Advanced Name Screening for Compliance and Security
[🤖 AI-POWERED] • [🔍 NAME SCREENING] • [🔒 SECURE]
🧠 LLM-Enhanced • 📊 Fuzzy Matching • ☁️ Scalable
Transform compliance with intelligent, real-time screening
Why FinCrime NameSift LLM?
FinCrime NameSift LLM is a cutting-edge platform for financial institutions, leveraging FastAPI, Streamlit, and Ollama’s LLMs to deliver real-time name screening and risk assessment. With fuzzy matching, vector-based similarity search, and PostgreSQL with pgvector, it ensures precise detection of high-risk entities while maintaining compliance and security.
Key Features
🔍 Intelligent Screening: Real-time fuzzy matching with sub-second responses.
📋 Watchlist Management: Supports CSV, JSON, and ISO 20022 XML for bulk processing.
🤖 AI Analytics: LLM-powered risk explanations and predictive insights.
🎨 Premium UI: Dark-mode, responsive Streamlit interface with customizable dashboards.
🔒 Secure Architecture: JWT authentication, PostgreSQL with pgvector, and Redis caching.
☁️ Cloud-Ready: Deployable on AWS, Azure, and GCP with horizontal scaling.
Security by Design
FinCrime NameSift LLM ensures robust security with JWT authentication, rate limiting, and ACID-compliant PostgreSQL storage. All data processing, including LLM analysis, is optimized for privacy and compliance, with comprehensive audit trails for regulatory reporting.
Integration with KinAI Ecosystem
FinCrime NameSift LLM integrates with the KinAI Ecosystem, sharing screening results via a secure chat hub for responses like: “High-risk entity detected; review required.” It complements KinAI-Vision, CareVault, NexPatrol, Mentor, and GeoPulse for a comprehensive compliance solution.
Get Started
Explore FinCrime NameSift LLM on GitHub for setup guides, code, and documentation. Enhance your financial crime detection today!
Empower financial institutions with intelligent, secure CDD
Why FinCrime CDD Intelligence?
FinCrime CDD Intelligence is an enterprise-grade platform for financial institutions, combining AI/ML with regulatory compliance for seamless customer onboarding and risk assessment. Powered by Streamlit, XGBoost, and LLMs via Ollama, it automates document validation and delivers precise risk scoring, deployable across AWS, Azure, and GCP.
Key Features
🧑💼 Customer Onboarding: Collects data and validates documents using AI (llava:7b).
📈 CDD Risk Scoring: Combines XGBoost and LLM (granite3.2) for structured and unstructured risk analysis.
📄 Document Validation: Identifies passports, IDs, and income proofs with high accuracy.
⚖️ Risk Categorization: Classifies customers as low, medium, or high risk in real-time.
☁️ Multi-Cloud Support: Deploys on AWS, Azure, and GCP with Kubernetes orchestration.
🔒 Secure Design: Uses SQLite locally, with enterprise options for encrypted cloud storage.
Security by Design
FinCrime CDD Intelligence ensures enterprise-grade security with AES-256 encryption, TLS 1.3 for data in transit, and comprehensive audit logging. It supports SOC 2, PCI DSS, and GDPR compliance, with multi-cloud redundancy for 99.99% availability.
Integration with KinAI Ecosystem
While a standalone solution, FinCrime CDD Intelligence can integrate with the KinAI Ecosystem, sharing risk insights via a secure chat hub for responses like: “High-risk customer detected; manual review required.” It complements KinAI-Vision, CareVault, NexPatrol, Mentor, and GeoPulse.
Get Started
Explore FinCrime CDD Intelligence on GitHub for setup guides, code, and documentation. Strengthen your financial crime prevention today!
