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 |
|---|---|---|---|---|---|
| Marlyn Chemicals | Letsema Holdings | Specialty Chemicals (NEC) | $8.5M – $11.5M | 5× – 6× | |
| Streamline Avionics | Aero1 Group | Aerospace & Defense Electronics | $18.0M – $24.0M | 6× – 8× | |
| SAY | Dekuple Group | Business Support Services (NEC) | $14.0M – $19.0M | 6× – 8× | |
| Exaring AG or waipu.tv | freenet AG | Alternative Communications Services | $76.0M | 13× – 17× | |
| 340BIntel, LLC | 8 Bridge Group, LLC | Healthcare Facilities & Services (NEC) | $30.6M – $41.4M | 10× – 14× |
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.