Epigenetic reprogramming with transient OSK. The goal is to reset age markers in tissue without destabilising cell identity.
ModellingThe
Longevity
Dividend
Biological age isn’t fate. It’s a reading — laid down layer by layer inside the cell, the way years are laid down in an ice core. Readings can be changed. We work to extend the healthy years, before demography catches up with the health system.
Four research tracks · one instrumented pipeline
Winter isn’t a forecast.
It’s already booked.
The people who will fill the care system in 2045 have already been born. The number isn’t up for negotiation. The only thing still open is how many of their years are healthy ones.
Health systems are built to repair damage after it happens. That model doesn’t scale once the curve turns. The alternative isn’t more hospitals — it’s moving the intervention back to the cell, before the pathology is established.
This is what we call The Longevity Dividend: every healthy year recovered is both a person kept out of the system and a working life society gets to keep. Health becomes infrastructure, not expenditure.
Implication
Figures are indicative and must be verified against Statistics Denmark and WHO HALE before publication.
We read age
like an ice core.
An ice core tells you which year every layer was laid down. The epigenome does the same: methylation patterns accumulate over time and can be read as an age — often a different age than the one in the passport.
The difference is that ice can’t be relaid. The pattern can. Transient reprogramming aims to reset the accumulation without touching cell identity — maintenance, not transformation.
Stratigraphy · EPV-0412
Biological age
Illustrative model — not clinical data
Method
Read before you intervene. Every hypothesis has to be measurable on an epigenetic clock before it becomes a protocol. No protocol without a baseline.
Principle
Transient means time-limited. The cell should remember what it is — and only forget how long it has been that.
Four tracks. One instrument.
The tracks share one pipeline, one literature index and one pool of compute. That is what makes a small lab faster than a large one: no cost to move a finding from one track to another.
Personalised mRNA and peptide design aimed at the individual’s inflammation profile rather than an average patient.
DesignMetabolic oncology. The Warburg effect attacked with triple agonists — starve the tumour instead of poisoning the host.
Literature synthesisOncolytic virotherapy. A virus as a targeting agent that also makes the tumour visible to the immune system.
Literature synthesisThe brain stays
in the building.
We build the lab in the order that makes sense for a small team: the reading first, the hands second. The brain is already running — a cluster that cross-reads global medical research around the clock and keeps every finding on our own disks.
Zero Egress
No patient data leaves the building. No public clouds in the research loop. Data sovereignty isn’t a feature — it’s the precondition for being allowed to work with the data at all.
Four rungs to
an automated lab.
The ladder is built so every rung stands on its own. If only the first one is funded, the lab still gains a capability it didn’t have yesterday. From the bottom up:
Each track has its own page,
its own ask, and its own answer.
Enterprise compute, memory, storage and networking for on-premise training and inference.
Compute → 02The HandsAutomated liquid handling, sequencing and assay hardware to close the research loop.
Wet Lab → 03The FuelCapital for physical rungs of capability and sustained model inference.
Capital →