HR and payroll platform with embedded AI for employee lifecycle management
ELMO Software operates an integrated HR and payroll platform serving 2,000+ organizations across Australia and New Zealand. The tech stack reveals a hybrid architecture—Salesforce/Apex for CRM, Node.js/NestJS/React for modern web services, and AWS/Snowflake/dbt for data infrastructure—with active adoption of .NET and aggressive exploration of AI (OpenAI, Anthropic, Bedrock, LangChain). The project list and pain points align: embedding AI workflows, integrating AI across multiple SaaS products, and automating HR processes signal a deliberate shift from traditional workflow automation toward intelligent systems.
Notable leadership hires: Technical Lead
ELMO Software is a publicly listed HR and payroll software provider founded in 2002, headquartered in Sydney. The platform covers the full employee lifecycle—recruitment, onboarding, learning management, payroll, performance management, and succession planning—in a unified interface. It serves over one million end users across Australia and New Zealand, positioned primarily at mid-market organizations. The company maintains local data hosting and support infrastructure and holds ISO-certified security credentials.
ELMO uses Salesforce, Node.js, React, TypeScript, NestJS, PostgreSQL, DynamoDB, AWS Kinesis, Snowflake, dbt, and Python. The stack also includes Apex/Visualforce for Salesforce customization, ASP.NET/C# for backend services, and OpenAI/Anthropic/LangChain for AI integration.
ELMO Software is headquartered in Sydney, NSW, Australia. The company is publicly listed and was founded in 2002. It actively hires in Australia and the Philippines.
ELMO Software'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.