Private equity deal sourcing databases fall into two camps. One camp sells workflow: thesis search, CRM sync, relationship intelligence, contacts and signals. The other sells the company universe itself: records you can filter, export, enrich and score in your own system. Most firms eventually need both, but they should not confuse the two.
The practical PE stack
- Universe building: define the market by geography, sector, size and ownership.
- Scoring: rank companies by fit, web footprint, ownership, growth signals and exclusions.
- Research: review websites, filings, news, management pages and competitors.
- Relationship mapping: identify owners, advisors, executives and warm paths.
- Outreach: only after a thesis and target list are clear.
“A PE deal sourcing database should include contacts from day one.”
Source: Common sourcing software assumption
Half true. Contacts are useful later, but the first job is usually market definition. For thesis-driven sourcing, a clean company universe is often the cheaper and more controllable starting point.
When Veltria is useful for PE
Veltria is useful when a team wants to build an initial lower-middle-market universe: for example, US healthcare services companies with $10M–$50M estimated revenue, or European industrial companies in specific countries. It is not a relationship-intelligence platform. It is the raw material for a proprietary deal map.
When another tool is better
If your firm wants an integrated sourcing workspace with contacts, CRM sync, trigger events and thesis search, Grata or SourceScrub may be a better fit. If you already have a CRM and scoring workflow, Veltria can be the cheaper source layer feeding that process.
Build a PE target universe from company-level US and Europe firmographics.
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