Revenue management and market intelligence platform for hotels and short-term rentals
Lighthouse operates a data and pricing intelligence platform for hospitality, processing real-time rates and occupancy signals across 70,000+ properties globally. The stack reveals a data-first, API-centric engineering approach (Python, Go, Kubernetes, high-performance APIs) paired with a sales-led hiring surge (31 open sales roles vs. 13 engineering) and active adoption of AI/agent infrastructure — suggesting a strategic pivot toward AI-powered recommendations and automation within their core revenue-management product.
Lighthouse provides commercial intelligence and revenue-optimization tools to hotels and short-term rental operators. The platform aggregates real-time market data, competitive pricing, and demand forecasting in a single dashboard, enabling pricing and distribution decisions across 185 countries. The company operates from Denver with 501–1,000 employees and serves 70,000+ properties. Revenue model appears rooted in SaaS subscriptions (NetSuite, Salesforce, Gainsight present in stack) with integrations into major PMS systems (Mews, SiteMinder, Cloudbeds) to embed insights into guest-facing and operational workflows.
Python, Go, Kubernetes, Django, AWS, GCP, Looker, Salesforce, NetSuite, and integrations with SiteMinder, Mews, and Cloudbeds for PMS connectivity.
Modern revenue stack implementation, AI agent infrastructure, high-performance APIs for hotel data, pipeline engine development, and geographic expansion into Australia.
Lighthouse'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.