Napier AI
Napier AI Continuum is an anti-money laundering platform for regulated financial institutions, combining client and transaction screening, transaction monitoring and continuous client risk assessment with explainable AI. Deployment is flexible; access runs through a sales demonstration.
What is Napier AI?
Napier AI is a British software vendor founded in 2015 and headquartered in London that builds anti-money laundering and financial crime compliance software for regulated institutions. Its product is Napier AI Continuum, a modular platform presented as a single financial crime risk management centre rather than a collection of point tools.
Four modules are available on their own or as a suite: Client Screening, which checks customers and entities against sanctions, PEP and adverse media lists in real time or in batch; Transaction Screening, which inspects payments of every type as they move; Transaction Monitoring, which watches account activity against more than 100 built-in AML typologies; and Perpetual Client Risk Assessment, which keeps a rolling view of customer risk across the whole lifecycle. A Regulatory Reporting Manager, Entity Screening and Client Activity Review complete the range.
The platform connects in three ways. Continuum Pro is the enterprise configuration for institutions with complex customisation needs, Continuum Live is a plug-and-play deployment, and Continuum Flow plugs the engine into an existing stack through secure APIs. Continuum can also sit above an existing AML framework as an aggregation layer.
Technically, Continuum is built on a unified data layer with a microservices and Kubernetes architecture, described as cloud-native and API-first. Detection combines configurable business rules with machine learning, producing two comparable scores, and rules can be built and tested by non-technical staff in a no-code interface. The integrated sandbox, which Napier claims to have pioneered in this market, lets teams try new rules on production data before anything reaches the live environment. Alerts come with plain-language explanations through Insights AI and AI Advisory, and the fuzzy matching engine handles transliteration and more than 25 languages, including simplified Chinese and Arabic.
Deployment is unusually open: fully managed SaaS in any Azure data centre, any public or private cloud, an air-gapped option, hybrid environments, or on-premise. Napier claims more than 150 financial institutions as customers, names Australia Post, Banco do Brasil, Starling and Freemarket among them, and holds ISO 27001:2022 certification and a SOC 2 Type 2 audit. No pricing is published and there is no trial: every route into the product runs through a demonstration request.
What it does
- Screen clients and entities in real time or in batch against sanctions, PEP and adverse media lists
- Screen payments in real time across all payment types
- Monitor transactions against more than 100 built-in AML typologies
- Build, test and deploy detection rules without code in a production-data sandbox
- Score client risk continuously across the whole customer lifecycle
- Explain every alert in plain language and auto-discount false matches
- Prepare and file regulatory reports from the investigation record
When to use Napier AI / When not to
A quick filter to help you decide if Napier AI is the right fit.
When to use Napier AI
- Compliance officers and money laundering reporting officers at banks, payment firms and wealth managers
- Sanctions, PEP and adverse media screening analysts working through high alert volumes
- Transaction monitoring analysts who need to build and test detection rules without a developer
- IT and architecture teams that must keep AML workloads on-premise or in a private cloud
- Financial crime investigators in multi-jurisdiction institutions and in law enforcement units
When not to use Napier AI
- Individuals and small businesses: there is no free plan, no trial and no self-service signup
- Buyers who need published pricing before agreeing to speak to a sales team
- Anyone looking for a mobile app, as none is offered on iOS or Android
- Developers who want to assess an API from public documentation before contacting the vendor
- Organisations outside financial crime compliance, such as cybersecurity, accounting or consumer fraud teams
How to use Napier AI
A typical end-to-end flow, from setup to results.
- Request a demonstration through the form on the site, as there is no self-service signup
- Choose the connection model with the vendor: Continuum Pro, Continuum Live or Continuum Flow
- Choose the deployment: managed SaaS on Azure, public cloud, private cloud, air-gapped, hybrid or on-premise
- Select the modules needed, either one at a time as point solutions or as the full suite
- Pick the third-party data providers for sanctions, PEP and adverse media lists, with Napier's help
- Configure detection rules and scenarios in the no-code builder
- Test the rules on real production data in the sandbox and compare results before going live
- Deploy to the live environment, which Napier says can happen in as little as 21 days
- Work alerts daily from the configurable dashboard, using auto-discounting and automatic allocation
- Escalate to a regulatory filing through the Regulatory Reporting Manager, with fields pre-populated from the investigation
Pros & Cons
Pros
- Deployment freedom that is rare in this market: managed SaaS, public or private cloud, air-gapped, hybrid or on-premise
- Rules can be tested on production data in a sandbox before anything reaches the live environment
- No-code configuration puts tuning in the hands of compliance staff and cuts dependence on consultants
- Explainability is designed to be defended in front of a regulator, with plain-language justifications
- Verifiable security posture: ISO 27001:2022 certified, SOC 2 Type 2 audited and FSQS registered
- Named customer references and dated industry awards rather than anonymous claims
- Detailed, dated privacy policy that spells out all eight GDPR rights and the retention periods
Cons
- No pricing at all is published: no figures, no ranges, no billing unit anywhere on the site
- No free plan, no trial and no self-service signup; a sales demonstration is the only way in
- No public API documentation, despite an API-first architecture and a product tier sold for API integration
- No terms and conditions are published: the terms URL redirects to the privacy policy
- No data processing agreement and no subprocessor list, which is unusual for a vendor handling banking data
- The three product tiers all redirect to the same page and are never documented separately
- Performance figures such as 97% fewer false positives or a 21-day go-live are vendor claims with no published methodology
Pricing & Plans
Napier AI does not publish any pricing. There is no free plan and no free trial, and no amount, currency or billing unit appears anywhere on the site, including in its full sitemap. The vendor describes a subscription model in which innovation is delivered twice a year at no additional cost, and argues on total cost of ownership rather than on list price. A figure can only be obtained by requesting a demonstration.
- enterprise platform with highly flexible deployment
- for organisations with complex customisation needs. No price published
- plug-and-play deployment
- for organisations seeking compliance from day one. No price published
- integration into an existing technology stack through secure APIs. No price published
- Modules available individually as point solutions or together as a full suite. No price published
Data, GDPR & hosting
A consolidated view of how Napier AI handles your data.
GDPR overview
The privacy policy, last updated on 1 April 2024, is detailed and explicit. It names the GDPR (EU Regulation 2016/679), the Data Protection Act 2018 and the UK GDPR, and states that Napier will always work to fully protect your rights and comply with its obligations under that legislation. All eight data subject rights are listed individually, each processing purpose carries a stated lawful basis, and a Data Protection Officer is reachable at dpo@napier.ai. Subject access requests are answered within 30 days, extendable to three months, and the ICO is named as the supervisory authority. Transfers outside the UK rely on Standard Contractual Clauses with the UK Addendum, or on the UK IDTA. Three gaps remain: no Article 27 EU representative is designated, no data processing agreement is published, and no subprocessor list exists.
Who owns the data?
The site publishes no terms and conditions: the terms URL redirects to the privacy policy, which is the only legal document available. That policy governs website visitors and prospects, not the data institutions process inside the platform. For website data, Napier Technologies Limited acts as controller, states it will not share personal data with third parties except when business or assets are sold, transferred or merged, and when group companies obtain professional legal and accountancy advice. Other recipients, such as CRM, payment, billing and e-signature providers, are described by category but never named. Ownership of customer platform data is not addressed anywhere on the site.
Reuse rights
Because no terms and conditions are published, the site never states what a customer may do with the data it processes in the platform, or whether that data may be reused without asking permission. The privacy policy only covers Napier's own reuse of website and prospect data, for marketing, sales, recruitment and business development, each with a stated lawful basis; visitors can withdraw consent, object to processing and opt out of marketing at any time. On the product side, the deployment model implies that the client keeps its data in its own environment, whether managed SaaS, private cloud, air-gapped or on-premise, and every user and system action is recorded in a full audit trail. That is an inference from how the platform is deployed, not a contractual commitment published anywhere.
Data retention & training
Hosting summary
Two levels have to be kept apart. For website and prospect data, the privacy policy states that personal data is stored or transferred within the UK and within the EEA. Napier staff in Ireland, Spain, Denmark, Poland, Austria, Ukraine, Malaysia and Canada may access it under confidentiality obligations. Transfers to third countries, including the United States, rely on European Commission adequacy decisions, Standard Contractual Clauses with the UK Addendum, or the UK International Data Transfer Agreement, assessed case by case. For the platform itself, hosting is the customer's choice and no jurisdiction is imposed: fully managed SaaS in any Azure data centre, any public cloud, any private cloud with an air-gapped option, hybrid environments, or on-premise. Australia Post is cited as deploying Continuum in Microsoft Azure. Security rests on ISO 27001:2022 certification, a SOC 2 Type 2 audit, regular testing, vulnerability analysis, and backup and disaster recovery arrangements. No hosting country is published for the platform, and no subprocessor list exists for either level.
Things to keep in mind
Risks and trade-offs to weigh before adopting Napier AI.
- Over-trusting automated scoring: aggressive auto-discounting cuts alert volume but pushes risk toward false negatives, which are invisible by nature
- Regulatory responsibility stays with the institution, as no AML tool transfers the obligation to report suspicious activity
- The sandbox runs on real production data, so live customer records circulate in a testing environment and need controlling
- Explainable AI is a vendor claim, and the quality of the justifications produced can only be judged in real use
- A false positive on sanctions, PEP or adverse media has concrete consequences for a real person, and depends heavily on the quality of third-party list data
- Automating low-level triage can gradually erode analysts' ability to investigate a complex case on their own
- Contractual opacity: with no published terms, no DPA, no subprocessor list and nothing said about whether customer data trains the models, those commitments can only be read after signing
Setup & Integrations
Technical difficulty
Setup is a project, not a signup. Effort varies widely: Continuum Live is presented as plug-and-play, Continuum Pro as a heavily customised enterprise deployment, and Continuum Flow as an API integration into an existing stack. On-premise or air-gapped deployments require infrastructure skills on the client side. Napier claims go-live in as little as 21 days, and a customer quotes six weeks. Once live, day-to-day configuration is explicitly aimed at non-technical business users through the no-code rule builder and the sandbox, supported by a dedicated Customer Success Manager and a 24-hour support portal.
Deployment
Integrations
Supported languages
Behind Napier AI
Fundraising
Social
Resources
All the official URLs gathered for verification and reference.
Frequently asked questions
What does Napier AI actually do?
How much does it cost?
Can I try it before buying?
Where is my data hosted?
What security certifications does Napier AI hold?
Is there an API?
Which languages does the matching engine support?
How long does implementation take?
Who is behind the product?
Are there published terms and conditions?
Should you pick Napier AI?
Napier AI is an established vendor rather than a promise: the company is registered in England under number 09901129, lists eight offices, names its executive team, publishes customer case studies with Australia Post, Banco do Brasil, Starling and Freemarket, and holds ISO 27001:2022 certification and a SOC 2 Type 2 audit. A 45 million GBP investment from Crestline Investors was announced in February 2024.
What distinguishes Continuum is less the AI than the operating model around it. Deployment choice is genuinely broad, from managed SaaS to air-gapped on-premise, which matters for institutions that cannot move their data. The sandbox for testing rules on production data, and the no-code rule builder aimed at compliance staff rather than developers, address the real cost of AML software: the consultancy needed to keep it tuned. The insistence on explainability is aimed squarely at the regulator in the room.
The reservations are documentary rather than technical. No pricing is published, in any form. No terms and conditions exist: the terms URL redirects to the privacy policy. No data processing agreement, no subprocessor list and no Article 27 EU representative are published, a notable set of gaps for a British vendor serving European banks. There is no public API documentation, although an entire tier of the product is sold as API integration. Headline figures such as a 97% reduction in false positives come without published methodology.
For a compliance team at a regulated institution, Napier AI deserves a place on a shortlist. For anyone else, there is nothing to try: everything meaningful, including the price and the contract, sits behind a demonstration request.
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