We have built an AI-guided automated synthesis platform because the Make step shouldn’t be the bottleneck in DMTA cycles. Here’s what that means in practice.
We rely not only on manual filters and functional group exclusion rules. Our ML models, guided by Phil — our AI chemist — are trained on internal synthesis data. The models predict actual success probability for your specific combination of substrates, not just template matching. This means that we can take on compounds that would be filtered out by conservative rule-based systems, while avoiding confident predictions on reactions that will not work.
Our median lead time is under 10 business days, with the fastest orders being shipped within 5 days. This timeline covers sourcing of building blocks, synthesis, purification, and QC. We operate entirely in the United States. Building blocks come from US-based suppliers with validated performance.