AI-driven fraud detection and AML compliance for financial institutions
Tookitaki builds fraud detection and anti-money laundering systems for Asian financial services. The stack is heavily weighted toward infrastructure automation (Terraform, CloudFormation, Jenkins) and observability (Elasticsearch, Kubernetes), with Java and Python as core languages—a pattern typical of high-volume transaction processing. Security and engineering dominate the hiring mix, suggesting active work on detection tuning and cloud hardening; current projects track this across Cloudflare WAF, CrowdStrike, and AWS IAM, while the recurring pain point of false positives indicates the core technical challenge is improving detection fidelity without over-alerting.
Tookitaki develops fraud detection and AML compliance platforms for financial institutions in Asia. The product surface spans two main areas: the AFC Ecosystem, a community-driven platform for sharing financial crime patterns and intelligence, and FinCense, an end-to-end compliance platform covering name screening, customer due diligence, transaction monitoring, and fraud detection. The company operates at 51–200 employees across Singapore, India, and Malaysia, with significant customer relationships among regional financial and fintech operators. The business model combines API-driven transaction monitoring with collaborative threat intelligence and regulatory alignment tooling.
Java, Python, AWS, GCP, Kubernetes, Elasticsearch, Terraform, CloudFormation, Jenkins, and Cloudflare. Security tooling includes CrowdStrike, AWS KMS, and Vault; testing uses Selenium, JUnit, and TestNG.
Singapore. The company was founded in 2015 and operates across Singapore, India, and Malaysia.
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