Drug discovery began as a serendipitous, trial-and-error effort. Montai is pioneering a new era of predictable discovery for small molecule medicines that would not have been possible even a few years ago. Fueled by the exponential growth in biochemical data and far more powerful computational tools, we are decoding the complex language of chemistry computationally, generating deep network understanding of chemical structure to biological function relationships, so that we find the right molecules and can efficiently predict the potential in any molecule across the widest possible chemical diversity to become a drug.

When we apply these powerful tools to aggregate and then survey the landscape of richly diverse Anthromolecule chemistry, we can predictably and efficiently find, prioritize and validate the best possible keys to unlock any biology pathway door.

Montai is aggregating and curating the world's largest, fully-annotated set of Anthromolecule chemistry - bioactive molecules humans have chronically consumed in foods, supplements, and herbal medicines.

We have developed proprietary tools to generate and curate over 100M analogs derived from Anthromolecule chemistry which opens accessibility to this privileged diverse chemistry at scale for efficient drug development. Analogs are accessible in few retrosynthetic steps and have good drug like properties.

Embedded in this space are many proven molecular modalities for unlocking complex biology, such as covalent binders, macrocycles, molecular glues and protein-protein interaction inhibitors. Now we can search this space universally for the first time to find optimal solutions.

Anthromolecules have co-evolved in humans over millennia, interacting with our own biology to maintain health. Approximately 87% of Anthromolecules are structurally unique versus synthetic libraries most drug development focuses on today, presenting a far greater variety of building blocks for engaging disease pathways that have eluded traditional medicinal chemistry approaches. Montai's AI tools efficiently unlock precision connections between this diverse chemistry and the known drivers of complex disease biology creating new ways to treat diseases with a pill.