AI-powered identity verification and fraud detection for global enterprises
AU10TIX operates a machine-learning-centric identity verification platform built on PyTorch, TensorFlow, and Azure, with a data-heavy hiring mix (4 data roles vs. 1 engineer) that signals the company is doubling down on fraud-detection ML models rather than platform infrastructure. Active projects include a fraud intelligence hub and detection model refinement, while pain points center on gaps in model performance and the friction between regulatory compliance demands and frictionless onboarding — a tension that shaped their product roadmap.
AU10TIX is a Netherlands-based identity verification and fraud-detection platform serving large global brands through KYC, KYB, and AML compliance workflows. The company has authenticated billions of identities and claims to have prevented over $24 billion in fraud. The product stack spans document verification, biometric and liveness detection, and an automated global identity management system. Sales cycles are complex and compliance-driven; the company operates across Singapore, the United States, and Israel.
PyTorch, TensorFlow, Python, SQL, Azure, GitHub, Azure Machine Learning, Kafka, Spark Streaming, Tableau, Power BI, Qlik, pandas, NumPy, and scikit-learn.
AU10TIX is actively hiring in Singapore, the United States, and Israel, with headquarters in Amsterdam.
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