We apply cutting-edge machine learning to accelerate the discovery and optimization of innovative drug delivery systems — uniting computational modeling, chemical design, and rapid lab validation.
Kosha builds an integrated platform for lipid nanoparticles — AI-driven design of molecular structures that improve how drugs move through the body.
Our founders helped build the LNP-mRNA science behind medicines that reached hundreds of millions of people — range that spans synthesis, formulation, and in vivo validation as much as computation. That span is what the platform runs on: computation and wet lab under one roof, and nothing is trusted until it clears both.
Generative models design novel lipid structures from scratch, reaching regions of chemical space traditional medicinal chemistry never would. Predictive models then score each candidate on delivery efficiency, tissue tropism, and tolerability — narrowing millions of possibilities to the few worth making.
The result is a design cycle measured in days, where every batch synthesized trains the next generation of models.
Cutting-edge ML models that predict and optimize molecular structures for enhanced drug transport — reducing experimental cycles from months to days.
Computational exploration of vast chemical spaces to identify novel delivery candidates with precision, guided by multi-objective optimization algorithms.
State-of-the-art laboratory infrastructure for rapid synthesis and testing — closing the loop between in silico predictions and real-world experimental data.