What do baking a cake and manufacturing a drug have in common? More than you might think:
Both are about finding the perfect recipe - and both are secretly solving complex multi-objective optimization problems.
In baking, we might want to maximize taste while minimizing the amount of calories, by experimenting with:
– Baking time & temperature
– Butter, sugar, milk ratios
– Yeast vs. baking powder
Both continuous and categorical parameters!
Every time we tweak a recipe, we learn. We improve. We get closer to that perfect slice.
Now switch to a chemistry lab.
When making a drug, we might aim to maximize yield and minimize impurities by varying the following:
– Reaction temperature & time
– Solvents, catalysts, and reagents
– Concentrations of reactants & other components
The number of possible combinations is in the millions, and every experiment is costly.
At ReactWise, we help chemists navigate this complexity.
Our software acts as a co-pilot: it learns from past experimental data, models the underlying chemistry, and understands how different parameters interact.
Based on that, it recommends the most promising next experiments - helping chemists reach their goals, such as higher yield & lower impurities, faster.
Whether it’s cake or chemistry, it’s all about learning from each iteration - and making smarter decisions with every step.
Want to chat about chemical optimization or cake recipes?
I’m always up for both - one smells better, the other saves lives.
Drop me a pm.