Key takeaways
- Enterprise h2oGPTe can answer questions across the papers, abstracts and internal reports you load, and cite the passage behind each statement so a scientist can check it.
- Document AI can pull genes, targets, compounds, diseases and reported findings into structured output that your informatics team can load into the knowledge graph it already runs.
- An agent can watch approved sources and send a cited digest of new evidence for the targets and programs you track, including possible safety signals for your pharmacovigilance team.
- The assistant gathers and cites evidence. It makes no efficacy claim, and your scientists and medical reviewers decide what the evidence means.
The evidence for your target is spread across thousands of papers
Your team needs to know what is already known about a target, a pathway or a compound before it commits a program. That evidence sits in journals, preprints, conference abstracts, patents and years of internal study reports, and each source uses its own names for the same gene or compound.