A deal-sourcing desk doesn't want a list of who raised money — that's a database query. It wants to know who's ripe: mature private companies whose backers need liquidity, in a sector where the exits are real. The graph scores that, from the funding history up — and maps the exit market around it.
Nine growth-stage private cyber companies, one deterministic signal: time since last raise. A well-funded company that hasn't repriced in ~3 years is a company whose investors are looking for an exit — the textbook PE entry. One that raised last month is not for sale at any sane price. The graph sorts them instantly:
| Company | Raised | Last raise | Idle | Read |
|---|---|---|---|---|
| Blackpoint Cyber | $190M | Jun 2023 | 38 mo | RIPE |
| SpyCloud | $110M | Aug 2023 | 35 mo | RIPE |
| Silverfort · IL | $116M | Jan 2024 | 30 mo | RIPE |
| Huntress | $210M | Jun 2024 | 25 mo | MATURING |
| Halcyon | $280M | Nov 2024 | 20 mo | MATURING |
| ThreatLocker | $365M | Jul 2026 | 0 mo | TOO HOT |
| Cyera | $2.2B | Jun 2026 | 2 mo | TOO HOT |
Cyera ($2.2B raised, last round 2 months ago) is a database "top result" — and exactly the wrong target: it's on an IPO track, not for sale. The graph demotes it and surfaces the quiet $110–190M names that have gone three years without a repricing. That inversion is the entire job.
A target is only ripe if there's a buyer. The graph's M&A edges show the cyber exit market is hot — from strategic mega-deals to PE take-privates:
Palo Alto paying $25B for CyberArk sets the ceiling; PE take-privates and tuck-ins fill the mid-market. Strategic and financial buyers are both active — so the shortlist above has a live bid behind it, not a theoretical one.
Crunchbase / PitchBook answer "who raised money in cyber?" — a flat list, sorted by recency or size, that puts the un-buyable $2.2B unicorn on top. The graph answers the deal question: it scores exit-pressure from each company's funding timeline (deterministic — code owns the signal), then walks the M&A edges to prove the exits are real and who's paying. Same data everyone has; the difference is the connections and the scoring. And it re-runs itself — when a target raises (or a buyer moves), the screen updates on its own.