Case study · From the Pluris libraryReceipt no. 6549
What sucked
Sourcing was manual and time-intensive, with analysts assembling company profiles individually and consuming thousands of hours annually.
Institutional knowledge was trapped across DealCloud, SharePoint, and personal folders, and diligence required manual review of thousands of VDR documents.
What they built
Eliza built three AI products sequentially: a proprietary sourcing engine evaluating 2,000+ companies per search with scored shortlists, an institutional knowledge search spanning 20 years of deal history, and VDR intelligence giving natural-language access to data room documents with page-level citations.
What changed
$12.5M+
Value created on a single deal
6,000 hrs/yr
Annual search time eliminated (137–275x ROI cited)
1–2 wks/deal
Diligence compressed per deal ($625K–$875K/yr; VDR adds $5–10M+ carry/deal)
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