Cloud-based POS and restaurant operations platform serving 25,000+ locations globally
Restroworks operates a fully integrated cloud restaurant-management system covering point-of-sale, inventory, kitchen automation, kiosks, and analytics. The tech stack reveals infrastructure-first engineering: Kubernetes, Prometheus, Grafana, Datadog, and New Relic across AWS, Azure, and GCP indicate heavy investment in observability and multi-cloud reliability—critical for global restaurant chains running 24/7 operations. Current hiring (5 roles, all in last 30 days) is sales-dominated with leadership focus on lead generation, ICP definition, and India market entry, signaling a shift toward structured enterprise go-to-market over product-led growth.
Restroworks is a cloud-based enterprise restaurant management platform used by 25,000+ restaurants globally. The product unifies front-of-house and back-of-house operations across QSR, fine dining, casual dining, and café formats. Active across the US, Middle East, Southeast Asia, and UK, the platform delivers integrated POS, inventory management, kitchen automation, self-ordering kiosks, and analytics. The company employs 51–200 people, based in San Francisco, and was founded in 2012.
Restroworks runs on AWS, Kubernetes, and PostgreSQL/MySQL, with observability via Prometheus, Grafana, Datadog, and New Relic. CI/CD uses Jenkins and GitLab. Cloud security includes Wiz, Lacework, and Snyk. Multi-cloud deployment includes Azure and GCP.
Current projects include Kafka-based event streaming, distributed microservices architecture, observability implementation, and go-to-market initiatives: lead generation strategy, ICP targeting, pipeline creation for enterprise and mid-market segments, and regional expansion campaigns in the Middle East and India.
Restroworks's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.