ReactWise

AI Co-Pilot for Chemical Process Optimization

Y CombinatorSummer 2024ActiveB2BEngineering, Product and Design

What they do

Problem

Chemical process development for scaling pharmaceuticals is slow and costly due to trial-and-error experimentation and exhaustive screening.

Solution

An AI co-pilot that uses data-driven optimization and robotic experiment execution to accelerate chemical process development in the wet lab.

Who it's for

Wet-lab chemists and pharmaceutical process development teams designing and optimizing scalable manufacturing processes.

Founders

Alexander Pomberger

Founder

Alexander holds a PhD in chemical engineering, and has been working at the intersection of machine learning, chemistry and lab automation for the past 5 years. In his research, Alexander developed optimization algorithms to aid in designing manufacturing processes for novel pharmaceuticals. Alexander launched ReactWise to democratize access to AI in pharma & biotech with no-code software.

Daniel Wigh

Founder

Daniel holds a PhD in chemical engineering, and has been working at the intersection of machine learning and chemistry for the past 5 years. In his research, Daniel developed optimization algorithms to aid in designing manufacturing processes for novel pharmaceuticals. Daniel launched ReactWise to democratize access to AI in pharma & biotech with no-code software.