Digital hotel operator and SaaS platform for hospitality management
Treebo operates two distinct businesses: a 600+ hotel chain across India with premium-budget positioning, and Hotel Superhero, a SaaS platform for hotel management systems. The hiring profile is sales-heavy (60% of open roles) focused on regional expansion and supply growth, while tech choices (Python, Django, Selenium, Appium, analytics via Metabase/Tableau) and active projects around data management, AI-first creative workflows, and rate parity monitoring reflect internal platform maturity supporting both the hotel operations and external software product.
Notable leadership hires: SEO Director
Treebo operates India's largest budget-hotel chain, with 600+ properties across 100+ cities serving economy and premium-budget travelers, complemented by Hotel Superhero, a SaaS product offering centralized reservation, property management, revenue management, and channel management systems. The company targets hospitality operators ranging from boutique hotels and vacation rentals to mid-sized and global chains. Treebo is headquartered in India with 501–1,000 employees and was founded in 2015 as a privately held company. Active projects span supply expansion, franchising, profitability optimization, and brand-narrative initiatives, with ongoing challenges in closing franchise deals, scaling hotel portfolios, and ensuring rate parity across distribution channels.
Treebo operates two units: Treebo Hotels, a 600+ hotel chain in India's premium-budget segment rated 7.8/10 by customers, and Hotel Superhero, a SaaS platform offering integrated hotel management software (reservations, property management, revenue management, channel management) for hospitality operators globally.
Treebo uses Python, Django, and Flask for backend development; Selenium and Appium for testing; Metabase and Tableau for analytics; and integrations with Expedia, Agoda, and distribution platforms. SEMrush, Ahrefs, and Google tools support marketing and SEO.
Treebo Hospitality Ventures'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.