Unlock the power of financial crime intelligence
Real-time transaction monitoring, case management, and AI-powered investigation that cut alert noise — so your team spends its time on real threats, not phantom signals.
0
+4.2%
0
12 urgent
0
sanctions
Acme Imports Ltd
tx_8f39a · $12,400
Quintex Holding
tx_2d11b · $47,200
J. Okafor
tx_5c77e · $3,150
Vortex Trading Co
tx_9b02c · $28,900
Entity path — tx_2d11b
Linked to a sanctioned mixer via one intermediary.
Scoring decision
142ms
False positives
-92%
Built for compliance teams across banking, payments & digital assets
Currently in pilot deployments with compliance teams across banking, payments, and digital assets. Metrics above are measured on controlled pilot data — see the disclaimer below.
Plugs into the systems your data already lives in
Pre-built connectors for core banking, payment rails, chain-analysis providers, and your data warehouse — or stream in over REST, batch, and Kafka.
The AML platform compliance teams actually want to use
Built for the speed, precision, and auditability that modern financial institutions demand.
92% Fewer False Positives
Graph-based entity analysis suppresses noise from rules-based alerts. Your team reviews threats, not phantom signals.
5x Faster Investigations
AI pre-builds case packages with entity graphs, fund flow timelines, and narrative summaries. Analysts verify, not assemble.
Full Explainability
Every alert, score, and recommendation includes human-readable reasoning. Regulators see the logic, not a black box.
Sub-250ms Decisions
Real-time scoring that fits inside authorization windows. No batch delays. No overnight processing gaps.
Deploy Anywhere
Cloud, private cloud, or fully on-premises with air-gapped installation. Your data stays inside your perimeter.
Audit-Ready by Default
Immutable logs for every action. Role-based access. Tenant isolation. Built for the audit that is already on your calendar.
From transaction to decision in four steps
Ingest
Connect your core banking, payment gateway, or ledger via API, batch, or pre-built connectors.
Analyze
Graph models and ML pipelines evaluate transactions against entity history and risk typologies.
Investigate
High-confidence alerts surface with evidence packages. Analysts review graphs and AI narratives.
Report
File regulatory reports from the case. Full audit trail from transaction to final decision.
One pipeline, transaction to filed report
Every payment streams through the same auditable path — scored in real time, enriched with graph context, and handed to analysts as a ready-to-work case.
Ingest
API · batch · Kafka
01Normalize
entity resolution
02ML Score
≤250ms p95
03Graph Analyze
5+ hops
04Case
SLA + audit
05Report
STR / SAR
06The laundering patterns rules engines miss
Graph and ML models reason over entity relationships — catching the typologies that single-transaction rules can't see.
Structuring & smurfing
Many sub-threshold deposits funnelled into one account to dodge reporting limits.
Layering
Funds moved through chains of accounts and instruments to break the audit trail.
Mixers & tumblers
On-chain value scrambled through pooling services to obscure its origin.
Sanctions evasion
Exposure to sanctioned entities surfaced through multi-hop counterparty links.
Money mules
Fan-out distribution across recruited accounts to disperse and cash out funds.
Round-tripping
Circular flows that return value to its source to fabricate legitimate activity.
Everything compliance needs. Nothing it doesn't.
Graph Investigation Suite
Multi-hop entity analysis
Visualize entity networks across 5+ hops. Trace fund flows between accounts, identify hidden beneficial owners, and document investigative findings — all within a single interface built for compliance workflows.
AI Decision Engine
Model-generated case summaries and risk narratives with full explainability. Analysts review and approve.
"Entity linked to 3 accounts flagged for structuring. Total flow: $47.2K across 12 transactions over 48 hours."
Case Management
From alert triage to SAR filing. Assignment rules, SLA enforcement, collaboration, and full audit logging.
Transaction Monitoring
Real-time and batch monitoring with configurable rules and ML models operating in parallel.
Alert Triage
AI-scored alert ranking. Bulk-dismiss low-confidence alerts with auditable justification.
Regulatory Reporting
STR/SAR reports with pre-populated narratives. Export in regulator-required formats.
Built for how laundering actually works
Rules engines fire on single transactions. Solomon reasons over the whole network — and shows its work.
Legacy rules-based monitoring
Yesterday's compliance stack
Alert volume
Floods of low-value alerts
False positives
Analysts drown in noise
Explainability
Opaque black-box scores
Investigation
Manual, tool-hopping
Typology coverage
Single-transaction rules
Decision latency
Overnight batch runs
Deployment
Vendor cloud only
Solomon
Graph + ML + explainable AI
Alert volume
92% fewer, ranked by risk
False positives
Graph-suppressed at the source
Explainability
Human-readable evidence trail
Investigation
AI-assembled case packages
Typology coverage
Multi-hop graph + ML
Decision latency
≤250ms, real time
Deployment
Cloud or air-gapped on-prem
Purpose-built for regulated institutions
Banks
Replace or augment legacy monitoring. On-premises deployment. Core banking connectors. Regulatory export formats.
PSPs & Neobanks
High-volume, low-latency monitoring. API-first architecture handles spikes without degrading scoring quality.
Digital Assets
On-chain and off-chain monitoring. Multi-hop wallet tracing, mixer detection, and sanctions screening.
“The alert queue went from something we triaged all week to something we clear before lunch. The graph view alone replaced three internal tools.”
Bank-grade security. Zero compromises.
Every component is designed for auditability, data isolation, and regulatory readiness.
SOC 2 Type II
Controls aligned
ISO 27001
ISMS framework
GDPR Ready
Data residency
Multi-Tenant
Full isolation
SSO / SAML
Enterprise IAM
Full Audit Trail
Every login, review, update, and report is immutably logged with timestamps and user attribution.
On-Premises Deployment
Kubernetes-native. Air-gapped installation supported. Your data never leaves your infrastructure perimeter.
Role-Based Access
Granular permissions by role, team, and data scope. Analysts access only what they are authorized to see.
Transparency & Legal
Solomon AML Systems Inc. operates under strict data processing agreements. All performance metrics referenced on this page are based on controlled pilot deployment data and may vary by implementation. Solomon does not provide legal or regulatory advice.
Common questions
Ready to see Solomon in action?
Schedule a technical walkthrough. We will show you the platform against your transaction typologies — no generic demo, no slides.
Or email sales@solomon-aml.com to schedule directly.