Australian commercial credit risk platform with AI-assisted decisioning
CreditorWatch operates Australia's largest commercial credit agency, serving SMEs and mid-market businesses with credit decisioning and collections automation. The tech stack reveals a modern ML-first approach: Databricks + Snowflake + SageMaker/Vertex AI for model deployment, paired with a frontend migration from Angular to React via Module Federation—signaling investment in component reusability and faster iteration cycles. Active hiring across sales (5 roles), support (3), and data/engineering teams suggests expansion in both GTM and model deployment velocity, with a stated pain point around accelerating model deployment and reducing dispute resolution time.
CreditorWatch provides credit risk management solutions across the full customer lifecycle: onboarding, automated credit decisioning, monitoring, and collections. The platform combines commercial credit data (ASIC information broker) with proprietary SME datasets, accessible through browser and mobile apps. The company operates exclusively in the Australian market, serving mid-market and small-to-medium enterprises. Revenue Cloud integration and Spiff implementation indicate active CRM standardization and sales compensation automation, placing the platform at the intersection of credit intelligence and sales operations.
CreditorWatch runs on AWS, Salesforce, Databricks, Snowflake, and SageMaker/Vertex AI for ML workflows, with a React + Angular frontend and MLflow for model tracking. Module Federation is in active adoption.
Active projects include Angular-to-React migration, Module Federation implementation, AI-assisted development workflows, Salesforce Revenue Cloud setup, and Spiff integration for sales compensation.
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