We are introducing Youngr Labs, a biotech, artificial intelligence and digital product company dedicated to longevity. Our mission is to redefine how humans experience aging.
We are creating the first AI Virtual Human Cells made for longevity. To achieve this, we are building one of the largest perturbational single-cell RNA-seq Atlas and foundation model of human rejuvenation.
Most biological AIs today are trained on public, static datasets collected from unperturbed conditions, ie without drugs. However, such AIs often fail to extrapolate to perturbed cells, a prerequisite to discover new drugs.
The next generation of AIs will require massive amounts of unique, high-quality experimental data with drug perturbations — data that doesn’t exist today.
At Youngr Labs, we generate this data at scale through our in vivo perturbational Atlas, providing the foundation for truly intelligent biological models.
INTRINSIC CAPACITY
Intrinsic capacity is the World Health Organization's composite measure of physical and mental function — mobility, vitality, cognition, sensory function — used to track healthy aging independent of any single diagnosis: a functional readout of how well the underlying biology is holding up. This is the premise behind the science of aging: target the shared biology of aging directly, and a single intervention could delay or blunt several diseases at once, rather than one at a time.
Over the past decade, epigenetic clocks have become the standard way to measure aging at the molecular level. Trained on DNA methylation, gene or protein expression — marks that shift predictably as cells age — they predict a cell or tissue's biological age. Because that drift doesn't track the calendar exactly, biological age can diverge from chronological age: two people born the same year can carry cells a decade or more apart, molecularly, and that gap has repeatedly proven a better predictor of disease risk and mortality than birth date alone.
But a biological age estimate is still just a molecular snapshot: how old a cell's methylation pattern looks, not how well the person carrying it functions day to day. Two people with the same biological age can differ substantially in mobility, cognition, and vitality — and it's that functional difference that determines whether someone is aging well. This is why intrinsic capacity matters more than biological age as a target: it's the function biological age is ultimately trying to proxy for, measured directly rather than inferred.
OUR SINGLE-CELL PERTURBATIONAL ATLAS
Biology isn’t static, it’s a dynamic system. Cells adapt, and evolve in response to perturbations. This is the reason why we are creating our single-cell skin perturbational Atlas, mapping how every human skin cell reacts to molecules, aging, contexts and diseases.
While most players focus on CRISPR-Cas9 genetic perturbations, we explore small molecules - many derived from natural products - whose transcriptomic effects at the single-cell level remain largely unexplored.
By learning directly from life itself, our model is capable of predicting how molecules reprogram gene expression, identifying novel biological targets, and discovering next-generation ingredients and therapeutics for longevity.
WE BEGIN WITH THE SKIN, THE MIRROR OF AGING
The skin is the largest and most accessible organ of the human body: a living mirror of aging, environment, and genetics. Yet, more than 50% of chronic skin diseases still lack effective treatments.
This organ is complex and highly variable across sex, age, ethnicity, and environmental exposure, making it a powerful model to train and validate our technology. By starting with the skin, we can rapidly test, learn, and prove our approach.
Once validated, we will scale to other organs, applying the same foundation model to unlock new insights in aging, regeneration, and disease across the human body.
OUR SCIENCE AND PRODUCT
As AI becomes ubiquitous across industries, our goal is to augment researchers’ intelligence and impact - and accelerate discovery.
Our technology is designed as a companion for scientists, ingredient innovators, and biotech companies, empowering them to design new anti-aging molecules, personalized active compounds, and therapies that restore cellular youth.
Our goal is to turn the science of longevity into a programmable, data-driven discipline, and give humanity the tools to age better.
At the core of our rigorous approach, we are building a strong and innovative science and technology by:
- Orthogonal validation: cross-verifying signals with independent assays (single-cell RNA-seq, epigenetic clock, functional readouts and literature).
- Prospective testing: our models make predictions first, then we validate them in new wet-lab experiments.
- In vivo relevance: we prioritize human data (ex vivo and in vivo) from diverse donors and tissues, instead of immortalized cell lines.
- External benchmarking: blind testing on private and public datasets, replicated with CROs and academic labs.
- Data integrity: versioned datasets, full audit trails, preregistered protocols, and open scientific reporting.
The potential applications of our invention go far beyond skin
health and longevity.
From discovering new treatments for atopic dermatitis to uncovering novel therapeutic pathways in skin cancer and inflammation,
our technology opens new frontiers in precision medicine - and ultimately, in human health.
MULTIDISCIPLINARITY AT THE CORE
We believe that innovation and breakthroughs happen when worlds collide.
Our founding team unites biologist, mathematician, machine learning engineer, designer, and builders - bridging biology and computer science, computer science and creation - all united by the single belief that aging is not inevitable; it’s programmable and reversible.
Together, we aim to push the boundaries of biology and make
cutting-edge science accessible, creative and alive beyond the lab
- across the worlds of consumer innovation, biotech, and healthcare.
Contact us at
hello@youngr.io
Youngr Labs © 2025