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A Dataloop product

Alerts tell you what happened. The network tells you who is behind it.

LoopTrace correlates customers, accounts, addresses, phone numbers and transactions into a single navigable graph — so an isolated alert becomes the full structure that explains it.

Red de vínculos7 nodos4 flujos
D. Ortiz···4471···8802···1195···6350L. Morales···2019
ClienteCuenta internaCuenta otro bancoEnvíaRecibe

Triangulation detected · 3 pass-through accounts

Mexican regulatory scope

CNBVUIFLFPIORPIGAFICONSAR

Built for the reporting, identification and risk-based-approach obligations of the Mexican financial ecosystem.

The problem

An isolated alert is not an investigation.

Transaction monitoring systems deliver alerts per operation. But money laundering does not happen in one operation: it happens across a structure of people, accounts and addresses coordinated to look unrelated.

The link lives outside the alert

Two seemingly unrelated customers share an address or a phone number. No transactional alert reveals that on its own.

Reconstruction is manual

The analyst jumps between queries, spreadsheets and files to assemble by hand what should be visible immediately.

What you cannot see, you cannot report

If the structure is never documented, the finding rests on a single operation instead of the network that produced it.

Capabilities

Six modules, one case file

From entity exploration to the regulatory report, without leaving the platform or losing the trail of what the analyst did.

Module 1

Link analysis

The graph is the core of the product. Pick a customer, an account, a phone number or an address and LoopTrace expands its network: who sends money, who receives it, through which counterparties and which pass-through accounts.

  • Configurable trace depth by number of hops
  • Visual distinction between internal and third-bank accounts
  • Flow direction: money out, money in
  • Non-transactional links — ownership, address, phone, alert
  • Automatic highlighting of triangulation and pass-through accounts

Product screen · synthetic data

Red de vínculos7 nodos4 flujos
D. Ortiz···4471···8802···1195···6350L. Morales···2019
ClienteCuenta internaCuenta otro bancoEnvíaRecibe

Module 2

Alert investigation

The analyst's starting point. Alerts arrive prioritized and with full economic context, with filters by amount, date, typology, currency, nature and entity — and a direct jump from the case to its network.

  • Prioritization by amount, recency or a combination of both
  • Distinction between individual and cumulative alerts
  • Compound filters with chips and state visible on screen
  • Graphic breakdown by typology, entity and account concentration
  • One click from the alert to the graph that explains it

Product screen · synthetic data

Alert investigationSorted by: highest amount
Total alerts1,284
Amount flagged$41.6M
Individual902
Cumulative382
AlertEntityTypologyAmount
AL-24817Comercial Alfa S.A.Structuring$4.82M
AL-24806D. Ortiz TorresPass-through$2.14M
AL-24791Servicios Delta SPRTriangulation$1.36M
AL-24770L. Morales MendozaCash deposits$680K
AL-24752Inversiones Norte SAUnusual pattern$312K

Module 3

Entity catalogue

Cross-cutting search over the whole data universe. Customers, accounts, phone numbers and addresses in a single index, with multi-term search and a direct jump to the network of any result.

  • Eight data sources correlated into a single index
  • Search by name, RFC, CURP, account, phone or address
  • Facets by entity type and status
  • Table or card view, depending on the task
  • Virtualized rendering — volume does not degrade response

Product screen · synthetic data

Entity catalogue4,812 entities
AllCustomerAccountPhoneAddress
Diana Ortiz TorresCustomerCLI-300004RFC ORTD8410…View network →
2000000001Account···0001InternalView network →
Comercial Alfa S.A. de C.V.CustomerCLI-300021Legal entityView network →
55 1842 ····PhoneTEL-884103 holdersView network →
Av. Insurgentes Sur 1··· AddressDOM-119274 customersView network →

Module 4

Customer risk rating

Risk matrices that turn the risk-based approach into a reproducible rating. Risk level stops being the analyst's individual judgement and becomes the documented output of a methodology.

  • Risk matrices configurable by factor and weight
  • Per-customer rating with its contribution breakdown
  • Re-evaluation on profile or behaviour changes
  • Auditable criteria: same input, same rating

Capability shown as a diagram, not a screenshot

Conceptual diagram
Risk matrix
Very high
High
Medium
Low
Very low
Impact →
Weighted factors
Geography25%
Activity30%
Products20%
Transactionality25%
Resulting ratingHigh

Module 5

Watchlist matching

A matching process against control lists. Screening stops being a manual lookup by name and becomes a systematic step of the identification process.

  • Match search against control lists
  • Similarity-based evaluation, not only exact matching
  • Result attached to the entity's case file
  • A record of every screening performed

Capability shown as a diagram, not a screenshot

Conceptual diagram
Watchlist matching
EntitySimilarity matchCase file
ORTIZ TORRES, DIANA96%Review
ORTIS TORRES, DIANA E.88%Review
ORTIZ TORRERO, D.71%Discard

Every screening performed is recorded against the entity.

Module 6

Regulatory reports

Five regulatory report layouts and the alert layouts that feed them. The report is generated from the same case file where the investigation happened, without re-entering data into a separate sheet.

  • Five regulatory report layouts
  • Regulatory alert layouts as report input
  • Generated from the investigated case file, no double entry
  • Traceability from report to alert to the network behind it

Capability shown as a diagram, not a screenshot

Conceptual diagram
Report layouts5 layouts
01Unusual operations
02Relevant operations
03Concerning operations
04Internal operations
05Cash operations
ReportAlertNetworktraceable

Architecture

Two responsibilities, explicit boundaries

An institutional buyer asks what each component does and who answers for it. That answer is separated by design.

LoopTrace

Dataloop product

The Mexican compliance logic, the link model, the typologies, the report layouts and the analyst experience. This is the product the user operates.

SAS Viya

Analytical substrate

The data and compute engine the platform runs on. It provides scale, processing and enterprise-grade analytical infrastructure.

For every team

One platform, different questions

Compliance

Can I defend the finding?

The case file shows the whole network, not a loose operation. The report is generated from there.

Risk

How do I rate this customer?

Risk matrices with per-factor breakdown. Same input, same rating, documented criteria.

Technology

What does it run on?

It runs on SAS Viya, with data sources already correlated and no third-party dependencies in the front end.

Information security

What does the application expose?

An interface hardened against style injection, with no sensitive local state and session delegated to the platform.

Audit

Can I reconstruct what the analyst did?

Every watchlist screening is recorded and every report is traceable to the alert and the network behind it.

FAQ

What technical teams ask

Does LoopTrace replace the transaction monitoring system?

Not necessarily. LoopTrace consumes alerts and transactions, and its value is correlating them into an investigation with a case file and a report. It can run alongside an existing monitor or receive the alerts the institution already generates.

What data does it need?

The eight sources it already correlates: customers, addresses, phone numbers, internal accounts, external accounts, transactions, alerted transactions and alerts. The link model is built from them.

How are regulatory changes handled?

The Mexican framework is being rewritten: the July 2025 decree reforming LFPIORPI requires the general rules to be updated, and the regulation was amended in March 2026. Layouts and matrices are configurable precisely to absorb that movement without rebuilding the platform.

Where is it deployed?

On the institution's SAS Viya platform. Let's discuss your specific environment and available sources.

Is the data shown in the demo real?

No. Every public demonstration uses synthetic data generated for that purpose.

Next step

Let's see it with your own data.

A working session with your compliance team: we start from a real alert in your operation and reconstruct its full network.

Book a session