Australia's credit risk and collections platform for SME lending
CreditorWatch operates Australia's leading credit management platform, serving mid-market and SME lenders with risk decisioning, monitoring, and collections automation. The tech stack reveals a Salesforce-centric sales and revenue organization (Salesforce CPQ, Billing, Revenue Cloud, Agentforce) paired with data and ML infrastructure (Databricks, MLflow, SageMaker, Vertex AI, Snowflake) — indicating active investment in automated collections and risk modeling. Active projects span capital raising, M&A evaluation, and AI initiatives, while hiring accelerates across sales (5 open roles) and engineering (3), suggesting expansion beyond their core Australian SME market.
Notable leadership hires: IT Team Lead
CreditorWatch provides credit decisioning, risk management, and collections automation to Australian businesses across the customer lifecycle. Founded in 2010, the company operates as an ASIC-regulated information broker serving SME lenders, mid-market corporates, and their credit teams. The product spans customer onboarding, automated credit decisions, commercial monitoring, and debt collection workflows. The organization is headquartered in Sydney and operates entirely within Australia, with 201–500 employees and accelerating hiring velocity across sales and engineering roles.
CreditorWatch runs Salesforce (CPQ, Billing, Revenue Cloud) for sales operations, AWS + Snowflake + Databricks for data and ML, and Angular/React for frontend. ML inference uses SageMaker and Vertex AI; identity is managed via Okta and Microsoft Entra.
Active projects include scaling collections into the corporate market, AI initiatives, contract lifecycle management, renewal playbooks and strategic expansion, plus M&A evaluation and capital raising efforts.
CreditorWatch'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.