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!

Visit FinCrime NameSift LLM on GitHub

Built with ❤️ for security, intelligence, and compliance.