
Explore
Case Studies
Financial Community Graph Data

“klastroNode is a graph-based clustering algorithm that optimizes automatically and analyzes financial transaction data to detect hidden anomalies and locate suspicious entities within a financial network.”
This enables us to enhance fraud detection, prevent money laundering, and support regulatory compliance.


Financial Networks
Strengthening financial networks
klastroNode uncovers hidden patterns to build trust
Enhancing transparency: klastroNode reveals the unseen for a safer tomorrow
klastroNode leverages advanced network analysis to uncover hidden patterns and anomalies in complex systems. By identifying unseen connections and irregularities, it empowers organizations to enhance transparency and build trust within their networks. Whether in social science, public health, finance, or security, klastroNode provides actionable insights that help prevent risks, ensure compliance, and create a safer, more reliable future for everyone.
KlastroNode detects hidden risks, safeguarding trust in financial ecosystems
klastroNode analyzes complex transaction networks to detect unusual patterns and enhance security. By identifying hidden anomalies, it helps organizations ensure compliance and maintain trust in financial systems.
Unveiling Hidden Communities: KlastroNode for Smarter Networks
klastroNode uncovers hidden communities and connections within complex networks, enabling organizations to better understand underlying structures and dynamics. By identifying clusters of influence and revealing relationships that might otherwise remain invisible, klastroNode provides actionable insights to strengthen decision-making, enhance transparency, and mitigate risks. This powerful capability helps organizations address challenges in areas such as social science, public health, financial integrity, and security, paving the way for a safer and more trustworthy future.
Don’t have a NoSQL Database? No Problems
Graph analysis doesn’t have to come with the heavy costs and complexities of transitioning to a NoSQL database. With klastroNode, you don’t need to worry about overhauling your infrastructure or exposing sensitive user data. Our solution klastroNode only requires minimal information—source, destination, and weight—so there’s no need to share usernames, IDs, or other sensitive details. Even encrypted data works seamlessly with our algorithms, ensuring your data remains secure while delivering powerful insights into your network. Simple, secure, and scalable—klastroNode makes advanced graph analysis accessible to everyone.
Finds out how securely financial assets can be tracked.
System Requirements:
- Docker (for containerized execution)
- NVIDIA Docker Toolkit (nvidia-docker2) for GPU acceleration inside the container
- CUDA 12.4-compatible drivers (for GPU-based computations)
- Ubuntu 22.04 / Windows WSL2 Ubuntu 22.04
Supported GPUs:
• NVIDIA RTX A series (RTX A6000, RTX A5000, RTX A4000, etc) : Recommended
• NVIDIA Quadro series (Quadro RTX 8000, Quadro RTX 6000, Quadro RTX 5000, etc) : Recommended
• NVIDIA Tesla series (Tesla V100, Tesla P100, etc) : Recommended
• NVIDIA Geforce RTX series (RTX 4090, RTX 4080, RTX 4070, RTX 4060, RTX 4050, RTX 3090 Ti, RTX 3090, etc)
• NVIDIA Geforce GTX series (GTX 1650, GTX 1660Ti, etc)
On-Premises Deployment Requirement
The KlastroNode series does not provide cloud-hosted services due to customer data privacy concerns. Enterprise customers must set up and maintain their own on-premises servers to deploy the software.
• Customers are responsible for server provisioning and maintenance.
• KlastroNode supports Linux-based GPU environments with Docker compatibility.
• We provide installation guides and technical support, but infrastructure setup is managed by the customer.
KlastroNode-Vertex Enterprise Licensing
KlastroNode-Vertex operates on a server-based licensing model for financial institutions. Each server requires a valid license, and users within the institution can access the system without per-user limitations.
License Type: Monthly-Based Subscription SaaS.
Licensing is based on the number of GPU-powered analysis containers running concurrently.
Services (GPU Container License) | Monthly Rate (EURO) | Monthly Rate (CAD) | Monthly Rate (USD) |
Enterprise Single Container | €880.00 | CA$1,300.00 | $963.00 |
Enterprise 5 Containers | €4100.00 | CA$6,400.00 | $4,500.00 |
Enterprise 10 Containers | €7500.00 | CA$11,700.00 | $8,185.00 |
Enterprise 15 Containers | €9700.00 | CA$15,200.00 | $10,641.00 |
Additional Containers (15+) | + €880.00 per container | + CA$1,300.00 per container | + $963 per container |
For a demo or contract consultation, please contact us using your official financial institution email.
Contact:
Visit Us
Locate Us on the Map
Our physical presence mirrors our commitment to being a beacon of creativity and expertise.
• Our business conduct and compliance policy • Term of Service • Privacy Policy
Address: 373 Gangnam Daero, Seocho-Gu, 11-104, Seoul, Republic of Korea, 06621
Reg. No.: 373-81-03700
Representative: Yongwoo Jeong, CEO.
Support: