Search structured M&A transaction data, build precedent sets, and see who's buying what in small and mid-cap markets - without stitching together fragmented sources.
| Target | Buyer / Investor | Sector | Geo | Transaction size | EV / EBITDA |
|---|---|---|---|---|---|
| Suplos | Vesta Software Group | Enterprise Software | $12.8M – $17.2M | 6× – 8× | |
| Twikey | Smile Sail | Financial Technology (Fintech) (NEC) | $30.2M – $40.8M | 11× – 14× | |
| Open Automation Software | SeQent | Enterprise Software | $30.6M – $41.4M | 9× – 13× | |
| A&G 23 S.r.l. | Elor Holding Anonim Şirketi | Semiprecious Gem Stones | $1.4M – $1.9M | 5× – 6× | |
| Natolino Trasporti S.r.l. | Yuno Fantoni S.p.A. | Freight Trucking | $2.4M – $3.2M | 5× – 6× |
Each user comes to Dealert with a different job. The data is the same — the entry point is not.
Build a defensible comparable set for a fairness opinion or vendor DD in one screen — without paying for a seat licence you'll touch twice a week.
For advisers →Filter the universe by industry × geography × size band, then study any sponsor's full platform history alongside their bolt-ons.
For PE & VC →Maintain a sector watchlist, price your own pipeline against precedents, and have the appendix ready before the CEO asks.
For corp dev →Build the sector landscape your client's M&A team will actually re-use, not just present once.
For consultants →Search the database directly, or use one of the workflows built on top of it. Each tool runs against the same source records and the same sector hierarchy.
Given a target profile, surface the buyers and investors most likely to be relevant — ranked from historical acquisition patterns.
Save filtered views by sector, geography, sponsor or deal type. Get a digest the moment a matching transaction is added.
Deterministic ranking — same target and weights always return the same precedent set, defensible a year from now.
Start with a country slice, jump to a buyer profile, or browse the full directory. Free account, no card.