Rapidly design reliable synthesis pathways

Our technology is approximately two orders of magnitude faster than most competitors. This enables us to test significantly more approaches and build otherwise unachievable features.

We have achieved state-of-the-art performance on a standard benchmark for retrosynthesis: better than all published approaches, including models used by top competitors.

Our models do not only give accurate predictions, but also explain them to chemists and give relevant estimates of uncertainty. This is crucial for execution of the proposed plans in the laboratory.

Most competing solutions were designed 15+ years ago and do not utilise recent advances in UX design. This is key to achieve wide adoption relatively quickly.

There is no “one-size-fits-all” when it comes to synthesis planning. We offer our clients many customisations, ranging from adapting search criteria to rapid API development for internal integrations.

ble ble ble The “black box” nature of AI makes it challenging to understand why certain predictions are made. Our focus on model interpretability makes us well -positioned to collect more meaningful data faster.