PitchGrade generates, reviews and rewrites pitch decks, with a research layer alongside it: an analyst agent working through SEC filings, comparison tooling and automated DCF models.
Pairing deck creation with underlying research is a sensible combination, because a pitch deck is downstream of analysis that most founders do badly or not at all. Market sizing, comparable companies and a defensible set of financial assumptions are what an investor probes, and they are exactly the slides that fall apart under questioning when the deck was built first and justified afterwards.
Treat generated financial models as a starting structure, not an answer. A DCF is almost entirely determined by its assumptions – growth rate, discount rate, terminal value – and automation is precisely where those get chosen without anyone noticing they were chosen. Read every input before presenting the output, and note that none of this is investment advice, for you or for anyone you show it to.
