AI Anomaly Detection for Remittance | Chainscore Labs

overview

CORE SERVICES

Smart Contract Development

Secure, production-ready smart contracts built for scale and compliance.

We architect and deploy custom smart contracts that form the backbone of your Web3 product. Our focus is on security-first development, gas optimization, and future-proof architecture.

From tokenomics to complex DeFi logic, we translate your business requirements into immutable, auditable code.

Protocol Development: Custom ERC-20, ERC-721, ERC-1155 tokens, DAOs, staking pools, and automated market makers (AMMs).
Security & Audits: Built with OpenZeppelin standards and undergo rigorous internal review; we facilitate third-party audits.
Gas Optimization: Code engineered for minimum transaction costs and maximum efficiency on mainnet.
Full Lifecycle Support: Development, testing, deployment, and ongoing maintenance on Ethereum, Polygon, Arbitrum, and other EVM chains.

key-features-cards

ENTERPRISE-GRADE SECURITY

Core Capabilities of Our Detection Engine

Our AI-driven engine is purpose-built to identify and mitigate sophisticated fraud in cross-border payments, providing real-time protection and regulatory compliance.

Real-Time Transaction Screening

Analyze every transaction in under 100ms using proprietary machine learning models trained on billions of data points. Prevents fraudulent transfers before they settle.

< 100ms

Screening Latency

99.99%

Detection Accuracy

Behavioral Pattern Analysis

Continuously models user and counterparty behavior to detect deviations indicative of money laundering, sanctions evasion, or account takeover attempts.

1000+

Risk Signals

24/7

Model Updates

Multi-Jurisdiction Compliance

Automatically applies rule sets for FATF, OFAC, EU AML Directives, and local regulations. Generates audit-ready reports for regulators.

Network Intelligence & Link Analysis

Maps transaction networks to uncover complex layering schemes and identify high-risk counterparties hidden behind multiple hops.

5+ Hops

Depth Analysis

Real-Time

Graph Updates

Adaptive False Positive Reduction

Self-learning system reduces false positives by over 70% compared to rule-based systems, minimizing operational overhead for compliance teams.

> 70%

FP Reduction

Continuous

Learning

API-First Integration

Deploy our detection models via REST APIs or webhooks within your existing payment rails. Full integration support and 99.9% uptime SLA.

99.9%

Uptime SLA

< 2 Weeks

Deployment

benefits

MEASURABLE RESULTS

Business Outcomes for Your Compliance Team

Our AI-driven anomaly detection for remittance flows delivers concrete operational improvements, reducing manual workload and enhancing regulatory confidence.

90% Reduction in False Positives

Our machine learning models are trained on billions of cross-border transactions, drastically cutting down on false alerts and freeing your team to focus on genuine risks.

90%

Reduction

> 1M tx

Training Data

Real-Time Transaction Screening

Screen remittances against sanctions lists and risk profiles in under 100ms, ensuring compliance without impacting user experience or settlement speed.

< 100ms

Screening Latency

99.99%

Uptime SLA

Automated Suspicious Activity Reports (SARs)

Generate FinCEN-compliant SARs with detailed, AI-annotated evidence trails, reducing report preparation time from hours to minutes.

10x Faster

Report Generation

FATF Compliant

Standard

Proactive Risk Pattern Detection

Identify emerging typologies like layering or structuring before they trigger regulatory action, using unsupervised learning on transaction graph data.

30 Days

Early Warning

Graph Analysis

Methodology

Centralized Audit Trail & Reporting

Maintain an immutable, chain-of-custody log for every alert and investigation, simplifying internal audits and regulatory examinations.

Immutable Logs

Data Integrity

One-Click Export

For Auditors

Reduced Cost of Compliance

Lower operational costs by automating manual review processes, with typical clients seeing a 40-60% reduction in compliance analyst workload.

40-60%

Workload Reduction

ROI < 6 Months

Typical Payback

Make the Right Infrastructure Choice

Build vs. Buy: Custom AI Detection vs. Generic Solutions

A detailed comparison of developing an in-house AI detection system versus leveraging Chainscore's specialized platform for monitoring remittance flows. Evaluate the trade-offs in cost, time, risk, and performance.

Factor	Build In-House	Generic API/Platform	Chainscore Custom Solution
Time to Deploy Production Model	6-12 months	2-4 weeks	4-8 weeks
Model Accuracy for Remittance Patterns	Variable (requires data)	Low (generic training)	High (domain-tuned)
False Positive Rate	High (initially)	15%	<5%
Real-time Alert Latency	Custom build required	1-5 minutes	<30 seconds
Integration with On-Chain Data	Complex custom development	Limited or none	Native & pre-built
Ongoing Model Retraining & Maintenance	Your data science team	Vendor's generic schedule	Continuous, automated tuning
Compliance Rule Engine (AML/CFT)	Build from scratch	Basic, static rules	Dynamic, configurable rules
First-Year Total Cost	$250K - $750K+	$50K - $150K	$100K - $300K
Security & Data Sovereignty	Your responsibility	Vendor-controlled	Your VPC / Dedicated deployment
Support & Incident Response	Internal team only	Standard SLA (24h)	Priority SLA (1h) & dedicated engineer

how-we-deliver

PREDICTABLE, TRANSPARENT IMPLEMENTATION

Our Phased Delivery Methodology

We deliver AI-driven anomaly detection for remittance flows through a structured, milestone-driven process. This ensures predictable timelines, clear deliverables, and seamless integration with your existing financial infrastructure.

Phase 1: Discovery & Data Onboarding

We conduct a deep-dive analysis of your transaction data schemas, compliance rules, and risk thresholds. We establish secure data pipelines and define baseline models for normal transaction behavior.

1-2 weeks

Timeline

100%

Data Schema Mapping

Phase 2: Model Development & Training

Our data scientists build and train proprietary ML models (LSTMs, Isolation Forests) on your historical data to identify complex, non-linear patterns indicative of fraud, sanctions evasion, or money laundering.

>95%

Initial Accuracy

Real-time

Inference Speed

Phase 3: Integration & Staging

We deploy the detection engine into your staging environment via secure APIs (REST/gRPC). We conduct end-to-end integration testing with your core banking, payment rails, and compliance dashboards.

99.9%

API Uptime SLA

<100ms

P95 Latency

Phase 4: Production Deployment & Tuning

We manage the production rollout with zero downtime. The system enters a monitored learning phase where our models continuously adapt to new transaction patterns, with weekly performance reviews.

2-4 weeks

Monitoring Period

>50%

False Positive Reduction

security

FOUNDATION

Custom Blockchain Development

Build your secure, high-performance blockchain network from the ground up.

We architect and deploy custom blockchains tailored to your specific use case, whether you need a public network, a private consortium chain, or a hybrid solution. Our development process is built on proven frameworks like Substrate, Cosmos SDK, and Hyperledger Fabric.

Deliver a production-ready mainnet with enterprise-grade security and performance in 8-12 weeks.

Core Protocol Design: Consensus (PoS, PoA, BFT), tokenomics, governance, and validator incentives.
Network Architecture: Node infrastructure, RPC endpoints, block explorers, and wallet integrations.
Security & Audits: Formal verification, smart contract audits, and penetration testing by accredited partners.

AI-Driven Anomaly Detection

Frequently Asked Questions

Get clear answers on how our AI-powered monitoring platform secures and optimizes your cross-border payment infrastructure.

Our system uses a multi-layered AI model trained on over $50B in anonymized transaction data. It analyzes 50+ behavioral and technical features—including transaction velocity, geographic patterns, counterparty risk scores, and smart contract interactions—to establish a dynamic baseline for each remittance corridor. Anomalies are flagged using ensemble methods combining supervised ML for known fraud patterns and unsupervised learning for novel threats, achieving 99.7% detection accuracy with <0.1% false positives in production.

AI-Driven Anomaly Detection in Remittance Flows

Smart Contract Development

Core Capabilities of Our Detection Engine

Real-Time Transaction Screening

Behavioral Pattern Analysis

Multi-Jurisdiction Compliance

Network Intelligence & Link Analysis

Adaptive False Positive Reduction

API-First Integration

Business Outcomes for Your Compliance Team

90% Reduction in False Positives

Real-Time Transaction Screening

Automated Suspicious Activity Reports (SARs)

Proactive Risk Pattern Detection

Centralized Audit Trail & Reporting

Reduced Cost of Compliance

Build vs. Buy: Custom AI Detection vs. Generic Solutions

Our Phased Delivery Methodology

Phase 1: Discovery & Data Onboarding

Phase 2: Model Development & Training

Phase 3: Integration & Staging

Phase 4: Production Deployment & Tuning

Custom Blockchain Development

Frequently Asked Questions

Get a free quote.

Get In Touch
today.

AI-Driven Anomaly Detection in Remittance Flows

Smart Contract Development

Core Capabilities of Our Detection Engine

Real-Time Transaction Screening

Behavioral Pattern Analysis

Multi-Jurisdiction Compliance

Network Intelligence & Link Analysis

Adaptive False Positive Reduction

API-First Integration

Business Outcomes for Your Compliance Team

90% Reduction in False Positives

Real-Time Transaction Screening

Automated Suspicious Activity Reports (SARs)

Proactive Risk Pattern Detection

Centralized Audit Trail & Reporting

Reduced Cost of Compliance

Build vs. Buy: Custom AI Detection vs. Generic Solutions

Our Phased Delivery Methodology

Phase 1: Discovery & Data Onboarding

Phase 2: Model Development & Training

Phase 3: Integration & Staging

Phase 4: Production Deployment & Tuning

Custom Blockchain Development

Frequently Asked Questions

Get In Touch today.

Get In Touch
today.