Quantexa: connected customer data, financial-crime analytics and decision workflows

Quantexa describes streaming, API and batch integration with existing data and governance systems. Outputs can feed CRM, workflow and case-management applications; the FAQ names Oracle Mantas, Appian and Actimize among case-manager integrations. It also supports data-science environments and Python. Deployment can be cloud, hybrid or on premises, so the interface, hosting environment and responsibilities can be selected around an institution’s existing architecture.[4]

Unify has a more specific deployment model. Quantexa’s 19 March 2025 product walkthrough places the workload in the customer’s Microsoft Fabric tenant. Users select OneLake data sources; the product examines metadata and maps fields to entity-resolution models. A finance use case can select stricter matching than a sales use case. The resulting data products can feed Fabric analytics and data pipelines while remaining subject to that tenant’s access controls.[3]

The vendor’s Microsoft Marketplace entry lists a managed application for the wider Decision Intelligence Platform. It presents ingestion, matching, graph construction, scoring and exploration as separate capabilities. That listing provides a procurement route; the actual environment and enabled components still need to match the purchased solution.[5]

Quantexa publishes a UK government pricing schedule in G-Cloud 14. Selected annual licence figures appear below. Its tiers describe public-sector organisation types and are not a bank-size tariff.[6]

Tier 1 covers examples such as ministerial departments; Tier 2 includes agencies and local authorities; Tier 3 covers the third sector. The schedule assumes an annual subscription with a multiyear initial term. Production includes standard support and maintenance; pilots exclude production-grade support. VAT and third-party datasets are additional. Network Generation and Advanced Analytics component purchases require Entity Resolution. Quantexa negotiates scope and discounts.[6]

The accompanying G-Cloud software terms make the Software Schedule determine purchased scope and fees. Undisputed invoices are payable within 30 days. The stated default is renewal for 12 months unless either party gives at least 30 days’ notice before the current term ends, subject to an alternative renewal period in the schedule. These are the published framework terms, with the relevant call-off forming the actual agreement.[7]

Quantexa’s customer-services model begins by training a centre-of-excellence team, including engineers and analysts. The next stage prepares the first solution for go-live and sets a roadmap for later applications. The final stage hands prioritisation of new requirements to the client team. This makes staffing and knowledge transfer part of delivery: the initial use case should have named business owners, data engineers and the people who will maintain its models.[9]

The G-Cloud service description identifies data volume, timeliness, quality and complexity, model sophistication, user numbers and service levels as planning inputs. It separates data-source onboarding from optional automated data-quality remediation, and provides for performance testing before production. A practical first delivery therefore needs an agreed source inventory, representative data, target refresh frequency and an acceptance workflow for the resulting matches and decisions. These determine the work more directly than a generic installation duration.[8]

Customer Success handles roadmap sessions and reviews, while the support desk handles product faults. Quantexa’s Learning Academy trains data engineers, scoring engineers, project managers and business analysts. Its delivery model aims to make the customer team able to operate and extend the platform, with specialist assistance available around that work.[9]

The public G-Cloud listing declares telephone support around the clock and severity-based responses, including a 30-minute initial response for a critical error. It lists workaround and correction targets separately. These are the support declarations attached to that government service listing; the purchased support package and contract define an individual customer’s entitlement.[8]

Quantexa’s role in these products is data and analytics software. Cloud AML provides monitoring, investigation and regulatory-reporting workflows for the U.S. institutions described in its product scope. Customer risk ratings and SAR/CTR preparation are application functions to incorporate into the institution’s compliance operating model.[2]

The public G-Cloud licence grants term-limited use for the customer’s internal business operations. An outsourced implementation or hosting provider can obtain access only under the stated contractual conditions. The intellectual-property clauses retain the software, documentation and materials developed under that agreement with the licensor or relevant rights holder, and provide no perpetual software licence. These published provisions make internal use, external access and ownership material parts of the software schedule; they should not be extended to a different negotiated contract without reading it.[7]

Quantexa Limited is registered in England and Wales under company number 10045407. Its current company disclosure gives the registered address as 280 Bishopsgate, London EC2M 4AG, and the website identifies headquarters at 10 York Road, London SE1 7ND. The disclosure separately lists regional group entities, including Quantexa Inc. in the United States, so the relevant contracting company should be identified in the agreement.[13]

Quantexa announced its completed acquisition of Dublin-based Aylien in February 2023. The announcement describes natural-language-processing technology, a news API and an analyst application for examining unstructured news. Quantexa’s December 2023 review identifies the acquired offering as Quantexa News Intelligence. These names map to the same acquired family.[14][18]

Operator

Quantexa Limited

Service scope

Entity resolution, connected customer data, graph analytics and operational decision software, including KYC and financial-crime applications.

Customer types

Banks; Credit unions; Insurance companies; Public-sector organisations; Enterprise data and risk teams

Delivery

Hosted; On premises; API; Hybrid

Pricing publication

Public and quoted pricing

Headquarters

10 York Road, London SE1 7ND, United Kingdom

Platforms

Decision Intelligence Platform; Quantexa Cloud AML; Quantexa Unify

Integrations

Streaming, API and batch interfaces; Microsoft Fabric and OneLake; Microsoft Marketplace managed application; Oracle Mantas; Appian; Actimize; Python

Pricing scope

Public G-Cloud 14 annual licence figures are specific to UK government tiers. Commercial scope, subscription, support and external-data costs require the applicable offer.

Implementation

Train client engineers and analysts, onboard source data, configure matching and decision workflows, validate results and move from a first solution to an owned application roadmap.

Support

Customer Success, Learning Academy and a product support desk; contractual support scope varies with the purchased service.

Permissions and regulatory scope

Data, KYC and financial-crime software. Cloud AML supplies monitoring, investigation and reporting workflows for U.S. credit unions, midsize and community banks.

Provider metadata checked 20 Oct 2026Source 1Source 2Source 4Source 3Source 5Source 6Source 7Source 9Source 13Source 14Source 18

The 30 September 2026 Morgan Stanley announcement supplies a concrete customer-data example. Quantexa reports that its entity resolution ingests customer and contact data across business lines. One matching configuration follows existing governance standards automatically; a second presents additional consolidation opportunities for human stewardship. Morgan Stanley’s quoted client-intelligence executive describes a more comprehensive enterprise client view. The example shows why matching policy and review ownership matter even when the underlying technology is shared.[15]

In its Standard Chartered case study, Quantexa describes analytics running alongside existing financial-crime systems and investigators exploring seven years of transaction data. The bank executive’s account explains how common email addresses in due-diligence records and device identifiers can connect counterparties that transaction patterns alone did not expose. This is a vendor-published customer account of investigation practice; it gives useful context for selecting source fields and presenting relationships to analysts. The case page does not display a publication date.[16]

The undated Novobanco customer page describes a collaboration with Quantexa and Microsoft using Fabric and entity resolution to create a unified data estate. It reports that the bank has deployed more than 50 AI models, but does not establish that Quantexa supplied every model or that all were built on this integration. The supported implementation point is the combination of the bank’s data, Microsoft’s environment and Quantexa’s matching capability.[17]