Network Intelligence · Graphyte Technology

The science of connecting the dots.

Understanding relationships is the key to uncovering systemic financial crime. Network Intelligence is the discipline within Graphyte™ that connects people, organizations, ownership structures, counterparties, and transactions to reveal risks that isolated records miss.

Diagram showing relationship network: Maroven Export Services Group is the initial search subject linked by an 'Investment of' relationship to Caldrin Logistics Inc., which is labeled as a 1st degree relationship. Caldrin Logistics Inc. connects via a 'Subsidiary of' relationship to a building icon with three red exclamation marks indicating 2nd degree relationships.

The Risk Can Be Hidden in Relationships

Red background with six slightly darker red circles arranged vertically and diagonally on the right side.
Red horizontal banner with two rows of large, semi-transparent red circles overlapping on a solid red background.

the problem

Isolated records hide systemic risk.

Financial crime rarely happens in a vacuum, yet traditional systems evaluate transactions, KYC profiles, and screening alerts individually. Shell companies, nominee owners, intermediaries, and complex transaction chains are designed to obscure who is connected and how. When teams investigate one record at a time, meaningful patterns remain hidden and research becomes fragmented and manual.

the fix

Treat relationships as risk signals.

the building blocks

Six functions, one discipline.

Turn fragmented data into explainable, investigation-ready networks.

Relationship Expansion

Trace relevant connections around customers and counterparties to reveal risks beyond the initial alert.

Ownership and Control

Map corporate structures, beneficial owners, subsidiaries, and controlling parties across layers of legal entities.

Counterparty Linkage

Connect originators, beneficiaries, intermediaries, and other parties across fragmented transaction records.

Transaction Mapping

Link payments, counterparties, and trade relationships to expose patterns that individual alerts cannot show.

Contextual Risk Evaluation

Apply dynamic risk typologies to the entities and relationships in a network, not keywords in isolation.

Investigation-Ready Evidence

Every risk factor shows its risk level, confidence tAssemble the sources, relationships, and context investigators need to understand what matters and why.ier, the reasoning behind that confidence, and the source context that triggered it.

How it works

From isolated data to a connected risk picture.

01
01

Resolve the core entities

Identify and distinguish the people and organizations at the center of an alert using AI-native entity resolution.

Network diagram linking one entity to related people and companies several degrees out.
02
02

Expand the relevant network

Trace ownership, corporate affiliations, counterparties, and transactions across internal and external data.

Network diagram linking one entity to related people and companies several degrees out.
03
03

Apply dynamic risk typologies

Evaluate the network against contextual patterns of financial crime rather than static rules or keyword matches.

Network diagram linking one entity to related people and companies several degrees out.
04
04

Prioritize meaningful connections

Surface relationships by their relevance to the risk under review so incidental links do not overwhelm investigators.

Network diagram linking one entity to related people and companies several degrees out.
05
05

Deliver explainable evidence

Show the entities, relationships, sources, and reasoning behind each finding so investigators can document and defend conclusions.

Network diagram linking one entity to related people and companies several degrees out.

In the platform

Network intelligence is why the full picture emerges.

Graphyte brings relationships into KYC, sanctions compliance, transaction intelligence, and investigations. Teams can move from an isolated alert to the people, organizations, ownership structures, and activity around it, with the evidence needed to review risk efficiently and explain decisions.

See beyond the alert

Start investigations with relevant entities, relationships, and supporting evidence already connected, reducing manual research and helping teams focus on meaningful risk.

every solution one platform

Related Technologies

Entity Resolution

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Risk Typologies

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Network Intelligence

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Agentic Middleware

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Data Coverage

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Security

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Frequently asked questions

Network intelligence, answered.

What is network intelligence?

Network intelligence reveals and evaluates relationships among people, organizations, ownership structures, counterparties, transactions, and other entities. It helps investigators uncover risks that may not be visible when a customer, payment, or alert is reviewed alone.

How does network intelligence improve KYC?

It extends KYC beyond the information provided by a customer. By connecting beneficial owners, corporate affiliations, related parties, and external risk signals, network intelligence helps teams understand who is behind an entity, how it is connected, and whether those relationships change the customer's risk profile.

Why is understanding counterparty risk important in transaction intelligence?

A transaction can appear routine when viewed by itself. The counterparties, intermediaries, ownership links, and surrounding activity may tell a different story. Network intelligence adds that context so teams can prioritize activity connected to meaningful financial crime risk. It enriches and helps triage transaction alerts; it is not a replacement for a transaction monitoring system.

How does network intelligence accelerate investigations?

It automatically assembles relevant entities, relationships, and supporting sources that investigators would otherwise research across multiple systems. This gives teams a connected starting point, reduces repetitive evidence gathering, and makes it easier to move from an initial alert to a defensible conclusion.

How does network intelligence address obfuscation and shell companies?

It traces ownership, control, corporate affiliations, shared attributes, counterparties, and transaction paths across multiple layers. When direct ownership is hidden, those connections can reveal common controllers, intermediaries, or risk-bearing entities behind an apparently unrelated company.

See the science on your data.

Bring your hardest names — transliterated, common, deliberately obscured — and watch Graphyte resolve them.