Hawk

What Hawk does

Hawk provides award-winning AML and fraud technology powered by explainable AI to help banks, payment firms, and fintechs worldwide protect their institutions and customers. Their solutions increase risk coverage, identify more financial crime, and reduce false positives. Hawk offers a unified platform for AML transaction monitoring, payment screening, pKYC, and fraud detection, designed to maximize efficiency and effectiveness for financial institutions and regulated entities. The company's AI-native approach is built to handle growing volumes, new product lines, and expansion into additional markets, offering flexible deployment options including SaaS and private cloud.

Products

• AMLAI-powered technology to streamline AML programs, reduce false positives, and surface more true risks. Includes Transaction Monitoring, Customer Risk Rating, AML AI Overlay, and AML Investigative Agent.
• ScreeningComprehensive watchlist screening to protect institutions from risky clients and sanctioned payments. Includes Customer Screening and Payment Screening.
• FraudAI-powered prevention technology to block fraudulent activity in real-time across all payment rails and channels. Includes Transaction Fraud, Check Fraud, and Scams & Mules.
• FRAMLAn all-in-one solution built to break down data silos, providing a holistic view of FinCrime risks.
• AML Investigative AgentAn Agentic AI solution to instantly scale AML operations and boost the efficiency of investigations.
• Analytics StudioAn AI Lifecycle Management Solution to streamline the building, optimization, and governance of AI models for AML and fraud, managing the entire AI lifecycle from a single, integrated environment.
• Customer Risk RatingSoftware for personalized risk insight and focused risk monitoring, allowing for static, dynamic, and behavior-based risk scoring throughout the customer lifecycle.
• Alert & Case ManagementA unified case manager to efficiently route, investigate, and action alerts across AML, fraud, and screening, managing the entire FinCrime program from one place.
• SAR / CTR FilingAccelerates the SAR process from detection to submission, without compromising on narrative quality.
• Entity Risk DetectionProvides entity intelligence and network analytics to surface hidden threats and increase the efficiency and effectiveness of AML and fraud programs.
• AML AI OverlayAugments existing AML systems with AI-driven detection to reduce false positives and reveal hidden risks without replacing the current system.

Key capabilities

• Explainable AI
• Real-time accessible AI
• Self-serve rule set up
• Scalable platform
• Flexible approach with modern API architecture
• Modular platform
• Seamless integration with existing systems
• SaaS or private cloud deployment options
• Comprehensive documentation for model governance
• AI-native solution
• Production simulation with live data
• Unified KYC, screening, and transaction monitoring
• Multi-tenant SaaS architecture
• Multi-cloud deployment for global availability
• Real-time processing
• Strong resilience & disaster recovery
• Automated model governance, versioning, QA, and validation
• Proactive performance monitoring and sampling
• No-code configuration of workflows, typologies & rules
• Automated network generation and risk propagation
• Relationship visualization for investigations

Use cases

• Reduce financial crime risks
• Streamline AML programs
• Protect institutions from risky clients and sanctioned payments
• Block fraudulent activity in real-time
• Gain a holistic view of FinCrime risks
• Increase risk detection
• Prevent losses and intercept high-risk transactions
• Reduce compliance costs
• Improve effectiveness and efficiency of financial crime operations
• Mitigate risks more effectively, even in blind spots
• Strengthen defenses against money laundering
• Meet AML obligations
• Adapt detection in minutes, not months
• Stop suspicious activity as it occurs
• Accelerate SAR process
• Increase efficiency and effectiveness of AML and fraud programs through entity and network analytics
• Identify entity risk at onboarding
• Detect connections to higher-risk entities
• Identify shell company risk
• Detect account opening fraud risk
• Improve AML, fraud, and sanctions operations
• Streamline the AML investigative process through data collection, case categorization, and automated SAR narrative crafting
• Detect sanctions violations, money laundering, and fraud
• Aid investigations and improve QA processes
• Manage alert workloads and investigate activity
• Consolidate financial crime and compliance data and alert management
• Continuously assess customer risk
• Refresh customer risk ratings at defined intervals
• Conduct ad-hoc risk assessments
• Automate risk rating updates in response to defined events
• Build, optimize, and govern AI models for AML and fraud
• Respond to evolving threats at speed
• Augment existing AML systems without replacement

AI approach

Hawk uses explainable AI and machine learning to detect financial crime, reduce false positives, and improve efficiency in AML and fraud detection. They build their own AI models, including deep learning models like XGBoost, CNNs, VAEs, and Big Bird LLMs, and offer an AI Lifecycle Management Solution (Analytics Studio) for model development, optimization, and governance. Their AI is designed to be transparent and auditable for regulatory compliance.

Tech named: AI, Machine Learning, Explainable AI, Agentic AI, Generative AI, XGBoost, CNNs, VAEs, Big Bird LLMs, Apache Kafka, Kubernetes, Containerd, Spring Boot/Cloud, RESTful JSON API

Industries served

• Financial Services
• Banking
• Payment Companies
• Fintech
• Neobanks

What it says sets it apart

• Award-winning AML & CFT technology
• Powered by explainable AI
• Increases risk coverage and identifies more crime
• Reduces false positives by over 70%
• Combines AML transaction monitoring, payment screening, and pKYC in one tool
• Adds fraud detection for comprehensive coverage
• Unified, modern FCC platform
• Typology-focused AI
• Performant decisions at enterprise scale
• Self-serve rule configuration and sandbox testing
• Real-time accessible AI with explanations
• Scalable to handle growing volumes and new markets
• Flexible approach with modern API architecture
• Modular platform with multiple solutions under one contract
• Seamless integration with existing core banking and data management systems
• Safe & secure deployment (SaaS or private cloud)
• Comprehensive documentation for model governance and regulatory compliance
• AI-native solution, not retrofitted to legacy systems
• Real-time detection with optionality to stop suspicious activity
• Production simulation with live data for precision model development
• Human-understandable model explanations
• Unified KYC, screening, and transaction monitoring in one platform
• Flexibility to deploy (SaaS, VPC, on-prem)
• Cloud-native platform with constant releases
• Multi-tenant SaaS with dynamic horizontally scalable architecture
• Multi-cloud deployment for global availability and data residency
• Real-time processing at the core (milliseconds response time)
• Strong resilience & disaster recovery with redundancy at all levels
• Deep financial industry knowledge
• Automated model pipelines, built-in governance, and seamless integration for AI in production
• Custom AI models built based on specific needs (XGBoost, CNNs, VAEs, Big Bird LLMs)
• Industrial-grade model pipeline for collaborative development and model retraining in <1 day
• Real-time, high throughput model performance (30,000 TPS)
• AI analysis of all transactions, flagged or not, to check and balance existing detection
• Automated model documentation with exportable governance artifacts
• Self-service, co-pilot guided model creation
• FinCrime-specific typology templates and expert model frameworks
• Automated AI model pipeline generation and training
• Continuous model improvement with side-by-side version analysis
• Granular user permissions
• Dynamic filters and scoring for alert prioritization
• Customer-centric, context-driven investigations
• Pre-built workflows for consistent reviews
• Centralized management dashboards with performance insights
• Continuous analyst upskilling with alert sampling and QA
• Entity resolution of customer data
• Automated network generation and risk propagation
• 360° view and lean visualization of each customer’s network

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.