Analytics Studio
by Hawk · Financial crime and fraud · Munich, Germany
AI lifecycle management solution for building, training, optimizing and governing AML and fraud detection models.
What Analytics Studio does
- Self-service model creation
- Model training and retraining
- Automated model documentation
- Built-in explainability
- Model performance dashboards
- Automated governance and versioning
- GenAI-assisted model design
- FinCrime-specific typology templates
What Analytics Studio is used for
- Building AML detection models
- Building fraud detection models
- Model governance and compliance
- Regulatory reporting and audits
- Rapid model development
Who Analytics Studio is for
- Banks
- Payment companies
- Fintechs
- Neobanks
About Hawk
AI-powered AML, fraud detection and screening for financial institutions.
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Also by Hawk
- Transaction Monitoring: AI-powered monitoring of transaction activity to detect suspicious behavior and money laundering risk.
- Customer Risk Rating: AI-driven customer risk scoring that consolidates all customer data to assess overall risk profile.
- Customer Screening: Watchlist screening to identify sanctioned entities and high-risk customers at onboarding and ongoing.
- Payment Screening: Real-time screening of payment transactions against sanctions lists to prevent illicit transfers.
- Transaction Fraud Check: AI-powered fraud detection that identifies fraudulent transactions across payment channels in real-time.
- AML AI Overlay: AI-powered enhancement layer that improves existing AML systems with advanced risk detection.
More in this category: AML, KYC and fraud detection software.
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Built by Vederca from public sources, last updated 2026-10-18.