Rasyn
Making chemicals 100,000x faster
About Rasyn
We builds foundational AI models for chemistry. Almost nothing you buy is a single chemical. Products like datacenter coolant, GPU thermal paste, paint, and glue are formulations, which are mixtures of around ten ingredients each, and demand for them has grown quickly because of AI and EVs. Designing a new formulation is essentially a search problem, because there are more possible mixtures than anyone could ever test, and none of them can be predicted in advance. As a result, bringing a single formulation to market today takes three to five years of trial and error in a lab. Our models predict how a mixture will behave far faster than the standard methods used today, which lets us design new formulations in weeks rather than years, at a fraction of the cost. To prove this, we used them to invent three chemicals that never existed before, including a PFAS-free coolant for datacenters, and we have since synthesized and patented all three. We are already working with some of the largest manufacturers to design formulations for them, and we are building our own lab to generate the data that will train our next models.
Founders
Daood Hashmi
Founder
Founder at Rasyn. Currently a researcher in the Arnold and Marcus Lab at Caltech, working with a Nobel Laureate to build diffusion models that predict organic reaction mechanisms and propose novel synthetic pathways. Previously ran DFT and molecular dynamics simulations in the Goddard Lab. Chemical Engineering at Caltech.