Quantexa offers an enterprise platform that leverages AI and analytics to combat money laundering and fraud and to connect and curate structured and unstructured data across silos for AI workloads. The company is increasingly positioning its tooling for data curation to power generative and other AI services, building partnerships with Microsoft (for Microsoft Fabric and an AML solution for U.S. mid-market banks via the Azure Marketplace) and Databricks. It reported license revenue growth of 40% in the last year, has “thousands of users,” roughly 800 employees, and operates 16 offices globally. The startup has raised just under $550 million to date, and its Series F values it at $2.6 billion post-money. Management plans to expand its public-sector business unit while growing its AML and fraud-identification business alongside broader AI projects. The company is a nine-year-old London startup. Quantexa builds AI-driven risk and compliance software for banks, governments and large enterprises, offering tools to verify identities, detect money laundering, support financial investigations, and create customer/business graphs for BI and CRM. Its solutions combine machine learning, natural language processing and graph analytics and are deployed alongside customers' existing systems via APIs. Quantexa serves hundreds of customers across some 70 countries, including BNY Mellon, HSBC, Standard Chartered, Danske Bank, Vodafone and the U.K. Public Sector Fraud Authority. The company says it has doubled its business in the last 18 months — doubling users, revenues and the industries it targets — and is growing ARR at 140% (up from 108% subscription revenue growth at Series D). Quantexa is not yet profitable but reports it has between two and three years of runway from prior funding and operating cash generation, and management projects $100M in revenue next year with profitability targeted by 2025. The company plans to use new funding to invest in product development and pursue acquisitions (it recently acquired Irish NLP specialist Aylien) to accelerate inorganic growth. Quantexa builds AI and machine-learning “Contextual Decision Intelligence” software that links internal and external data to detect money laundering, fraud and other illicit activity. The company sells software (not data) that creates single views of individuals and entities and visualizes relationships via graph network analytics. Its platform has processed up to 60 billion records in a single engagement and is used for KYC, AML, fraud detection and broader investigative use cases. Financial services still represent about 60% of revenue, with seven of the top 10 U.K. and Australian banks and six of the top 14 North American financial institutions as customers. Quantexa has partnerships with firms such as Accenture, Deloitte, Microsoft and Google, and counts “thousands” of customers across 70 markets. The company has expanded into government, healthcare, telco and insurance, applying its tools to areas including tax compliance and human-trafficking investigations; management has signaled a long-term plan to grow independently toward an IPO. Quantexa's core product is a machine-learning platform branded Contextual Decision Intelligence (CDI) that connects disparate data points to surface nefarious activity and build richer customer profiles. The company sells software deployed on premises or in private clouds and complements customer data with publicly available sources rather than ingesting proprietary data. Quantexa has built traction with major financial services customers, including Standard Chartered, OFX and Dunn & Bradstreet, and reports thousands of users across 70+ countries. It plans to continue enhancing tools for financial services while expanding into insurance and government/public sector use cases. Geographical expansion is a priority, with plans for North America, Asia-Pacific and additional European territories. The company has been positioned as a lower total cost-of-ownership platform with real-time and batch entity-resolution capabilities. Quantexa provides AI-powered entity resolution and network analytics that knit together large, disparate datasets to reveal hidden customer connections and behaviors. Its platform is used across use cases including anti-money laundering, customer insight, credit risk and broader financial crime detection. The company emphasizes real-time entity resolution combined with big data and AI to generate contextual investigations and actionable intelligence. Quantexa plans to accelerate development of its dynamic network analytics models and expand AI-enabled solutions through a strategic collaboration announced with Accenture. The partnership will leverage Accenture Applied Intelligence and Accenture’s Financial Crime Analytics Utility to help train and continuously refine Quantexa’s models. Quantexa is headquartered in London and also has offices in New York, Brussels and Sydney. The article does not disclose revenue or other operating metrics.

Total raised

$545M

Funding rounds

7

Latest round

Series F

Latest activity

Mar 2025