We build AI-powered anti-money laundering software that catches real threats, reduces false positives, and keeps your institution compliant with FATF, FinCEN, and global AML regulations. From transaction monitoring to sanctions screening, every module is built around your risk profile and operational needs.
OWASP
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Every financial institution faces different compliance challenges when adopting AI-powered AML solutions. We develop tailored AML software that fits your specific regulatory environment, transaction volumes, and risk appetite. Our solutions go beyond checkbox compliance to give your compliance team the tools they actually need.
End-to-end AML platforms built for your compliance workflows. We develop systems that handle customer onboarding checks, ongoing transaction monitoring, suspicious activity reporting, and regulatory filing, all within a single, unified interface that your compliance officers can navigate without technical training.
Regulatory technology platforms that simplify compliance operations through regulatory compliance automation and reduce manual workload. Our RegTech solutions automate routine compliance tasks, keep pace with regulatory updates, and generate audit-ready reports so your team can focus on genuine risk assessment instead of paperwork.
We build fraud detection software development systems that identify unusual activity patterns faster, reduce unnecessary alerts, and help financial teams respond with confidence. Our fraud detection modules use behavioral analytics and pattern recognition to distinguish real threats from routine transactions.
Purpose-built AML solutions with blockchain AML analytics for crypto exchanges, DeFi platforms, and Web3 ecosystems. Our software includes wallet monitoring, blockchain transaction analytics, VASP compliance modules, and travel rule support to meet evolving digital asset regulations.
Talk to our AML architects about your regulatory requirements, integration needs, and timeline. We will map out a solution strategy tailored to your compliance environment.
Get a Free AML Architecture Review
Core banking AML integration with real-time monitoring across deposits, wire transfers, and correspondent banking channels. Our solutions support BSA/AML reporting, CTR filing, and SAR workflow automation.
Lightweight, API-first AML modules that integrate with your fintech app development stack without slowing down user onboarding or payment processing. Designed for high-volume, low-latency environments.
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AML checks embedded into the loan origination workflow. Our solutions screen borrowers, monitor ongoing transactions, and generate compliance documentation for regulatory examinations.
Claims-level fraud detection combined with AML screening. We build systems that flag suspicious claim patterns while maintaining compliance with industry-specific anti-fraud and AML mandates.
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On-chain and off-chain transaction monitoring, wallet risk scoring, and sanctions screening designed specifically for the speed and complexity of cryptocurrency transactions.
Continuous surveillance of every transaction across all channels. Our monitoring engine evaluates transaction velocity, amount thresholds, geographic risk, counterparty history, and behavioral deviations in real time. When the system detects a pattern that matches known typologies or triggers custom rules, it generates an alert with full context so compliance analysts can make faster decisions.
Machine learning models trained on historical transaction data and regulatory typologies assign dynamic real-time risk scoring to customers and transactions. Unlike static rule-based systems, our models adapt as customer behavior evolves, reducing unnecessary reviews while ensuring truly suspicious activity gets flagged. Every score is explainable for audit purposes.
Automated screening against global watchlists including OFAC SDN, UN Sanctions, EU Consolidated List, and country-specific PEP databases. Our screening engine uses fuzzy matching and transliteration algorithms to catch name variations and reduce both false negatives and false positives. Screening runs at onboarding, on an ongoing basis, and at the point of transaction.
Deep learning models identify unusual behavior that rules alone would miss. Our system detects layering, structuring, round-tripping, and other complex laundering patterns by analyzing transaction networks, timing patterns, and entity relationships. The models learn continuously from analyst feedback, improving detection accuracy over time.
Smart alert tuning algorithms learn from analyst decisions to suppress recurring false positives without weakening detection thresholds. Compliance teams spend less time reviewing noise and more time investigating real risks. Our clients typically see a 40-60% reduction in false positive alerts within the first quarter of deployment.
Natural language processing extracts critical information from unstructured documents, including customer correspondence, onboarding forms, corporate filings, and adverse media. Automated document classification and entity extraction speed up enhanced due diligence and reduce turnaround time for compliance reviews.
We start by understanding your regulatory obligations, current compliance gaps, transaction volumes, and risk appetite. This phase includes stakeholder interviews, compliance workflow mapping, and a detailed requirements document that defines what the software must do and which regulations it must satisfy.
Our architects design the system structure, data flow, and integration points. Meanwhile, our UX team creates compliance dashboards and investigation workflows that your team can use without specialized training. We present wireframes and architecture diagrams for your review before development begins.
Development proceeds in sprints with compliance validation at every checkpoint. We build each module (monitoring, screening, scoring, reporting) incrementally, testing against regulatory requirements, sample transaction data, and edge cases. Each sprint produces a working, testable increment.
We deploy the system in your environment (cloud, on-premise, or hybrid), train your compliance team, and provide documentation for every module. Post-launch, we offer ongoing support including AI model retraining, regulatory update integration, and system performance optimization.
AML software processes some of the most sensitive data in your organization. We treat security as a core requirement, not an add-on:
All data encrypted at rest (AES-256) and in transit (TLS 1.3)
Role-based access control with multi-factor authentication for all compliance users
Comprehensive audit trails for every action, query, and alert disposition
Regular penetration testing and vulnerability assessments throughout the development lifecycle
Full GDPR and data residency compliance, including data anonymization capabilities
NDA-protected engagements with strict IP ownership terms
The cost of developing anti-money-laundering or AML software typically ranges from $30,000 to $300,000+, depending on complexity, automation level, integrations, and regulatory requirements. <br><br>Share your project requirements, and we'll provide a precise, personalized estimate tailored to your compliance needs.</br></br>
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Our team has built compliance platforms, trading systems, and regulatory reporting tools for banks, FinTechs, and lending platforms across multiple markets. We understand the difference between a software project and a financial software project, and we build accordingly.
We do not bolt compliance onto finished software. Every architectural decision, data model, and workflow is designed with risk and compliance solutions in mind from day one. This eliminates costly rework and ensures your system is audit-ready at launch.
Our AI in fraud detection models do not stay static. They learn from analyst feedback, adapt to new typologies, and continuously refine their accuracy. The result is a system that gets better at catching real threats while generating fewer false alerts.
We provide detailed project estimates with milestone-based billing. You see exactly what you are paying for at each stage, and you review working software at every sprint. No hidden costs, no scope surprises.
Their agile way of working, competence, and friendliness are impressive.December 7, 2024
Citrusbug Technolabs handles a data extraction project for an education company. They're also responsible for managing an AI generation project for the client.
Citrusbug Technolabs has laid out and followed a clear project outline and consistently met deadlines. The team communicates well and demonstrates a strong understanding of the client's vision and goals. Their agile approach, high level of competence, and personable approach stand out.
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Their communication and ability to capture exactly what I was asking for were impressive.November 14, 2024
Citrusbug Technolabs built an automated system for a veteran medical company. The system needed to collect and store user data, generate customized letters based on surveys, and use AI to summarize reviews.
Citrusbug Technolabs delivered a functional automated system that successfully organized the client's records and auto-generated statements. The team was quick to respond, addressed all roadblocks, and communicated effectively. Overall, their ability to understand the client's needs stood out.
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They were very calm and talented, and they did bring some of their own ideas.January 28, 2025
Citrusbug Technolabs has developed an MVP for a freight and capacity marketplace. The team has created three different interfaces for three market segments.
Citrusbug Technolabs has successfully developed an effective MVP. The team has delivered the project on time and almost within budget. Moreover, their responses have been timely. Overall, the team has been calm, talented, and innovative. This has led to the client's satisfaction.
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What stood out most about them was their personalized approach and sense of ownership in every aspect of the project."February 27, 2024
Citrusbug Technolabs built a Flutter cross-platform mobile app for an education company. They also developed two web apps and an admin panel and provided DevOps support for the client's infrastructure.
Citrusbug Technolabs' support successfully boosted the client's user engagement by 8x, resulting in an 85% retention rate. The reliable team demonstrated a dedication to delivering on time and promptly responding to concerns and adjustments. Their personalized, client-centric approach stood out.
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They didn't like the phrase "impossible to do", which made them very solution-oriented.February 19, 2024
A healthcare company hired Citrusbug Technolabs to design and develop a user-friendly application. The team provided tailored assistance to meet the client's requirements.
Citrusbug Technolabs successfully delivered an application that was ready for market. The team was highly professional and well-organized; they stayed focused throughout the engagement and were receptive to changes. Overall, they stood out for their trustworthiness and commitment to excellence.
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They're 100% on time and transparent throughout each stage of the project.February 24, 2024
A financial technology company has hired Citrusbug Technolabs to build a custom web application. The team handles the development and design of the app.
The project is ongoing, but the client has been satisfied with Citrusbug Technolabs' services. The team is very professional — they always respect timelines and provide regular updates to ensure everyone's on the same page. Also, their transparent approach makes them a trustworthy partner.
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"I do believe they are exceptional at where they stand."
Citrusbug Technolabs took on a mobile app development project for a Singapore-based development house. They were provided with UX designs to execute. Currently, they're finalizing and fine-tuning the product.
Citrusbug Technolabs contributed to the successful launch of the product, which has garnered over 10,000 users in just three months. The product has also received support from investors. They consistently followed-up with their progress and delivered at a speedy rate. The team is truly stellar.
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Read Article →Custom AML software development is the process of building tailored anti-money laundering systems for financial institutions. Unlike off-the-shelf tools, custom AML software is designed around your specific transaction types, compliance requirements, risk models, and internal workflows. This means fewer false positives, smoother integration with your existing systems, and a compliance posture that fits your actual regulatory obligations.
Off-the-shelf AML platforms offer standardized rule sets and monitoring templates. Custom-built AML software lets you define your own risk parameters, build workflows that match your team's processes, integrate directly with your core banking or payment infrastructure, and train AI models on your specific transaction data. The result is higher detection accuracy and lower operational overhead.
Our AML solutions are built to support FATF Recommendations, FinCEN BSA/AML, EU AMLD6, OFAC sanctions programs, UK Money Laundering Regulations, MAS Notice 626, and other jurisdiction-specific frameworks. We configure each system based on where your institution operates and which regulators you report to.
Yes. We build AML software integration with API-based integrations across core banking platforms, CRM systems, payment gateways, KYC/KYB providers, and third-party RegTech tools. Our architecture supports both real-time and batch data exchange, depending on your infrastructure requirements.
Yes. We develop AML solutions specifically for crypto exchanges and Web3 ecosystems, including wallet monitoring, blockchain transaction analytics, VASP compliance modules, and travel rule support.
Our AI models learn from historical alert dispositions to distinguish genuine risks from routine transactions. Over time, the system tunes its detection thresholds to suppress recurring false positives without weakening its ability to catch real suspicious activity. Most clients see a significant reduction in false positive volumes within the first few months.
A basic AML module with KYC automation and transaction monitoring takes 8 to 12 weeks. A mid-level platform with AI-powered risk scoring and real-time monitoring typically takes 3 to 5 months. Enterprise-grade systems with advanced anomaly detection, multi-jurisdiction compliance, and blockchain analytics can take 5 to 8 months depending on complexity.
Costs range from $30,000 for a basic AML module to $300,000 or more for an enterprise-grade platform with advanced AI capabilities and multi-system integrations. The final cost depends on feature scope, data volume, regulatory complexity, and integration requirements. Contact us with your project details for a precise estimate.
Yes. We offer post-launch support that includes system monitoring, AI model retraining, compliance updates as regulations change, performance optimization, and troubleshooting. Support plans are structured based on your operational needs.
We use AES-256 encryption at rest, TLS 1.3 for data in transit, role-based access controls, multi-factor authentication, regular penetration testing, and comprehensive audit logging. All engagements are covered under NDA, and we follow secure software development lifecycle (SSDLC) practices throughout the project.
