to prescribe it. Adoption needs certified practitioners, not advertising.
The only school teaching this exact method — and every certified doctor becomes a repeat sales channel that competitors must build from zero.
To build the 3D world, develop the AI tutors, get the certification recognised, produce course content in several languages, and launch the school worldwide.
The only 3D campus where doctors are certified in the exact method our products use. Every graduate becomes a repeat sales channel — something a competitor would have to build from nothing.
Certifying physicians is about verified competence and institutional responsibility. An AI can generate a course, and it will also generate clinical errors inside it — which is unacceptable when the students are doctors treating patients. Our content is authored and reviewed by specialists, tied to validated protocols, and backed by an accredited certification path. Credibility cannot be prompted into existence.
The only school that trains doctors to prescribe this exact method — a sales force competitors would have to build from zero.
RobGenes Country Master Licensing
How we expand worldwide: local partners, distributors and clinic groups become official RobGenes operators in their country, with access to the full set of products.
- —The complete product set per country
- —Minimum sales commitments
- —Very little of our own money required
- ·Businesses: country representatives, distributors and clinic groups
- ·People: indirectly — local patients served by official partners
Opening every country ourselves is slow and expensive, and local rules and relationships decide who wins each market.
Partners get the entire working product set on day one and commit to minimum sales — so growth is funded by them, not by selling more of our own shares.
To find and check partners, adapt the products to each language and local health rules, and build the support structure per country.
Partners receive a complete, already working business — software, labs, medical methods and school — not just a brand name. They launch in months instead of years, and minimum sales commitments protect the holding company.
A partner is not licensing text a model could write — they are licensing a working, regulated medical operation: validated software in production, labs, clinical methods, training and brand. AI cannot generate regulatory approvals, reproducible clinical results or paying patients. In health, what transfers value is proven, auditable operation, and that takes years to build.
International growth paid for by partners, not by us.