--- title: "Qevlar AI case study: Cybersecurity outbound · Pipecorn" description: "Qevlar AI builds autonomous AI agents for the SOC. It books 50+ qualified Enterprise meetings every month by catching new CISOs and SOC Managers on day 1. AI…" canonical: "https://pipecorn.com/usecase/qevlar-ai" --- # Qevlar AI case study: Cybersecurity outbound > Qevlar AI builds autonomous AI agents for the SOC. It books 50+ qualified Enterprise meetings every month by catching new CISOs and SOC Managers on day 1. AI… Source: https://pipecorn.com/usecase/qevlar-ai [All case studies](https://pipecorn.com/usecase)Qevlar AI ![](https://www.google.com/s2/favicons?domain=qevlar.com&sz=128) How Qevlar AI books 50+ Enterprise meetings every month by calling new CISOs on day 1. TThomas BarteltGo-to-Market Engineer, Qevlar AI Industry Cybersecurity: AI Agents for SOC HQ Paris, France Size 10–25 Website [qevlar.com ↗](https://qevlar.com/) What we did −0%Tooling cost (€1.5k → €900 / mo) 0%Connect rate on new-hire angle Day 0CISO / SOC-Manager detection +0 qualified Enterprise meetings / month The stack ## The stack, _before and after._ Thomas designed the funnel from scratch around timing. He evaluated Clay and FullEnrich, then chose Pipecorn to get new-hire signals and verified mobile enrichment in one platform. BeforeEvaluated · two partial fits * ![](https://www.google.com/s2/favicons?domain=clay.com&sz=64)ClayEnrichment, lags 3–6 months on hiring signals * ![](https://www.google.com/s2/favicons?domain=fullenrich.com&sz=64)FullEnrichPhone enrichment, no signal layer or AI qualification Total tooling cost€1,500 / month New-hire signal freshnessStale (3–6 mo) End-to-end setupDIY glue AfterWon · end-to-end fit ![Pipecorn](https://pipecorn.com/assets/brand/LOGO.svg)Day-1 new-hire signals · waterfall enrichment · HubSpot routing, in one platform All in one platform * \+ 100 providers Total tooling cost€900 / month Connect rate85% New hire → warm callDay 1 The problem ## 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. Thomas Bartelt, Go-to-Market Engineer The solution ## How Pipecorn _solved 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, so 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 · Pipecorn Enrichment: every qualified account runs through Pipecorn'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. How the team operates ## AI agents qualify every account one GTM engineer finds. 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 Pipecorn's enrichment waterfall. Verified mobile in, HubSpot task out, rep dials within hours. No daily ops work, no manual qualification, no cold lists. Go-to-Market EngineerThomas BarteltConfigures the new-hire alerts and AI-qualification flow once. The system runs itself daily. New-hire alerts · CISO & SOC-org · fired on day 1 Chief Information Security OfficerNew CISO appointment · day 1 SOC ManagerSOC Analyst → Manager promotion · day 1 Head of Security OperationsJob change · day 1 Pipecorn WaterfallEach AI-qualified new hire runs through 100+ providers for a verified mobile + work email, feeding HubSpot tasks directly to the rep Sales team25 AEsSenior AE team calling AI-qualified Enterprise leads: every dial is a warm new-hire angle, 85% connect rate, \~50 Enterprise meetings booked / month ## More customer stories [Case studyUber“15% of our new pipeline last quarter came from new hires. We wouldn't have spotted them without Pipecorn.”Baptiste, Sales Manager, Uber](https://pipecorn.com/usecase/uber)[Case studyWeYou Group“We replaced Evaboot with Pipecorn 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 Group](https://pipecorn.com/usecase/weyou-group)[Case studyYousign“We replaced Evaboot, BetterContact, and our custom glue with Pipecorn'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, Yousign](https://pipecorn.com/usecase/yousign)[Case 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, Scalefast](https://pipecorn.com/usecase/scalefast)[Case studyBonx“We didn't replace Clay we filled the gap Clay couldn't. Pipecorn 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 Brinquin, GTM Engineer, Bonx](https://pipecorn.com/usecase/bonx)[InterviewHyperline“From half a day to build a call list to one hour. Sales now own their pipeline ideas they tell me 'I want to try this segment' and we have it in Attio in an hour. They're more excited to call lists they helped build, and the pick-up rate shows it.”Quentin Kozyra, Head of Growth, Hyperline](https://pipecorn.com/usecase/hyperline) [View all customers →](https://pipecorn.com/usecase) See it for yourself Want the same playbook Qevlar AI uses? Book a 20-minute demo with Pipecorn. [Book a demo →](https://zcal.co/t/pipecorn/discovery)