Napier AI
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About
Napier AI provides a comprehensive, next-generation anti-money laundering (AML) and financial crime compliance platform known as the Napier AI Continuum. The platform is designed to help financial institutions, insurance companies, and wealth management firms navigate the complex regulatory landscape by automating the detection and prevention of financial crimes. By integrating multiple compliance solutions into a single unified dashboard, it allows organizations to move beyond meeting legal obligations to treating compliance as a strategic business advantage. The system operates through a modular architecture that includes transaction monitoring, client screening, and transaction screening. One of its standout features is the unique sandbox testing environment, which allows non-technical business users to define, iterate, and test rules against real data before deploying them to a live environment. The platform uses advanced machine learning and fuzzy-matching algorithms to dramatically reduce false positives while identifying more actual threats. Additionally, its Perpetual Client Risk Assessment (pCRA) solution offers continuous, dynamic risk evaluation across the entire customer lifecycle rather than relying on static periodic reviews. The tool is specifically engineered for professionals in risk, compliance, IT, and financial crime within sectors like banking, payments, gaming, and telco. It caters to organizations of varying sizes and technical maturities, offering both cloud-native and on-premise deployment options. Because it follows an API-first architecture, it can scale to handle massive transaction spikes with low latency, making it particularly suitable for high-growth fintechs or large established entities like Australia Post and Banco do Brasil. What differentiates Napier AI is its commitment to "Explainable AI," ensuring that every decision made by the system is transparent and regulator-ready. Unlike many traditional black-box AI solutions, Napier’s platform was developed in collaboration with regulators to ensure compliance-led outcomes. Its ability to go live in as little as six weeks provides a significant speed advantage in an industry often plagued by long implementation cycles. Furthermore, the platform empowers analysts with AI-enhanced insights that complement existing rules-based processes rather than replacing them entirely, keeping humans in control of critical decision-making.
Pros & Cons
Supports rapid implementation with documented cases of reaching go-live status in six weeks.
Provides a unique sandbox environment for non-technical users to test rules on real data.
Maintains high security standards with ISO 27001:2022 certification and SOC2 Type 2 auditing.
Offers flexible deployment models including both cloud-native and on-premise options.
Uses explainable AI to ensure all automated decisions are transparent and ready for regulatory review.
Pricing is not transparently listed and requires a custom quote and demo request.
Primarily designed for large financial institutions and may be overly complex for small businesses.
Full implementation may require significant data integration efforts from the client side.
No self-serve free trial is available to test the dashboard before contacting sales.
Use Cases
Compliance Officers at challenger banks can rapidly deploy modular AML tools to scale security as their customer base grows.
Money Laundering Reporting Officers can use the sandbox feature to fine-tune screening rules, reducing manual false positive reviews.
IT teams in insurance firms can leverage the API-first architecture to integrate transaction monitoring into existing legacy systems.
Risk Analysts at wealth management firms can implement pCRA to move from periodic reviews to continuous monitoring of high-risk accounts.
Platform
Task
Features
• automated reporting
• transaction monitoring
• transaction screening
• perpetual client risk assessment
• client screening
• explainable ai insights
• api-first architecture
• sandbox testing environment
FAQs
How long does the implementation process typically take?
While implementation times vary based on organizational complexity, Napier AI has a proven track record of rapid deployment, with some customers reaching live status in as little as six weeks.
Can I test new compliance rules before they go live?
Yes, the platform includes a unique sandbox environment designed specifically for non-technical business users to define, iterate, and test rules against real data before deploying them.
What deployment options are available for the platform?
Napier AI offers highly flexible deployment models, allowing organizations to choose between cloud-native or on-premise installations to meet their specific infrastructure needs.
How does the platform help in reducing false positives?
The platform utilizes advanced machine learning and fuzzy-matching algorithms to accurately identify risks while filtering out noise, significantly reducing the volume of manual reviews.
What is Perpetual Client Risk Assessment (pCRA)?
pCRA is an advanced solution that continuously and dynamically assesses customer risk throughout the full client lifecycle rather than relying on outdated periodic reviews.
Pricing Plans
Enterprise Solutions
Unknown Price• Transaction Monitoring
• Client Screening
• Sandbox Testing Environment
• Perpetual Client Risk Assessment (pCRA)
• API-first architecture
• Cloud or On-premise deployment
• Explainable AI insights
• Fuzzy-matching algorithms
• Automated reporting
• Dedicated support
Job Opportunities
Back End Engineer (Go)
Strengthen AML defenses and transform financial crime compliance into a competitive advantage for financial institutions with explainable AI and modular tools.
Benefits:
Comprehensive private healthcare through AXA
25 days annual leave + bank holidays, birthday and wellness day
Dedicated pension plan through Aviva
Life Insurance 4x annual salary
Work from anywhere for up to 1 month
Experience Requirements:
Hands-on programming experience – Go
Apache Kafka, Kubernetes, Docker, GitHub
Azure and AWS or GCP and data processing in cloud
Database and SQL development experience, especially PostGreSQL
Collaborative team player with strong communication skills
Other Requirements:
Applicants must have the right to work in the United Kingdom
Comfortable working with remote engineering teams and distributed delivery models
Responsibilities:
Developing, debugging and unit testing of product features
Diagnosing and solving functional and performance/scalability issues
Improving technical practices towards a continuously releasable end-state
Building high-quality features in alignment with technical vision
Continually improving technical debt and evolving the system
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