Trusted by the elite
DATA TO RESULTS
Made of Genes unifies multidimensional health data and advanced analytics in a single secure platform. We help to anticipate, provide actionable insights and deliver rapid ROI for elite teams and corporate workforces.
Made of Genes helps us truly understand and connect all our data. We’re building digital twins for each player — simulating, enhancing, and preventing in real time. This isn’t the future — it’s now.
See how our precision science translates into actionable results for you.
of injuries anticipated
Our multimodal model predicts almost one in four injuries before they happen, helping clubs take preventive action in time.
of player availability
Enabled by our multimodal prediction model, helping teams keep players fit and ready to perform.
per club per year
Estimated from a 20% reduction in injuries, based on the average cost per injury in elite European clubs.
differentiated by sex
All our Polygenic Risk Scores are developed and validated for male and female athletes, advancing equity and precision in sports medicine.
Connect your wearable or GPS system to the platform, upload existing biomedical data, or complete one of our signature panels. We can also integrate and consolidate multiple sources of clinical data, training plans, and injury history.
Explore patterns and trends, and uncover MoGIA™ insights that combine multi-omics and psychometrics to evaluate injury risk, pinpoint nutritional needs, and tailor exercise plans for every role on the team.
Coaches get session-by-session load targets, medical staff receive instant red-flag biomarker alerts, and athletes track personalised nutrition, sleep and training actions - all of them interacting with the platform through customizable apps.
Combining DNA insights and GPS data to personalize training load, recovery and injury prevention — helping athletes stay at their peak all season long.
Combining DNA, biomarkers and lifestyle insights to personalize recovery, nutrition and injury prevention — helping athletes reach their best form.
compliance
Built to satisfy club doctors, corporate DPOs and regulators alike.
End-to-end encryption, explicit consent flows, user data ownership.
Full audit trail and explainability reports for every recommendation.
27001 / 27017 / 27018 for security & privacy.
Officially recognized under ENS for implementing advanced security controls and continuous risk monitoring.
We fuse genomics, proteomics, metabolomics, wearables and quantifiable psychometrics in a single, explainable-AI engine. Where most platforms stop at one data source and raw metrics, our whole-person model identifies root causes and converts them into clear, science-backed action plans anyone can follow.
We deliver full turnkey programmes for sports clubs and corporations, serving their athletes and employees. We also offer end-user digital services for consumers who purchase our kits through our network of certified health, fitness, and laboratory partners.
If you are an end user, you can purchase services delivered by trusted distributors here.
If you are interested in offering Made of Genes services to your customers, learn more about our partnership agreements and white-label options here.
End customers can choose from a range of curated, over-the-counter services offered by certified distributors in the Made of Genes Store.
For professional organisations, platform pricing scales with the number of users and required modules, offering volume discounts for large enterprises and partner tiers for distributors. Plans are fully tailored, covering system integration, selected analyses, training, and ongoing support. We also provide bundled options that include testing kits and/or sample-management services.
Contact us for a personalised quote or to view example ROI scenarios.
We never sell or share personal data. You retain full ownership and control. Records are AES-256 encrypted in EU data centres and governed by GDPR and ISO 27001 / 27017 / 27018. You may export or delete them at any time. We may analyse fully anonymised, aggregated data for quality purposes and to enhance our algorithms (e.g., fine-tuning reference ranges).
You can learn more here.
