Venture · Cybersecurity · Tech & Startups
A London-based cybersecurity firm preparing a $9M raise faced a cold-start problem: it had no investor list. Building one by hand — Googling funds, checking theses, finding contacts — would consume three weeks the team would rather spend pitching.
Using the Verified Investor Database to source thesis-matched VCs and family offices, an Intelligent Pipeline CRM with 9-stage tracking to manage them, and the Fundraising Command Center to run the raise, the firm built a 300-investor pipeline in just 72 hours — compressing three weeks of manual sourcing into three days.
Before a cybersecurity firm can pitch, it needs to know whom to pitch — and that list doesn't exist for free. Identifying VCs and family offices that actually back cybersecurity, at the right stage and check size, means hours of manual research per fund: reading theses, checking portfolios, hunting down the right partner and contact details.
Done by hand, building a list of 300 qualified investors would take roughly three weeks. That's three weeks before the first pitch goes out — pure setup cost that delays the entire $9M raise and burns founder time on research instead of relationships.
And a flat list isn't a pipeline. Even with 300 names, the firm needed structure to manage them: a way to track each investor through outreach, meetings, diligence, and commitment. Without a fundraising-native system, 300 contacts would quickly devolve into an unmanageable spreadsheet.
The firm skipped manual sourcing entirely by drawing on the Verified Investor Database, filtering for VCs and family offices with documented cybersecurity and adjacent deep-tech allocations at the firm's stage and check size. Instead of researching funds one by one, the team pulled a thesis-matched universe of 300 qualified investors directly — the single biggest source of the 72-hour speed-up.
Those 300 investors flowed straight into an Intelligent Pipeline CRM built around fundraising, not generic sales. Its 9-stage tracking gave the firm a structured path for every investor — from initial contact through outreach, first meeting, partner meeting, diligence, and commitment — so a large pipeline stayed organized and actionable from day one rather than collapsing into a spreadsheet.
The entire raise ran from the Fundraising Command Center, giving the firm a live view of all 300 relationships at once: how many were in each stage, where the momentum was, and how the pipeline mapped against the $9M target. This turned a big list into a managed, forecastable operation.
Together, the database, the 9-stage CRM, and the Command Center compressed what is normally three weeks of setup into 72 hours — and produced not just a list but a fully structured pipeline the firm could work immediately.
The headline is speed: a 300-investor, thesis-matched pipeline built in 72 hours, versus the three weeks the same effort would have taken by hand. The firm started pitching days after deciding to raise, rather than weeks.
Because the 300 investors entered a 9-stage Intelligent Pipeline CRM rather than a flat spreadsheet, the firm could manage the full pipeline against its $9M target from the start — tracking every fund's stage and prioritizing the warmest without losing anyone in the volume.
The before-and-after is essentially a 7x compression of fundraising setup: three weeks of manual sourcing collapsed into three days, with a better-structured, fully-tracked pipeline than manual research would ever have produced.
| Metric | Before | After |
|---|---|---|
| Pipeline build time | ~3 weeks (manual) | 72 hours |
| Investor sourcing | Manual Googling | Verified Database |
| Pipeline structure | Flat spreadsheet | 9-stage CRM |
| Raise visibility | Fragmented | Command Center |
With a Verified Investor Database feeding an Intelligent Pipeline CRM, a startup can build a thesis-matched pipeline of 300 investors in 72 hours — versus roughly three weeks of manual sourcing.
Filter a Verified Investor Database for investors with documented cybersecurity and deep-tech allocations at your stage and check size, rather than researching funds one at a time by hand.
A 9-stage Intelligent Pipeline CRM keeps a large investor list structured and actionable — tracking each fund from contact to commitment — so 300 investors stay manageable instead of collapsing into chaos.