The third pillar of the network. We take a founder's own documents and turn them into the work investors expect to see — due-diligence reports and pitch decks — by pairing AI on the ORQO platform with the human experts already in our network. Machine speed, human judgment, syndicated into one process.
"Syndicated" is the point. We don't hand you a raw model output and call it done — we syndicate machine intelligence with the seasoned experts in our network.
The AI does the heavy lifting it is good at: reading every file, holding the whole data room in view at once, and drafting fast. Our experts do what they are good at: judgment, context, and the read of what a specific investor will actually care about. Both products below run on that same blend — the same ingestion, the same engine, the same human-in-the-loop. Only the deliverable changes.
Feed in your data room once; choose what comes out.
A six-to-eight-week engagement that reads your data room each week and returns an updated investor-readiness report and action plan — so weak spots surface early and get fixed before an investor finds them.
The same ingestion, pointed at a different output: a polished, investor-grade pitch deck drawn straight from your own materials — standardized, fast, and consistent, in days rather than weeks.
Both products move through the same three steps. Your material stays inside infrastructure we control — see the data-handling page for the full boundary.
You place your material in a shared folder. ORQO syncs and reads the contents — every file, in full — inside infrastructure we control.
The model works through the data room while our experts steer the analysis — framing the questions, checking the output, and adding the context only a human brings.
You receive the finished artifact — a readiness report or a pitch deck — that stays yours, with a clear path to refine it further.
Sensitive due-diligence material runs through Zero Data Retention endpoints by default, or entirely on isolated infrastructure your data never leaves. We lay out exactly what we process, where it goes, and who touches it on the data-handling page.