VectorShift works across a private markets investment process. It compares management presentations against what the virtual data room actually contains, tracks new filings and gaps as a deal progresses, monitors portfolio companies with risk alerts, records and indexes partner calls, and lays companies side by side in a table for comparison.
Checking the deck against the data room is the specific job worth automating. Every diligence process involves someone reading a confident set of slides and then finding whether the underlying documents support them, and it is slow, thankless and exactly where deals go wrong. Full sourcing on every answer is what makes the output usable in an investment committee, where an unattributable claim is worth nothing.
It is SOC 2 Type II and GDPR compliant with single-tenant deployment and no training on customer data, which is the minimum for anyone handling data rooms. No pricing is published. Pattern-finding across past deals reflects the firm’s own history including its mistakes, and an AI reading of a data room supports diligence rather than discharging it.
