Our technology generates drug candidates across disease and therapy modalities. Accelerate your drug discovery process, streamline preclinical R&D, and create better therapies with generative deep learning.
Use large language models (LLMs) and knowledge graphs to decode disease biology and find new druggable targets.
Build immunotherapies and other biologics from a target or set of targets and a description of the type of therapy you need.
Characterize pockets in any protein and generate novel hand-in-glove drug-like molecules.
Evaluate efficacy, toxicity, and other systems biology effects using realistic digital patients.
As the servers rest during idle time, they dream up new therapies for high-impact diseases and targets using the best-in-class pipelines developed by the Omic team. We validate the top in silico therapies in digital patient cohorts and then advance them to the lab. These novel therapies, conceived by Omic's deep learning models and pipelines, make up our DreamAI pipeline.
OMIC0001 | Solid Tumors
Multi-target | Biologic
OMIC0002 | Hyperlipidemia
Multi-target | Small molecule
OMIC0001 | Solid TumorsMulti-target | Biologic
OMIC0002 | HyperlipidemiaMulti-target | Small molecule