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Quantexa builds a decision intelligence platform powered by AI to unify and analyze large data sets for financial institutions, government agencies, and large enterprises. The platform ingests and links data from many sources to surface risks, detect fraud, and support regulatory compliance, with customers paying for the software as a subscription plus optional consulting and support services. It differentiates itself by focusing on creating a trusted data foundation and automating decision-making across complex, regulated data sources for large organizations. Its goal is to help clients automate decisions, improve operational efficiency, and grow revenue by turning data into clear, actionable insights.
Industries
Data & Analytics
Government & Public Sector
Enterprise Software
Financial Services
Company Size
501-1,000
Company Stage
Series F
Total Funding
$545M
Headquarters
London, United Kingdom
Founded
2016
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60 second briefing: AI and risk. Published on Mon, 18/05/2026 - 15:35 Quickfire Q&A with Vishal Marria, founder and CEO of Quantexa and speaker at the Global Risk Summit What is the most overlooked business risk from AI? The most overlooked risk is blind trust in AI outputs without understanding how decisions are made. When organisations cannot explain the logic, data lineage or uncertainty behind an outcome, they expose themselves to hidden bias, regulatory risk and poor decision-making. How is AI strengthening defenses in a more complex and interconnected risk landscape? AI enables organisations to unify fragmented data and uncover hidden relationships across entities, transactions and behaviours. This context allows them to detect emerging threats earlier, respond faster, and make more informed decisions across interconnected risks. It shifts risk management from reactive to proactive and predictive. Why do many organisations struggle to use their data effectively? Most organisations are rich in data but poor in context. Data remains siloed across systems, functions and geographies, making it difficult to translate into actionable insight. Without connecting data to real-world entities and decisions, organisations generate volume but not value. What's the one question every risk professional should be asking about AI but isn't yet? Can we clearly explain, govern and trust how this AI system reaches its conclusions? If the answer is no, then the organisation is not ready to rely on it for critical decisions. Trust, explainability and control are the prerequisites for scaling AI safely. Quantexa is a global data, analytics and AI software company that helps insurance providers, banks and the public sector use data and AI to make more trusted decisions.
HMRC just hired an AI to find "tax at risk." Your R&D claim needs to be ready for that. * Ross Taylor * May 15, 2026 Yesterday it was announced HMRC has awarded a £175 million, 10-year contract to a British AI firm to do one thing above all others: give the UK's tax authority a clearer, connected view of its data to improve performance, help identify tax at risk, and strengthen control. The firm in question is Quantexa - a company EmpowerRD happened to be nominated alongside at last night's National Technology Awards, in the Tech Growth Business of the Year category. EmpowerRD Limited is proud to share a shortlist with them. But EmpowerRD Limited'd be doing its clients a disservice if EmpowerRD Limited let the award excitement distract from what this contract actually signals for every UK company claiming R&D tax credits. This is not a routine IT upgrade. Britain's tax collection agency has handed Quantexa a £175 million contract to deploy AI systems that will hunt down fraud and catch tax return errors across millions of filings - a deal that marks one of the largest government AI procurement contracts in UK history and signals a major shift toward automated compliance enforcement. If your R&D claim isn't built to withstand that level of scrutiny, today is the day to fix it. What this AI is actually designed to do. Let's be direct about technology. Quantexa's platform doesn't work like typical keyword-matching software. The company specialises in contextual decision intelligence - teaching machines to connect dots across massive datasets. The system can link shell companies, trace hidden ownership structures, and spot anomalies in spending patterns that might indicate tax evasion or honest mistakes that need correcting. Applied to R&D tax credits, that capability matters enormously. HMRC already knew roughly how much it was losing. The UK's tax gap - the difference between taxes owed and collected - sits at an estimated £36 billion annually. R&D tax credits have been a focal point of that concern for years. HMRC created a dedicated R&D Anti-Abuse Unit in July 2022, after its own published analysis revealed that almost 25% of claims in the (now reformed) SME scheme were erroneous or fraudulent. What's new is the scale and sophistication of HMRC's detection capability. Traditional audit methods couldn't scale to catch sophisticated fraud schemes or even simple errors across the millions of returns filed each year. Now they can. For HMRC, this means potentially catching fraud before refunds go out the door rather than chasing money years later through costly enforcement. The direction of travel is clear: HMRC is building an intelligence-led compliance function. The question for every R&D claimant is whether their claim can stand up to it. The risk is already real - This makes it more so. Some will read this news and think: "I'm a legitimate claimant. This doesn't apply to me." That is the wrong conclusion. Even well-intentioned claims are at risk when they're poorly documented. If your claim's technical narrative resembles templated reports, or costs sit outside sector norms without explanation, HMRC's risk tools may rank you at higher risk. The AI doesn't distinguish between a poorly evidenced legitimate claim and a fraudulent one - both look the same to a pattern-matching system. HMRC compliance checks were already rising sharply before yesterdays announcement. The number of compliance checks for 'high-risk' claims increased from 10% in 2023 to 17% in 2024. And the AI system HMRC is now deploying at national scale is explicitly designed to identify tax at risk and strengthen control - including across R&D filings. There's a further dimension here that has been building for some time. HMRC's failure to either confirm or deny its use of AI has reinforced the belief that AI is being used by its case officers. This undermines taxpayers' trust and discourages legitimate claimants - hindering the policy objective of the R&D tax relief scheme. The Quantexa contract makes it explicit: AI is now formally, publicly, and massively embedded into HMRC's compliance infrastructure. There is no more ambiguity. "This is not a reason to avoid claiming. It is a reason to claim properly - with evidence that survives scrutiny, not just software." The compliant majority is paying for the non-compliant minority. This is not a new problem, but it's about to get sharper. The compliant majority are paying for the minority's misdeeds through increased processing periods and enhanced HMRC compliance checks and enquiries. When HMRC's new AI flags a claim as anomalous, the burden of proof falls on the claimant. If your technical narrative is generic. If your cost methodology hasn't been stress-tested. If your supporting documentation was assembled quickly at year-end. You will be the one answering the enquiry letter. For HMRC, the Quantexa agreement forms part of a broader strategy to become "an agile department supported by a modern IT infrastructure." The department is pursuing this through investments in emerging technologies, including generative AI and cloud platforms, legacy system modernisation, and strategic partnerships with technology providers. This is a long-term structural change, not a campaign. The compliance environment for R&D claimants will only become more technically capable over time. What this means for your claim. Here is what EmpowerRD clients - and any company currently claiming R&D tax credits - should be doing right now: * Your technical narrative must be specific. Generic descriptions of "innovative software development" or "overcoming technical challenges" are not defensible. HMRC's AI will compare your language against sector norms and prior claims. Your narrative needs to articulate specific technological uncertainties, specific approaches taken, and specific reasons why the work qualifies. If you can't explain it precisely, neither can your claim. * Your cost methodology must be traceable. Staff time apportionment needs to be grounded in actual project records, not estimates assembled after the fact. Subcontractor costs need contracts and evidence of qualifying activities. Externally provided workers need correct categorisation under the RDEC or SME rules. An AI system built to spot anomalies in spending patterns will find the gaps that a human reviewer might overlook. * Your claim cannot rely on volume - it must rely on substance. The era of high-volume, low-scrutiny R&D claims is over. Every line of your claim needs to be supportable in an enquiry. That means primary-source documentation, project timelines, technical evidence The ultimate guide to R&D tax credit reforms in 2026. Navigate R&D changes and secure your future claims
3 ways banks can strengthen Supply Chain Integrity. Expose hidden risk with a contextual supplier view to detect fraud sooner, investigate faster, and turn compliance into continuous assurance. Last updated: Mar 26th, 2026 As supply chains grow more complex and interconnected, banks face increasing regulatory scrutiny and more exposure to fraud and third-party risk. Traditional controls, such as periodic reviews and reactive investigations, are no longer sufficient to protect against growing financial crime threats and ensure supply chain integrity. Instead, banks must move toward an intelligence-led, continuously monitored approach. That's why Quantexa Limited partner with PwC to empower financial institutions to combine deep risk and regulatory expertise with contextual data and analytics to detect fraud earlier, investigate faster, and embed proactive governance across supply chains. Here are three top priorities banking leaders should focus on: 1. Build a contextual 360° view of suppliers to enable integrated risk intelligence. Supplier data is often scattered across procurement systems, onboarding tools, compliance checks, and external sources. This fragmented data limits visibility and makes it difficult to identify hidden connections that may pose a threat to your organization. By connecting internal and external data sources across structured and unstructured data, you can create a single 360° supplier view and a contextualized view of risk that makes it easier to identify real threats. Quantexa Limited enable this approach with its market-leading Entity Resolution and graph capabilities, which bring together disparate datasets, resolve entities, and surface relationships between suppliers, counterparties, and third parties. This enables you to uncover hidden connections, identify risk signals earlier, and better understand the broader ecosystem in which a supplier operates. PwC supports the design and implementation of this integrated data approach to ensure alignment with regulatory expectations. 2. Strengthen fraud detection, investigations, and response. Traditional tools can't decipher complex relationships, so they often fail to reveal the hidden connections that pose risks to your organization's reputation and operational integrity. Remaining a step ahead of fraudsters means having the ability to identify suspicious patterns early, investigate them effectively, and act decisively. Its platform enables you to do this by using the power of context to reveal hidden relationships multiple associations away and proactively identify anomalies that alert to meaningful risk. Its analytics help to uncover concealed links between suppliers, counterparties, and high-risk entities to provide a clearer picture of potential fraud exposure. PwC complements this with enhanced due diligence and investigative support to help you interpret insights and validate risks, as well as respond effectively. This combined approach enables you to evolve from reactive case handling to proactive fraud detection and prevention across the supply chain. Building a contextual data foundation not only enables integrated risk intelligence and strengthens compliance, but it also improves onboarding decisions and offers the opportunity to expand into adjacent use cases, such as ESG monitoring, cyber risk oversight, and financial resilience analysis. 3. Embed continuous assurance and holistic supplier risk governance. To remain effective, banks must continuously update and validate the single supplier view as new data, behaviors, and risks emerge. Rather than point-in-time assessments and periodic audits, you need continuous assurance and should opt for ongoing monitoring of supplier relationships, risk indicators, and behavioral patterns to maintain an accurate, real-time understanding of risk. You can develop a holistic risk profile for each supplier that combines signals across compliance (AML, sanctions), fraud, operational performance, and external risk indicators by leveraging integrated data and analytics. This dynamic view allows you to detect changes early, such as emerging financial distress, suspicious network activity, and shifts in ownership structures, which can then trigger timely intervention. Embedding this capability into governance frameworks ensures that all your teams operate with a shared, continuously updated view of supplier risk. PwC supports the design of these governance models and response frameworks to enable faster decision-making and effective remediation, while Quantexa provides the contextual data fabric and monitoring capabilities that underpin continuous assurance. The result is a shift from static oversight to proactive, intelligence-led risk governance, which strengthens supply chain integrity and reduces exposure to fraud in the long term. From uncertainty to advantage. As supply chains are becoming exposed to more risk, it's vital that your organization builds a 360-degree connected view of the entire supplier ecosystem to optimize compliance, protect your reputation, and grow your resilience. You can make that possible with Supply Chain Integrity to transform fragmented data into trusted insight. Strong visibility transforms uncertainty into an opportunity to build resilience and maintain integrity to stay ahead of emerging threats.
Quantexa showcases how Decision Intelligence powers the next generation of ai-driven organizations at QuanCon 2026. Leaders from global enterprises and government agencies demonstrate how context-driven intelligence and ecosystem collaboration are transforming organizations into decision-centric enterprises Quantexa signs strategic partnership with Moody's to advance AI-driven enterprise risk management LONDON, March 03, 2026 (GLOBE NEWSWIRE) - Quantexa, a global leader in Decision Intelligence, today will showcase platform and industry ecosystem innovations at QuanCon 2026, the company's annual global customer and partner ecosystem event. The progress reinforces Quantexa's vision for a new generation of AI-ready organizations powered by context, where data, analytics, AI, and humans combine to enable confident decisions across risk and compliance, growth, and operational transformation. As enterprises tackle data fragmentation and accelerating AI adoption, Quantexa is advancing a unified approach to decision-making that helps them connect and maximize the value from disparate data, create real-world context, and operationalize trusted intelligence at scale. "Organizations have always struggled with a lack of connected data, and now the advent of AI has highlighted the lack of context," said Vishal Marria, Founder and CEO of Quantexa. "At QuanCon, we are introducing innovations and showcasing how enterprises are moving beyond data and analytics silos, toward truly connected, contextual decision-making. This is the foundation of trusted AI, resilient operations, and sustainable growth in the decade ahead." Accelerating the Shift to Context Powered Decision Intelligence At QuanCon 2026, fresh off being recognized as a leader in 2026 Gartner(R) Magic Quadrant(TM) for Decision Intelligence Platforms, the company will demonstrate platform capabilities designed to help organizations operationalize Decision Intelligence across industries, including banking, insurance, and the public sector. Key themes include: * AI-Enabled Decision Intelligence: Expanding Quantexa's AI capabilities to help organizations augment and automate complex decisions while maintaining transparency and trust. * Trusted Data Foundations: New solutions that unify fragmented enterprise data into connected networks powered by context, enabling more accurate insights and scalable AI adoption without the need for legacy MDM approaches. * Operational Decisioning at Scale: Enhancements that allow organizations to embed decision intelligence directly into workflows, accelerating time to value and business outcomes. Strategic Partnership with Moody's Quantexa is also announcing a strategic partnership with Moody's at the event, to help financial institutions better understand and manage risk in an increasingly complex global environment. Under the agreement, Quantexa will integrate its graph technology with Moody's data to provide an updated view of people, companies, and relationships across the global business ecosystem. By combining trusted data with advanced contextual analytics, the partnership will embed decision-grade intelligence directly into workflows to help customers move from insights to actions with clarity and precision while maintaining trust, transparency, and regulatory confidence. "A clear and holistic view of business relationships is essential for managing interconnected risks with consistency, accountability, and confidence," said Andrew Bockelman, Head of Banking Solutions at Moody's. "By expanding our partnership with Quantexa, we're helping organizations move from fragmented risk views to a best-in-class enterprise-wide risk management framework." Partner Ecosystem Momentum Driving Global Adoption Quantexa will also recognize strategic partners accelerating the adoption of Decision Intelligence worldwide, highlighting organizations delivering innovation, scalable solutions, and measurable customer impact across regions. * KPMG: Innovation Partner of the Year Advancing Decision Intelligence through next generation managed digital forensics and automated graph analytics, setting new standards for investigative speed, scale, and accuracy. * PwC: Growth Partner of the Year Driving strong global and regional momentum with industrialized solutions, cross-border collaboration, and scalable frameworks that expand enterprise adoption. * Deloitte: Americas Partner of the Year 2026 Expanding Decision Intelligence across public and commercial sectors through deep technical expertise, strong regional leadership, and high-quality delivery at scale. * NTT Data Luweave: APAC Partner of the Year Enabling breakthrough market expansion in Japan and advancing adoption across APAC through trusted local delivery and strong ecosystem advocacy. * PwC: Quantexa EMEA Partner of the Year 2026 Driving measurable impact and outstanding value for organizations across EMEA and accelerating adoption of Decision Intelligence through integrated, outcome-focused solutions. QuanCon: Shaping the Future of Decision Intelligence in the Era of AI QuanCon 2026 brings together executives, technologists, and industry leaders from across the globe to explore how contextual data and AI are redefining enterprise transformation. The event will stream live online at 11 a.m. EST (4 p.m. GMT) and will be available on demand for 90 days after the live event. To register, visit https://www.quancon.com/. About Quantexa Quantexa is a global data, analytics, and AI software company pioneering Decision Intelligence to help organizations make confident decisions with contextual data. Using the latest advancements in AI, its Decision Intelligence Platform transforms siloed data into connected, contextual insights to empower the shift from a data-driven to a decision-centric organization. Its customers use Quantexa technology to protect, optimize, and grow by solving complex challenges across the entire organization through modern data management, customer intelligence, KYC, financial and economic crime, risk, fraud, and security. The Quantexa Decision Intelligence Platform enhances operational performance with over 90% more accuracy and 60 times faster analytical model resolution than traditional approaches. An independently commissioned Forrester TEI study found that customers achieved a 228% ROI over three years. Founded in 2016, Quantexa has over 900 employees and tens of thousands of users globally, working with billions of data points across the world. For more information, visit www.quantexa.com or follow Connectweb on LinkedIn. Media Inquiries Michael Lane VP of External Communications +1-917-450-7387 [email protected] Ben Davies SourceCode Communications for Quantexa (+44)-7963-558122 [email protected]
News & articles. At ConnectWeb Connectweb has a team of editors and researchers collating the most relevant information to you and your industry. All Directories' publications and sites provide a wealth of information for research or marketing, and are used by public and corporate libraries, educational institutions, government departments, corporations and SMEs across the country. You are here: Home News Quantexa recognized as a Leader in 2026 Gartner(R) Magic Quadrant(TM) for Decision Intelligence Platforms. LONDON, Jan. 29, 2026 (GLOBE NEWSWIRE) - Quantexa, a global pioneer in Decision Intelligence, today announced it has been named a Leader in the 2026 Gartner(R) Magic Quadrant(TM) for Decision Intelligence Platforms. The inaugural Gartner report introduces the Decision Intelligence Platform category and provides a detailed overview of the market and evaluates vendors on their Completeness of Vision and Ability to Execute. Quantexa was placed furthest to the right for Completeness of Vision which the company believes demonstrates the strength, maturity, and enterprise readiness of its Decision Intelligence Platform in helping organizations operationalize trusted decisions at scale. "Quantexa has led the way in decision intelligence since its inception, guided by an unwavering commitment to bring innovation and confidence in decision-making to every industry in the world," said Vishal Marria, Founder and CEO of Quantexa. "As the industry transitions from early AI adoption to today's agentic-enabled future, our platform continues to deliver trusted, contextual decision insights that drive real business outcomes. To us, being named a Leader in the 2026 Gartner Magic Quadrant for Decision Intelligence Platforms validates our vision and the accelerating demand for solutions that add context and enable humans and AI teaming to deliver measurable impact." Financial service organizations (banks and insurers) and the public sector are increasingly turning to context-rich decision intelligence to improve operational efficiency and strategic outcomes. Quantexa's Decision Intelligence Platform provides a trusted, contextual, and AI-ready data foundation that enables faster, smarter, and more confident decisions across complex and highly regulated environments. Quantexa recently introduced Quantexa AI, the agentic-ready evolution of its Decision Intelligence Platform, enabling both humans and AI agents to interact with data in context to support, augment, and automate critical decisions. Quantexa continues to invest in domain-specific innovations and accelerated time-to-value deployment, bringing contextual expertise to core business functions such as customer intelligence, compliance, and decision governance. Read the full 2026 Gartner Magic Quadrant for Decision Intelligence Platforms report to learn how Quantexa was named as a Leader in this emerging and critical category. Gartner Disclaimer Gartner(R) Magic Quadrant(TM) for Decision Intelligence Platforms, David Pidsley, Carlie Idoine, Kevin R. Quinn, Gareth Herschel, Kjell Carlsson, Ph.D. 26 January 2026. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, express or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. About Quantexa Quantexa is a global data, analytics, and AI software company pioneering Decision Intelligence to help organizations make confident decisions with contextual data. Using the latest advancements in AI, its Decision Intelligence Platform transforms siloed data into connected, contextual insights to empower the shift from a data-driven to a decision-centric organization. Its customers use Quantexa technology to protect, optimize, and grow by solving complex challenges across the entire organization through modern data management, customer intelligence, KYC, financial and economic crime, risk, fraud, and security. The Quantexa Decision Intelligence Platform enhances operational performance with over 90% more accuracy and 60 times faster analytical model resolution than traditional approaches. An independently commissioned Forrester TEI study found that customers achieved a 228% ROI over three years. Founded in 2016, Quantexa has over 900 employees and tens of thousands of users globally, working with billions of data points across the world. For more information, visit www.quantexa.com or follow Connectweb on LinkedIn. ConnectWeb. ConnectWeb is Australia's leading publisher of biographical data, directories and specialist newsletters. With ConnectWeb you gain access to its comprehensive database of contacts and companies in media, government and associations.
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Industries
Data & Analytics
Government & Public Sector
Enterprise Software
Financial Services
Company Size
501-1,000
Company Stage
Series F
Total Funding
$545M
Headquarters
London, United Kingdom
Founded
2016
Find jobs on Simplify and start your career today