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Description
Flagright sets the modern AI-native standard for transaction monitoring. The platform enables financial institutions to centralize detection, investigation, and reporting of suspicious activity, streamlining regulatory workflows and strengthening financial crime controls. A high-performance, no-code scenario builder with sub-second API response times powers real-time monitoring, supported by tailored rules, dynamic risk profiling, and simulation tools that reduce false positives and improve decision accuracy.
This transaction monitoring foundation is enhanced by fully integrated AML screening that links each transaction and entity to global sanctions and watchlists; dynamic risk scoring that embeds behavioural and contextual risk directly into detection logic; and centralized case management that automates alert triage, investigation workflows, and SAR filing, maintaining audit-readiness across jurisdictions.
Flagright’s AI Forensics suite strengthens compliance operations across four critical areas: screening (reduces false positives in AML checks), monitoring (augments alert investigation capabilities), quality assurance (accelerates QA processes), and governance (simplifies policy management and regulatory compliance).
Financial institutions moving from fragmented tools to Flagright report a 93% reduction in false positives, 80% lower compliance costs, and a 27% drop in operational errors, with implementation typically completed within weeks. With customers across six continents and offices in the United States, the United Kingdom, Singapore, and Germany, Flagright delivers a transaction monitoring solution that scales with growth and adapts to evolving threats.
Description
Hawk AI combines AI and traditional rule-based approaches to monitor financial transactions. This ensures financial institutions are in compliance with anti-money laundering regulations. The solution includes classic rule-based models. These are enhanced with auto-closing features that are based on machine-learning models that learn from investigators' decisions through our case manager.
Hawk AI uses Anomaly Detection as a machine learning model that is unsupervised. This allows Hawk AI to identify new patterns in crime using insights from the platform's overarching nature which spans multiple financial institutions. The platform gives full transparency to machine decisions in order to provide the necessary clarity for regulators who require "explainable" AI. It also instills trust in the machine's actions. Hawk AI uses Artificial Intelligence to maximize automation and delivers significant cost savings through a 70% reduction in the required resources.
API Access
Has API
API Access
Has API
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Flagright
Founded
2021
Country
United States
Website
www.flagright.com
Vendor Details
Company Name
Hawk.ai
Founded
2018
Country
Germany
Website
hawk.ai
Product Features
AML
Behavioral Analytics
Case Management
Compliance Reporting
Identity Verification
Investigation Management
PEP Screening
Risk Assessment
SARs
Transaction Monitoring
Watch List
Product Features
AML
Behavioral Analytics
Case Management
Compliance Reporting
Identity Verification
Investigation Management
PEP Screening
Risk Assessment
SARs
Transaction Monitoring
Watch List
Financial Risk Management
Compliance Management
Credit Risk Management
For Hedge Funds
Liquidity Analysis
Loan Portfolio Management
Market Risk Management
Operational Risk Management
Portfolio Management
Portfolio Modeling
Risk Analytics Benchmarks
Stress Tests
Value At Risk Calculation