Our vision is to unlock the potential of AI in chemical engineering

Use advanced data-driven optimization for rapidly identifying ideal (bio)chemical process parameters without writing even a single line of code. ReactWise accelerates process development up to 30x by effectively incorporating prior data.
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Founders

Profile image of CEO & Co-Founder, Alexander Pomberger, PHD
CEO & Co-Founder

Alexander Pomberger, PhD

Alexander conducted his PhD studies in chemical engineering at the University of Cambridge with experience in organic chemistry, continuous flow chemistry and machine learning for reaction optimization.
Profile image of CTO & Co-Founder, Daniel Wigh, PHD
CTO & Co-Founder

Daniel Wigh, PhD

Daniel conducted his PhD in chemical engineering at the University of Cambridge with a strong quantitative background and experience in data engineering and machine learning for chemistry.

Scientific Advisors

Profile image of Scientific Advisor Prof. Alexei Lapkin
Scientific Advisor

Prof. Alexei Lapkin

Alexei is a Professor of Sustainable Reaction Engineering at the University of Cambridge. His research group focuses on sustainable manufacturing of molecules, formulations, and functional materials by developing machine learning methods and Big Data approaches to design reaction pathways for a circular economy.
Profile image of Scientific Advisor Prof. Steven Ley
Scientific Advisor

Prof. Steven Ley

Steven Ley is a Professor of Organic Chemistry at the University of Cambridge and a former President of the Royal Society of Chemistry. He developed over 140 total syntheses for natural products, and has pioneered continuous flow chemistry for multi-step synthesis publishing more than 900 academic research papers over 50 years.
Profile image of Scientific Advisor Prof. Connor Taylor
Scientific Advisor

Prof. Connor Taylor

Connor is an Assistant Professor of Chemical and Environmental Engineering at the University of Nottingham. His research group focuses on self-driving laboratories for autonomous reaction optimization, data-rich experimentation, and machine learning for chemical applications.