Qevlar AI
How Qevlar AI books 50+ Enterprise meetings every month — by calling new CISOs on day 1.
- Industry
- Cybersecurity — AI Agents for SOC
- HQ
- Paris, France
- Size
- 10–25
- Website
- qevlar.com ↗
Before. After.
Thomas didn't bolt Pronto onto a legacy stack — he designed the funnel from scratch around timing. He evaluated Clay and FullEnrich before choosing Pronto for end-to-end new-hire signals + verified mobile enrichment in one platform.
ClayEnrichment — lags 3–6 months on hiring signals
FullEnrichPhone enrichment — no signal layer, no AI qualification
Day-1 new-hire signals · waterfall enrichment · HubSpot routing — one platform, end-to-end- + 100 providers
Where Qevlar AI got stuck.
- Qevlar AI sells autonomous SOC investigation agents to Enterprise CISOs and SOC Managers — the hardest seat in cybersecurity to reach by phone.
- Generic cold lists from Apollo + manual research were yielding sub-3% connect rates. Tenured CISOs with entrenched stacks don't pick up unknown numbers.
- Spray-and-pray to a CISO email burns the brand. The team needed precision, not volume — a way to hit the few buyers who are actually in-market.
- The bottleneck wasn't dial volume. It was timing — and the mobile number to make the call land when the buyer is ready.
At this level, spray-and-pray fails. We needed a way to call the right person at the perfect time — every time.
How Pronto unlocked it.
- Stage 1 · The Signal — Qevlar tracks specific cybersecurity job changes: SOC Analysts becoming SOC Managers, and new CISO appointments. New hires want quick wins and are actively auditing their inherited stack — they're ready to buy in the first 30 days.
- Stage 2 · The AI Filter — before a human touches the lead, Qevlar's AI agents qualify the account on three axes: (a) cyber-team headcount via Apollo API, (b) SIEM / cloud stack via TheirStack, (c) Enterprise vs. MSSP via Linkup. Anything that doesn't match the ICP is dropped.
- Stage 3 · Pronto Enrichment — every qualified account runs through Pronto's waterfall (100+ providers under the hood) for a verified mobile and work email. HubSpot then deduplicates and creates a focused task on the rep's queue — no manual data hygiene.
- Stage 4 · The Warm Call — 85% of Qevlar's meetings come from the phone, with the new-hire angle: "Congrats on the new role. You're busy onboarding — let Qevlar handle the investigation alerts so you can focus on strategy."
- Outcome: ~50 qualified Enterprise meetings booked every single month — consistent, repeatable, and built on top of Qevlar's existing GTM team without adding headcount.
1 GTM Engineer fuels the playbook. AI does the qualification.
Thomas owns the system end-to-end. He configures new-hire alerts on Qevlar's ICP personas (new CISOs, SOC Manager promotions). Each match runs through three AI-agent checks — headcount, tech stack, Enterprise vs. MSSP — and only qualified accounts hit Pronto's enrichment waterfall. Verified mobile in, HubSpot task out, rep dials within hours. No daily ops work, no manual qualification, no cold lists.
More customer stories
“15% of our new pipeline last quarter came from new hires. We wouldn't have spotted them without Pronto.”
— Baptiste, Sales Manager, UberCase studyWeYou Group“We replaced Evaboot with Pronto and plugged it straight into our CRM via API. Email enrichment doubled, we started cold calling for the first time, and every SDR went from 10 to 15 meetings a week. Across 35 SDRs, that's a different business.”
— Alexis Gadrat, Head of Sales, WeYou GroupCase studyYousign“We replaced Evaboot, BetterContact, and our custom glue with Pronto's API inside Clay. Email and phone enrichment went from 55% to 85%, our tooling cost halved, and every account now lands in Salesforce with 3 verified contacts — even when the buyer's title is something nobody else would think to search for. That's what unlocked the team.”
— Paul de Framond, Senior Growth Outbound, YousignCase studyScalefast“We catch a new hire on day 1 — Clay would surface them 3 to 6 months in. That gap is the whole game.”
— Alex Jaglale, Founder, ScalefastCase studyBonx“We didn't replace Clay — we filled the gap Clay couldn't. Pronto found the Italian manufacturers Clay didn't index, and gave us phone numbers that actually rang. That's how we booked +6 meetings per rep in a market we couldn't crack before.”
— Malo, GTM Engineer, BonxCase studyMantu“Across 60 countries, we needed one source of truth for contact data. Pronto became the layer that scales our outbound globally.”
— Sophie, VP Growth, Mantu