A lot has been invested in heavy AI-based computation for drug design and has unfortunately not seen much progress, with several candidates failing clinical trials.
On the other hand, we see significant promise when game-theoretic minded computational chemists work in collaboration with data-driven augmentation tooling.
Data-driven tooling doesn't necessarily involve heavy compute and can often be in the form of light-weight computation features with excellent UI.
Parallel work is in pursuit on the side of gamified biochemistry structural design. With ventures such as Foldit and Druglike experimenting with the efficacy of this space through introducing problem-solving through playable games.
Based on a proprietary methodology, The Tesseract solves the hardest parts of connecting compute with chemistry, chemistry with games, and most of all - breaking out of the combinatorial space to novel efficient solvers, once and for all.