Precision RNA
Therapeutics
through AI

At GARDN we're fusing deep learning with synthetic biology to make RNA design predictable and instant. Our models learn directly from transcriptomic and structural data, capturing the complex relationships that govern translation, stability, and immunogenicity. This allows us to generate complete, optimized mRNA constructs tailored to specific cells, cargos, and therapeutic goals.

We're building the compiler for programmable biology to transform how RNA-based treatments are conceived, developed, and delivered to patients.