All-in-one POS and hospitality operations platform for Asia-Pacific venues
Liven operates a multi-tenant POS and hospitality management platform across 6,000+ venues in Australia, Southeast Asia, and the USA. The tech stack reveals a mid-scale backend migration in progress: the core runs on Python/Django and Node.js with Kafka and Spark for event streaming and analytics, but the company is actively adopting TypeScript and Next.js, suggesting a modernization of both backend services and frontend tooling. Engineering-heavy hiring (17 of 26 active roles) paired with projects around containerization, monitoring, and test automation indicates Liven is addressing operational reliability issues — client churn and system uptime appear to be the primary technical blockers holding back growth.
Notable leadership hires: Tech Lead
Liven builds an integrated platform for restaurants, bars, and cafes covering POS, kitchen management, digital ordering, loyalty programs, inventory tracking, and CRM. The product serves hospitality operators across Australia, Southeast Asia, and the USA. The company operates a distributed team and is hiring for senior and lead engineering roles in Indonesia, India, and Australia, with current focus areas including merchant onboarding, loyalty engines, and backend infrastructure scaling. Founded in 2015, Liven is privately held with 51–200 employees.
Python, Django, Node.js, TypeScript, React on the frontend; Kafka, Apache Spark, DuckDB, and dbt Cloud for data processing; Docker and Kubernetes for infrastructure; and Salesforce, Zendesk, HubSpot for business tools. TypeScript and Next.js are under active adoption.
Liven powers over 6,000 venues across the Asia-Pacific region, including restaurants, cafes, and bars using its POS, ordering, and loyalty platform.
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Liven'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.