The Discovery Tsunami

For the last decade, the biotech industry has been obsessed with discovery. We have AlphaFold, CRISPR, and DNA-encoded libraries. We are drowning in potential drug targets. The faucet is wide open.

But downstream, the pipe is clogged. This is the Great Stagnation.

While we can simulate a molecule in seconds, moving that molecule into a human patient still takes 18 months of pushing PDFs back and forth until the heat death of the universe. This creates a bottleneck where brilliant science dies waiting for a Gantt chart from hell.

AGI-Augmented Pharma

Fibonacci Bio is built on a contrarian thesis: The hardest problems in pharma today are not biological; they are logistical and linguistic.

An IND filing is just a very specific arrangement of text. A clinical protocol is just a logical set of instructions. These are tasks that Large Language Models (LLMs) excel at—not just assisting with, but executing.

We are building the first AI-native drug development company where the "operating system" is not a hierarchy of middle managers, but a swarm of autonomous agents. We don't just want to make drugs faster; we want to break Eroom's Law forever.