
at the Sequence Level
Most medicines fail because they can't get where they need to go.
We are building a way to design medicines that can.
Many powerful medicines never reach their target. They get stuck at biological barriers like cell membranes or the blood–brain barrier.
Today, delivery is mostly trial and error. There is no clear way to predict what will work.
We believe delivery is not random. Biological barriers follow physical rules.
If we can learn those rules, we can design medicines that pass through them.
Delivery should be designed,
not guessed.
An AI-driven loop that turns experiments into computable delivery rules
We use AI to model how molecular sequences interact with biological barriers. The system predicts which sequences are likely to pass — and why.
We test predictions against real biological barriers. The results become data the system can compute on, not just observations.
The model updates itself based on what actually happens. Over time, it learns the rules that make delivery work.
Each experiment adds new data. The System becomes smarter with every cycle.
This has not been solved before. If it were easy, it would already exist.
But if it works, it could unlock medicines that were never possible before.
Medicines that reach the brain
Medicines that work inside cells
Medicines designed for delivery from day one
Scientists who want to design better medicines
Pharma teams tired of delivery failures
Researchers who believe biology follows rules
Partners interested in bold collaboration
We are early. We are exploring a big idea. If this way of thinking resonates with you, we'd love to talk.