Key takeaways
- Enterprise h2oGPTe answers questions across your deal documents and cites the passages behind each answer.
- Document AI reads scanned filings, tables and image-heavy reports, so the whole corpus becomes searchable, not only the clean PDFs.
- H2O Driverless AI builds a classification model that scores how likely a public company is to be acquired over a chosen time frame, from fundamentals and text signals.
- Deal documents and the models can stay in your own environment throughout.
The answer is in the documents, and the clock is running
A mandate starts with reading. Annual reports, MD&A sections, earnings transcripts, analyst notes and news all hold part of the story on a target's value drivers and risks, and your analysts assemble it by hand.
The same questions come back on every deal. What changed in management, where margins moved, what leverage looks like against peers: your team answered many of them on the last mandate, but the answers sit in old memos nobody can find. Deal work is also confidential, so material that cannot leave your perimeter rules out tools that send documents to an outside service.