NeuroAML
Detect financial crime faster with AI-driven AML intelligence
AI-powered anti-money laundering system that automates suspicious activity detection, risk scoring, and regulatory compliance workflows.
Trusted By Leading Organisations
NeuroAML is Neural AI’s specialised anti-money laundering platform, purpose-built for Malta’s financial services sector and designed to meet the stringent requirements of the FIAU, MFSA, and EU anti-money laundering directives. It combines machine learning with rules-based detection to identify suspicious activity that traditional systems miss. NeuroAML is a core component of NeuroStack for AML & compliance and financial services deployments.
Intelligent Transaction Monitoring
Traditional AML systems generate overwhelming numbers of false-positive alerts, burying compliance teams in noise. NeuroAML uses machine learning models trained on historical investigation outcomes to score alerts by genuine risk. Compliance officers focus their attention on the cases that matter, while low-risk alerts are automatically documented and filed. NeuroIntelligence provides the reasoning engine that explains why each alert was flagged, giving investigators actionable context rather than raw data.
Customer Risk Scoring
NeuroAML builds comprehensive risk profiles by analysing customer behaviour patterns, transaction histories, beneficial ownership structures, and external data sources. Dynamic risk scores update in real time as new information arrives, ensuring that escalating risks are flagged promptly rather than discovered during periodic reviews. NeuroCompare tracks changes in customer profiles and submission patterns over time, identifying shifts that may indicate emerging risk.
Regulatory Reporting
The system automates the generation of suspicious activity reports, compliance summaries, and regulatory filings. Reports are formatted to meet FIAU requirements and include the evidence trail that regulators expect, reducing the manual effort of compliance documentation by up to 80%. NeuroSummarisation condenses investigation findings into clear, well-structured reports that compliance officers can review and submit efficiently.
Deployed at the ARB
NeuroAML powers the Arbiter for Financial Services’ AML monitoring capabilities, processing transactions and documents in both English and Maltese. Combined with NeuroMaltese for language processing, NeuroDocument for document analysis, and NeuroSheets for spreadsheet-based compliance workflows, it provides a comprehensive compliance intelligence platform. The system also integrates with the ARB’s document processing pipeline for end-to-end regulatory document handling. For iGaming operators, NeuroAML monitors player transactions and betting patterns for suspicious activity in Malta’s licensed gaming sector.
Deploy NeuroAML in Your Organisation
Neural AI's NeuroAML accelerates delivery, reduces cost, and integrates seamlessly with your existing systems. Let's discuss how it fits your workflow.
Schedule a Consultation →Cost Reduction
Availability
Response Time
Scale Capacity
Key Features
Intelligent Transaction Monitoring
NeuroAML uses machine learning models trained on historical investigation outcomes to score alerts by genuine risk, dramatically reducing false positives. Compliance officers focus their attention on cases that matter while low-risk alerts are automatically documented and filed with full justification trails.
Dynamic Customer Risk Scoring
Comprehensive risk profiles analyse customer behaviour patterns, transaction histories, beneficial ownership structures, and external data sources. Dynamic risk scores update in real time as new information arrives, ensuring escalating risks are flagged promptly rather than discovered during periodic reviews.
Automated Regulatory Reporting
The system automates generation of suspicious activity reports, compliance summaries, and regulatory filings formatted to meet FIAU requirements. Reports include the evidence trail that regulators expect, reducing manual compliance documentation effort by up to 80% while improving report quality and consistency.
Sanctions & PEP Screening
NeuroAML screens customers and transactions against global sanctions lists, politically exposed person databases, and adverse media sources in real time. Fuzzy matching handles name variations, transliterations, and spelling differences that cause exact-match screening to miss genuine hits.
How NeuroAML Works
NeuroAML connects to your core banking systems, transaction databases, and customer records through secure APIs. Historical transaction data is ingested for model training while real-time feeds enable continuous monitoring.
Machine learning models analyse transactions against learned patterns of suspicious behaviour, rules-based scenarios, and peer group comparisons. The system identifies anomalies that traditional threshold-based monitoring misses.
Detected anomalies are scored by risk severity combining multiple signals — transaction patterns, customer risk profile, geographic risk, and contextual factors. High-risk alerts are prioritised for immediate review.
Compliance officers receive enriched alert packages with transaction timelines, customer profiles, relationship maps, and supporting evidence. NeuroIntelligence provides reasoning summaries that explain why each alert was generated.
Investigation outcomes feed back into the model for continuous improvement. Regulatory reports are generated automatically from investigation data with full audit trails meeting FIAU, MFSA, and EU directive requirements.
01
Data Integration
Step 1 of 5
Use Cases
Automate suspicious transaction detection and alert generation
Score customer risk profiles using behavioural and transactional data
Generate regulatory reports and suspicious activity reports (SARs) automatically
Screen customers and transactions against sanctions and PEP lists
Industry Applications
See how this solution transforms operations across different sectors.
- • Comprehensive AML monitoring, risk scoring, and regulatory reporting platform purpose-built for Malta's financial regulatory environment, reducing false positives and accelerating investigations
- • Automates transaction monitoring, customer risk assessment, and suspicious activity reporting for banks and financial institutions, meeting FIAU and MFSA requirements
- • Monitors player transactions and betting patterns for AML compliance in Malta's licensed iGaming sector, detecting suspicious activity and generating regulatory reports
- • AI-driven policy analysis, citizen sentiment monitoring, and resource allocation optimisation for government agencies
- • Property valuation models, market trend prediction, and tenant risk assessment using AI and historical data
- • Demand forecasting, dynamic pricing, and personalised guest experience systems for hotels and tourism operators
- • Customer segmentation, demand forecasting, and inventory optimisation powered by machine learning algorithms
- • Adaptive learning platforms, student performance prediction, and curriculum optimisation through AI analysis
- • Network optimisation, churn prediction, and usage pattern analysis for telecoms operators
- • Predictive maintenance, quality control automation, and production line optimisation using AI
- • Claims prediction, risk assessment automation, and fraud detection models for insurance providers
- • Clinical decision support, drug discovery acceleration, and patient outcome prediction models
- • Generative design optimisation, structural analysis, and project cost estimation using AI
- • Rapid ML prototyping and model development that gives startups a data-driven competitive advantage
- • Route optimisation, demand forecasting, and warehouse automation powered by machine learning
- • Contract analysis, case outcome prediction, and legal research automation using NLP and ML
- • Threat detection, anomaly identification, and security incident prediction using AI models
Proven Results
ARB - AML Compliance System
An AML system that identifies detailed bank statement entries and flags suspicious transactions using AI-powered document analysis, automated risk scoring, and compliance reporting.
Our AI and Machine Learning Tech Stack
Technologies
Python 
PostgreSQL 
Apache Kafka 
Docker 
AWS 
Scikit-learn 
TensorFlow Solutions Powered by NeuroAML
Our Build AI services that leverage NeuroAML to deliver end-to-end solutions.
NeuroAML FAQ
How does NeuroAML reduce false positives?
NeuroAML uses machine learning models trained on historical investigation outcomes to learn which alert patterns represent genuine risk versus noise. This typically reduces false positive rates by 60-80% compared to traditional rules-based AML systems, freeing compliance teams to focus on genuine threats.
Does NeuroAML comply with Malta's AML regulations?
Yes, NeuroAML is designed specifically for Malta's regulatory environment, meeting requirements from the FIAU, MFSA, and EU Anti-Money Laundering Directives. Report formats, data retention, and audit trails are built to satisfy regulatory examinations.
Can NeuroAML process documents in Maltese?
Yes, through integration with NeuroMaltese and NeuroDocument, NeuroAML processes Maltese-language documents including bank statements, regulatory filings, and customer correspondence alongside English-language materials.
How long does NeuroAML deployment take?
Initial deployment with core transaction monitoring typically takes 8-12 weeks including data integration, model training on historical data, and compliance team training. Full-feature deployment with custom risk models may extend to 16 weeks.
Can NeuroAML integrate with existing compliance platforms?
Yes, NeuroAML integrates with existing case management systems, regulatory reporting platforms, and compliance workflows. It can augment rather than replace existing AML infrastructure.
What types of financial institutions does NeuroAML serve?
NeuroAML serves banks, payment processors, iGaming operators, insurance companies, investment firms, and any entity with AML compliance obligations in Malta or the EU.
Start Your AI Journey
Contact Us
Reach out through our form or book a call to discuss your AI needs.
Get a Consultation
Our AI experts analyse your requirements and identify the best approach.
Receive a Proposal
We deliver a detailed proposal with timeline, deliverables, and investment.
Project Kickoff
We assemble your team and begin building your AI solution.
Contact Us
Reach out through our form or book a call to discuss your AI needs.
Get a Consultation
Our AI experts analyse your requirements and identify the best approach.
Receive a Proposal
We deliver a detailed proposal with timeline, deliverables, and investment.
Project Kickoff
We assemble your team and begin building your AI solution.
Ready to Deploy NeuroAML?
Book a free consultation with our team to discuss how NeuroAML can be integrated into your business workflows.
