Pro5 operates an AI recruiter that automates candidate sourcing, vetting, and shortlisting. The stack reveals dual operational modes: a core ML/data platform (Python, RAG, Kubernetes, Databricks, BigQuery) paired with HR infrastructure (Greenhouse, BambooHR, Rippling, ADP Workforce Now). Active projects span retrieval-augmented generation and agentic workflows, indicating investment in multi-step candidate reasoning and autonomous matching. Hiring velocity is accelerating across engineering and ops, suggesting both product iteration and operational scaling.
Pro5 is a Singapore-based AI recruitment platform founded in 2021. The company specializes in automating technical hiring workflows, including sourcing, vetting, and shortlisting for software engineering, data engineering, full-stack development, QA automation, and product design roles. The product targets mid-market and enterprise teams seeking faster, lower-cost hiring cycles. With 11–50 employees and active hiring across engineering, operations, and sales, the company is scaling internationally across 12 countries including Malaysia, Turkey, China, and India.
Core platform: Python, RAG, Kubernetes, Databricks, BigQuery, Snowflake. ML ops: Docker, Terraform, AWS. HR integrations: Greenhouse, BambooHR, Rippling, ADP Workforce Now. Analytics: Google Analytics, SAS, R.
12 countries: Singapore, Malaysia, India, Vietnam, Philippines, China, Turkey, Poland, Czech Republic, Bulgaria, Portugal, and Netherlands.
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