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Graph Intelligence Entity resolution

Risk hides in the connections.

Graph Intelligence resolves customers, businesses, transactions and risk events into one connected network — surfacing hidden ownership, shared-attribute fraud rings and laundering chains that row-by-row screening can't see.

Trusted by 500+ institutions across 180 jurisdictions
FAB NETS MSIG Moomoo Syfe GLDB
360°
Entity resolution
Aliases, shared attributes and counterparties fuzzy-matched into a single node — one customer, one truth, across every system.
3+ hops
Network traversal
Surface indirect exposure several relationships deep — a clean customer one step from a sanctioned entity no longer slips through.
Real-time
Graph re-scoring
The network re-scores as new transactions, links and risk events land — not in a nightly batch.
Knowledge Graph

Three graphs. One intelligence layer.

WIDTH builds three knowledge graphs — the underlying data structure behind multiple compliance use cases.

Fraud · ATO

Identity Graph

Nodes
Accounts, devices, phone numbers, emails, IP addresses, facial features, physical addresses
Edges
Usage (device ↔ account), registration (phone ↔ account), matching (face ↔ face)
Use case
Multi-account detection and account-takeover (ATO) detection
AML · Behavioural

Transaction Graph

Nodes
Accounts, transactions
Edges
Fund flows, carrying amount and timestamp
Use case
AML transaction monitoring — surfacing layering, round-tripping, and fan-in / fan-out
KYB · Ownership

CRP Graph

Nodes
Companies, individuals (directors, shareholders, UBOs)
Edges
Shareholding, officership, and control relationships
Use case
KYB due diligence — the CRP Collector Action node pulls company-registry data to build the graph
Recognised by the Industry*
Chartis FCC50 2026 RegTech100 Singapore Top Fintech 2026 Regulatory Leader 2025 ALB Pan Asian 2025 Fintech Frontiers 50 Chartis FCC50 2025 Top 10 Singapore Fastest-Growing 2020 Top 50 High-Growth Asia-Pacific 2020 MAS FinTech Awards
* In collaboration with Cynopsis Solutions
FAQ

Common questions about Graph Intelligence

What is Graph Intelligence, and how is it different from rules-based screening?
Rules and lists score one customer or transaction at a time. Graph Intelligence scores the relationships between them — connecting identities, ownership, devices and money flows into a network so risk that only appears across entities becomes visible.
What data feeds the graph?
KYC and KYB records, transaction flows, device and session signals, sanctions / PEP and adverse-media hits, and case outcomes — all resolved onto a shared identity envelope. No separate data project; it draws on what WIDTH already holds.
How does it surface hidden beneficial ownership and shell networks?
By traversing ownership and control links across companies and individuals, the graph reconstructs UBO structures — including layered and circular holdings — and flags networks that concentrate risk even when each entity looks clean in isolation.
Is the graph explainable and auditable?
Yes. Every node and edge carries its source and confidence, and every network-level flag replays the exact path that produced it — signed and audit-stamped, aligned with MAS, IMDA and EU AI Act expectations.
Does it run in real time or batch?
Real time. The graph updates and re-scores as new transactions, links and risk events arrive, so investigators always see the current network — not last night's snapshot.

See the whole network.

30-minute call. Bring a known case and we'll show the relationships, the hidden links, and the audit trail behind every network flag.

Book a Demo → See the Platform