Quantexa company profile: valuation, funding & revenue

This Quantexa company profile covers the company's valuation, revenue, funding rounds, investors and history. Quantexa works in enterprise software, with a focus on decision intelligence, financial crime and data analytics. It was founded in 2016 and is headquartered in London, United Kingdom. Its latest valuation on record is US$2.6 billion (post-money) (March 2025). Every figure links to a public source, and anything the company hasn't disclosed is marked as such.

Revenue

More than US$100 million in annual recurring revenue — ARR (company-reported), as of October 2024. Source: Wikipedia.

Funding history

Quantexa timeline

Key dates from the sources on this page, oldest first. Metric snapshots are listed after the funding events.

• 2016 — Quantexa is founded in London by Vishal Marria (CEO).
• 2023 — Series E: See source, valuing the company at US$1.8B.
• Mar 2025 — Series F: US$175M, valuing the company at US$2.6B. Investors: Teachers' Venture Growth (Ontario Teachers') (lead).
• March 2025 — Total funding: Just under US$550 million (PitchBook data cited by TechCrunch).

Investors

Overview

Quantexa makes "decision intelligence" software: technology that connects scattered data inside large organisations so they can see relationships between people, companies, accounts and transactions. Banks use it to detect money laundering, fraud and sanctions evasion; insurers to spot suspicious claims; governments to find tax fraud and organised crime; and companies to build a single view of their customers. Its core idea is that context, understanding how entities are connected, leads to better decisions than looking at records in isolation.

Vishal Marria, the CEO, founded Quantexa in London in 2016. He previously worked on financial crime at EY, where he saw that banks' systems struggled to connect data from different sources and generated huge numbers of false alerts. Quantexa grew into one of the UK's most valuable AI companies, with offices across Europe, North America and Asia-Pacific.

What the platform does

• Entity resolution: working out that records in different systems, perhaps spelled differently, refer to the same person or company.
• Network analytics: building graphs of relationships, such as shared addresses, directors, phone numbers or transactions, to reveal hidden networks.
• Scoring and alerts: flagging suspicious activity in context, which reduces false positives.
• AI assistants: generative AI tools that help investigators summarise cases and query data in plain language.

Customers

Quantexa's customers include large global banks such as HSBC, Standard Chartered and ABN AMRO, insurers, and government agencies, including tax and law enforcement bodies. Financial services remains its largest market. Deals are often large, multi-year enterprise contracts that start with one use case, such as anti-money-laundering, and expand to others.

Business model and revenue

Quantexa sells software licences and subscriptions, increasingly delivered in the cloud, plus implementation services through its own teams and partners such as Accenture and Deloitte. In October 2024 it said annual recurring revenue had passed US$100 million, putting it in the group of SaaS companies sometimes called "centaurs". We show that company-reported figure; it hasn't published a more recent one.

Funding

Quantexa has raised just under US$550 million in total. Its 2023 Series E valued it at about US$1.8 billion. In March 2025, it raised a US$175 million Series F at a US$2.6 billion post-money valuation, led by Teachers' Venture Growth, the late-stage arm of the Ontario Teachers' Pension Plan. It said it would use the money to expand in North America and to pursue selected acquisitions. Earlier backers include Warburg Pincus, GIC, Dawn Capital, Evolution Equity Partners, HSBC, Accenture and British Patient Capital. Reports in 2025 said the company was considering an IPO in 2026; we haven't seen a filing.

Competition

Quantexa competes with data analytics companies such as Palantir, financial crime vendors such as NICE Actimize, SAS and Featurespace (acquired by Visa), and identity and data providers. Its advantages are its entity resolution technology, strong reputation among large banks and a platform that covers many use cases beyond financial crime.

Quantexa at a glance

Quantexa is a London decision intelligence company founded in 2016 by Vishal Marria. It passed US$100 million in ARR in October 2024 and raised a US$175 million Series F at a US$2.6 billion valuation in March 2025, led by Teachers' Venture Growth, up from US$1.8 billion in 2023. Its customers include major banks, insurers and government agencies.

Why connected data matters in financial crime

Criminal networks deliberately spread activity across many accounts, companies and people to avoid detection. A single transaction may look normal, but when you see that the sender, receiver and several other accounts share directors, addresses or devices, a pattern emerges. Traditional rule-based monitoring systems look at transactions individually and generate many false alerts, which compliance teams spend enormous time reviewing. Network analysis can surface genuine risks and dismiss false ones faster, which saves money and helps meet regulators' expectations.

Regulation as a growth driver

Banks face heavy fines when anti-money-laundering controls fail, and regulators in the UK, US and EU have pushed them to modernise. New rules on sanctions, beneficial ownership and real-time payments create additional demand for better tools. That makes financial crime software a relatively resilient market, since compliance spending tends to continue even when other budgets are cut.

Valuation context

At US$2.6 billion, Quantexa's valuation was roughly 20 to 25 times its disclosed ARR at the time, reflecting its growth and the quality of its customers. Our guide to SaaS valuation multiples explains how investors weigh growth, retention and margins when pricing software companies.

Questions for buyers

• How much can it reduce false positives on our existing alerts?
• How long does implementation take, and who carries it out?
• Can it combine our internal data with external sources such as company registries?

From financial crime to the wider enterprise

Quantexa's early growth came from anti-money-laundering and fraud, where the value of connecting data is obvious and budgets are protected by regulation. The same technology applies more broadly. A bank can use it to see all the relationships a corporate customer has across its divisions, an insurer to price risk more accurately, a government to understand supply chains or detect procurement fraud, and a company to clean up duplicate customer records before introducing AI tools. Expanding into these areas increases the potential market significantly, but it also means competing with general data platforms and analytics vendors that already have a foothold in those departments.

Generative AI adds another angle. Large language models are only as useful as the data they can draw on, and messy, duplicated records lead to poor answers. Quantexa argues that its connected data layer gives AI assistants a reliable foundation, which could become an important selling point as organisations deploy AI more widely across their operations and in their customer-facing services.

Latest developments (October 2026)

Quantexa's March 2025 Series F of US$175 million, led by Teachers' Venture Growth at US$2.6 billion, remains its latest priced round. Reports in 2026 said the London company was considering an IPO at a valuation above US$3 billion, according to a summary on Wikipedia; we could not confirm a completed listing. Quantexa sells decision intelligence software used by banks and governments to detect fraud and financial crime.

What to watch

Watch for an IPO filing, updated ARR figures, North American growth, acquisitions and new AI products.

Practical notes

Compliance leaders can use network analytics to cut alert backlogs. Founders can learn from how Quantexa built on deep domain expertise in one market before expanding. Investors should watch whether an IPO goes ahead and at what valuation.

Sources

Every figure on this page comes from the public sources below. Where sources disagreed, we used the company's own announcement or a primary news report. Private-company data changes; check the date beside each figure.

1. TechCrunch
2. Wikipedia
3. UKTN