But with so much biomedical data, only a small fraction of the information from datasets ever makes it into the text of publications or patents, with most instead deposited into scattered databases and supplemental files, never to be seen again.
Our revolutionary focal graph approach, which combines knowledge graphs and centrality algorithms, enables us to identify the strongest connections between diverse and disparate data points. Google pioneered it, we’re re-purposing it—this time within the field of biomedical research.
We cover numerous data formats—from clinical studies, scientific literature, all omics, and yes, even chemical structures. We’re close to 1 billion data points and we’re just getting started.
So whether you’re looking for novel drug targets, new disease indications, patient selection biomarkers, or safety assessment, we got you.
Plex delivers specific experimental data points that support all findings, including links to the original data sources.
AutoPlex can plan, execute, and interpret large numbers of Plex searches, enabling large-scale autonomous research campaigns that generate novel discoveries while providing full details of the strategy used and the experimental validation data uncovered.
Leverage the scale and scope of publicly available data sets, with the option to securely and privately integrate your organization’s own proprietary data.
We’ve integrated the latest LLM models to mine our search results, delivering detailed, verifiable results in a language scientists can understand.
And with AutoPlex, our ground-breaking AI agent, complex drug discovery workflows can be built and run largely autonomously.
