Relate: Network Relationship Discovery
Dynamic customer knowledge graphs to reduce risk and fraud
Challenge
Know your customer and who’s connected to them
Unifying, enhancing, and managing data can help you know your customer. Inside and out. But can your current solutions reveal the hidden ties within your customer network?
The answer is likely no.
The lack of relationship discovery leaves you open to potential threats and vulnerabilities that are often cleverly concealed in customer data.
A knowledge graph plays a critical role in Know Your Customer (KYC) and anti-money laundering (AML) efforts. It helps prevent and investigate financial crimes by providing insights into the movement of money among customers and identifying noncompliant customers.
Product Overview
Make invisible patterns visible
Reveal hidden patterns, anomalies, and connections between your customer and business entity data. Builds a knowledge graph of everyone linked to a particular customer (or entity), to quickly know if Customer A has a relationship with high-risk Customer B or Entity C that made a related party transaction.
Go beyond surface-level associations into advanced relationship discovery using in-memory processing, ML, and proprietary mathematical models. Peel layers in your customer data to find ties and identify how an individual or group is related.
Benefits
Deductively links records based on common attributes, forming family units
Maximum positive matches; never misses a correct match with minimal false positives
Real-time views of the entities and their connections in your data with high precision
Compatible with various databases, hardware, apps, and operating systems
Use Cases
Wider, deeper knowledge graphs
Rapidly Visualize Connections
Get an aggregated view of unknown relationships and linkages between customers and entities
Reduce Fraud
Build a detailed knowledge graph or family tree to uncover suspicious motives like tax evasion
Mitigate Risk
Safeguard global business by exercising caution when dealing with relatives or associates of individuals and entities with a fraudulent history or non-performing assets (NPAs)
Cross- Or Up- Sell
Identify linkages such as family ties, household members, co-workers, or business associates to extend relevant products or services
Business Growth
Measure how products or services fall short, meet or exceed customer expectations, identify areas of improvement, and drive growth by adapting to global market demands
Where Relate Works
Achieve relational intelligence
With Relate, you not only know your customer but also understand their world
The Impact
Solving current challenges, shaping the future
Frequently asked questions
With over two decades of experience as a deep-tech enterprise, we provide future-ready, privacy-enhancing customer data solutions that meet GDPR, DPD & Data residency laws while empowering businesses with contextual and actionable customer insights in real-time.
Our proprietary mathematical algorithm uses VEARE (Vectorized, Encoded, Anonymized, Randomized, and Encrypted) tokens. These tokens keep customer data secure and private at all stages of processing and sharing.
Banking and financial services leverage the Posidex PrimeMDM suite for risk management, fraud reduction, regulatory compliance, comprehensive customer view, cost reduction and overall business growth.
Yes, we offer customized AI/ML-supported solutions for data quality & management, regulatory compliance, network analysis, entity resolution, and risk management.
Our solutions have intuitive UI which is highly configurable with existing systems and requires minimal training.
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