Vox AI operates a voice AI platform purpose-built for quick-service restaurants, handling orders across drive-thru, phone, and mobile app in multiple languages through a single brand-consistent voice. The stack reveals a mobile-first, infrastructure-heavy design: iOS/Android native clients paired with WebRTC/WebSockets for real-time voice, FastAPI + Kafka for backend orchestration, and Kubernetes + Terraform for cloud scaling. All four engineering hires are senior-level, and active projects center on POS integrations and real-time pipelines—matching stated pain points around scaling the integration layer and securing third-party connections.
Vox AI builds a voice AI system for QSR operators to automate order-taking across multiple customer touchpoints. The platform uses natural language processing to conduct voice conversations in any language, then routes confirmed orders to existing POS systems. Founded in 2023 and based in Amsterdam with a 2–10 person team, the company is early-stage but engineering-focused, currently concentrating on expanding integrations with major POS providers and hardening the security of third-party connections.
Backend: Python (FastAPI), Go, and TypeScript. Mobile: Swift (iOS) and Kotlin (Android). Infrastructure: Terraform and Pulumi for deployment automation.
Third-party POS integrations, API bridges, and webhooks to connect voice ordering to existing QSR systems. Active projects include real-time data pipelines and monitoring for those integrations.
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