Where Biology Builds Chemistry

Proprietary datasets, validated in our lab

power our ML models, and capture not only novel enzyme functions, substrates, and transformations, but also the physical realities of the chemistry and reaction conditions through rich meta data. This unique data stream creates an active learning loop, enabling our models to uncover the true drivers of enzyme specificity and performance. The result: Better predictions for new enzyme–substrate transformations. Smarter generative models capable of designing enzymes with capabilities far beyond what exists in nature. Faster discovery cycles that reduce time and capital for new process discovery. At Scindo proprietary data meets AI to unlock enzymes far beyond nature's capabilities.