Hotel operations platform uniting revenue, analytics, and back-office automation
Otelier consolidates five hospitality software brands (MDO, Datavision, Focal Revenue, HelloGM, InTouch) into a unified platform for hotel operators. The tech stack spans full-stack web (React, Angular, .NET) backed by MongoDB and Postgres, with data infrastructure anchored in Snowflake and AWS — and hiring patterns show heavy engineering investment (4 of 7 open roles) focused on data pipeline work and cloud-native architecture, aligned with active projects in data integration and analytics modernization.
Otelier provides hotel operators with integrated software for revenue management, back-office automation, analytics dashboards, and night-audit workflows. The company sells to mid-market and enterprise hotel groups in the United States and operates development teams across the U.S., India, and Sri Lanka. Product spans five core modules addressing reservations, reporting, contract management, and operational compliance. Scale challenges center on SOC 2 compliance, IT security ops, and enterprise data governance across diverse property systems.
Otelier builds on MongoDB and PostgreSQL for application data, Snowflake and AWS for analytics infrastructure, React and Angular for frontend, and .NET/Spring Boot/Java for backend services. Testing and deployment use Jira, TestRail, Postman, and Azure DevOps.
Current priorities include onboarding/offboarding automation, data pipeline development for analytics, cloud-native data solution design on AWS, and IT infrastructure for end-user experience. Internal challenges focus on scaling security and data governance frameworks.
Otelier'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.