give it one thing it lacked - time.
Nature gave RNA four letters. We give it many more.
These extra characters do more than widen the alphabet - they let RNA keep expressing protein for far longer. Same biological message; a far more lasting way to translate it.
mRNA
Expression measured in days
xRNA
Expression measured in months
Months, not days
Site-specific chemistry shields the molecule from degradation, extending protein expression from days to sustained weeks and months.
Low immunogenicity by design
Precise positional engineering is designed to lower innate immune sensing - for a clean safety profile and the repeat dosing chronic care requires.
Precise to the letter
Each modification sits exactly where it earns its keep - single-position control.
Made to scale
High-yield, scalable synthesis from clinically proven chemistries - a manufacturable product with attractive COGS.
Multifactorial disease needs more than one lever
The hardest chronic diseases rarely come from a single cause. They emerge from interlocking biological networks - modulate one node and the network simply reroutes around it, which is why single-target therapies so often hit a ceiling.
A programmable combination of payloads, each directed at an independent driver and produced in a coordinated, synchronized way - with the stoichiometry tuned to the biology.
Cardiometabolic is just the start
Cardiometabolic disease is our first focus, a fast-growing frontier within one of medicine's largest markets. The first wave of therapies captured value at surface-level targets, while the underlying biology, the real driver, goes largely unaddressed and keeps progressing.
Beyond cardiometabolic, the same long-acting, multi-pathway approach applies to any chronic disease driven by more than one cause.
Designed by deep learning,
built by chemistry, validated in-vivo.
Because xRNA is built through a hybrid of enzymatic assembly and chemical synthesis, it isn't bound to nature's four letters.
A deep-learning engine maps a vast library of chemical modifications and co-optimizes the whole molecule - cap, UTRs, coding sequence and tail - for the specific demands of each payload.
Design across an expanded chemical space
A model trained on non-natural building blocks predicts the structure–activity relationships traditional four-letter models can't perceive — designing the molecule as a whole rather than swapping interchangeable blocks.
Position-specific modification
We place each modification exactly where it earns its keep — single-letter control that tunes stability and the immune signal, drawn from a library of clinically proven chemistries.
A closed loop that gets smarter each cycle
Design
AI-designed libraries output candidate fragments across the expanded chemical space.
Build
Proprietary combinatorial assembly builds many unique constructs in tandem.
Measure
Rapid, high-throughput screens quantify expression and durability across many candidates at once.
Learn
Results retrain the model, sharpening the next design round.
.avif)
.avif)
.avif)
.avif)
.avif)
.avif)
.avif)
.avif)
.avif)
News
Let's rewrite what RNA can do
We partner with pharma and investors to bring durable RNA medicine to chronic disease. Tell us what you're working on.
