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 |
|---|---|---|---|---|---|
| Frigegro | Coup de Pates | Frozen Food Manufacturing | $16.4M – $22.2M | 5× – 7× | |
| NEXDINE Hospitality | Healthcare Services Group | Residential & Long-Term Care | $93.5M | 7× – 10× | |
| Melville Independent PLC | Wren Sterling | Multiline Insurance & Brokers (NEC) | $11.2M – $15.2M | 6× – 8× | |
| Kisaco Research | Forge | Sales Promotions & Events Management | $32.0M – $43.2M | 7× – 9× | |
| EMDAD | NMDC Group | Oil Related Services | $52.0M – $70.0M | 5× – 7× |
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.