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Qevlar AI Tech Stack
AI-powered SOC platform that automates security alert investigation
Qevlar AI operates an agentic security platform built on Python, SQL, and cloud infrastructure (AWS, Azure, GCP) that integrates with industry-standard detection tools—SIEM, EDR, XDR, SOAR, Splunk, Sentinel, CrowdStrike, SentinelOne. The hiring mix is heavily sales-focused (9 sales roles vs. 3 engineering), with active projects centered on pipeline development, forecasting, and GTM acceleration—typical of an early-stage security vendor scaling revenue while managing burn-rate pressure and cross-border compliance complexity.
Tech Stack 19 technologies
Core StackHubSpot AWS Splunk CrowdStrike SentinelOne Python Slack Okta SIEM EDR Azure GCP XDR SOAR Sentinel XSOAR SQL Google Workspace Jamf
What Qevlar AI Is Building
◆Challenges
- Boosting productivity of cybersecurity teams
- Building high-quality sales pipeline
- Accelerating go-to-market efforts
- Cross-border complexity
- Commercial contract protection
- Compliance across multiple jurisdictions
- Building data-driven people engine
- Burn rate and runway
- Accelerating ramp time
- Improving forecast accuracy
▲Active Projects
- Sales pipeline development
- Build forecasting and budgeting capabilities
- Autonomous security alert investigations
- Redesign onboarding process
- Implement performance and feedback systems
- Optimize working capital
- Outbound strategy optimization
- Sales onboarding program
- Enterprise & mssp enablement
- Localized enablement content
Hiring Activity
20 roles · 4 in 30d
Department
Seniority
Notable leadership hires: Finance Director
Company intelligence
