Revenue management platform for hotels, resorts, and casinos
Duetto operates a revenue management system for hospitality properties, built on AWS with Java microservices, Salesforce, and business intelligence tools (Tableau, Apollo). The company is mid-migration from a Java monolith to microservices while simultaneously building observability (Prometheus, Grafana, Datadog) and CI/CD automation — typical architecture investments for a SaaS platform scaling beyond its original single-tenant design. Hiring has accelerated across engineering, sales, and leadership roles, with 56 positions posted in the last 30 days and notable director-level additions, suggesting expansion into new markets (Latin America) and partner channels.
Notable leadership hires: Global Marketing Director
Duetto provides pricing optimization, financial forecasting, and group business management software for hotels, resorts, and casinos. The platform runs on AWS infrastructure and integrates with Salesforce for CRM and Tableau for analytics. Founded in 2012, the company operates from San Francisco with distributed team presence across the US, Europe, Latin America, and Asia-Pacific. The product is positioned around automating revenue decisions at the property level — dynamic pricing, forecast-driven inventory allocation, and group business workflows. Current operational priorities center on modernizing the underlying platform architecture, strengthening information security posture (SOC 2, vendor assessments), and scaling market coverage in Latin America and through a partner ecosystem.
Java, AWS (RDS, Lambda, Load Balancing, Secrets Manager, KMS), Salesforce, Tableau, Datadog, Prometheus, Grafana, Jenkins, Terraform, and API Gateway. The stack reflects a monolith-to-microservices migration pattern.
San Francisco, California. The company employs 51–200 people and hires across Spain, United States, Singapore, Croatia, Mexico, United Kingdom, and Canada.
Duetto'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.