Quantexa, a global leader in Decision Intelligence solutions for both public and private sectors, has announced a series of groundbreaking updates and enhancements to its platform at QuanCon25. Hosted at Tobacco Dock in London, the annual customer and partner event underscored Quantexa’s commitment to enabling organizations to make their data AI-ready, eliminate operational silos, and revolutionize decision-making in the era of artificial intelligence.
Advancing the Future of Decision Intelligence
At the heart of Quantexa’s innovation lies its Decision Intelligence Platform, powered by its Contextual Fabric technology. This platform empowers organizations to:
- Consolidate fragmented data with industry-leading entity resolution and graph technology.
- Enrich data with contextual insights to create real-world representations of connections and relationships that impact businesses.
- Leverage contextual analytics to enhance generative AI (Gen AI) capabilities, fostering smarter and more transformative decision-making across enterprises.
Unveiling Powerful New Capabilities
Dan Higgins, Chief Product Officer at Quantexa, introduced several key enhancements to the Decision Intelligence Platform:
- Advanced Language Parser – Now supporting non-Latin scripts such as Japanese, with Chinese and Arabic support on the horizon, enabling seamless multilingual data processing.
- Scalable Knowledge Graph – Designed to connect over a billion nodes, offering deep visibility into hidden risks and growth opportunities.
- Real-Time Entity Streaming – Providing state-of-the-art insights for fraud detection, Know Your Customer (KYC), and Master Data Management (MDM) through ultra-high-volume data streaming.
- Enhanced User Experience – A refined search and localization interface that allows users to interact in their native language, improving engagement and reducing onboarding time.
Looking Ahead to 2025: Major Platform Innovations
Higgins also previewed several significant advancements slated for 2025:
- Expanded Support for Unstructured Data – New Natural Language Processing (NLP) networks to manage and analyze unstructured data across multiple languages.
- Contextual Insights from Internal Documents – Integrating unstructured data from intelligence reports, Open Source Intelligence (OSINT), and news content.
- Efficient LLM Performance – Utilizing fine-tuning and refinement techniques to enhance large language models (LLMs) with localized efficiency.
- Enhanced Workflow and Case Management – Introducing streamlined workflows to improve decision-making, increase collaboration, and enhance auditability across critical business processes such as data surveillance, suspicious activity reporting (SAR), and claims processing.
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Transforming Data Management with AI
Quantexa is modernizing data management by transitioning from traditional methods to a contextual fabric approach. This shift enables:
- AI-driven data quality assessments and automated root cause analysis.
- Improved trust, accuracy, and accessibility of enterprise-wide data.
Demonstrating Business Impact
To quantify the value of its Decision Intelligence Platform, Quantexa commissioned a Total Economic Impact study conducted by Forrester. The study, which analyzed implementations across banking, insurance, telecommunications, and the public sector, revealed significant benefits, including:
- Nearly $8 million in data management efficiency savings.
- Approximately $15 million in operational cost reductions.
- Over $19 million in risk mitigation and compliance savings.
Quantexa’s Founder & CEO, Vishal Marria, emphasized: “These results show that when your data is trusted and contextualized, it drives better decision-making and significant profit impact in the AI era.”
Expanding AI and Cloud Solutions
Quantexa reinforced its leadership in AI-driven decision intelligence with two major announcements:
- Q Assist – A suite of context-aware generative AI solutions designed to democratize access to trusted data, enhance decision-making, and provide real-time insights to frontline teams. Early Access launches in April 2025.
- Quantexa Cloud – A suite of native SaaS industry solutions, including Quantexa Cloud AML on Microsoft Azure, now available for Customer Preview. Developed in collaboration with mid-sized and community banks in the US, this solution accelerates anti-money laundering (AML) workflows and enhances compliance processes.
Jamie Hutton, Quantexa’s Chief Technology Officer, showcased a live demonstration illustrating how the platform is transforming financial crime detection by consolidating disparate data into actionable intelligence.
Strengthening Strategic Alliances
Quantexa also underscored its expanding partnership with Microsoft, which has resulted in pioneering industry solutions within the Azure Marketplace. Key developments include:
- Quantexa Unify Workload for Microsoft Fabric – A solution designed to improve data quality and break down silos within a unified, scalable platform.
- Customer Success Stories – Organizations such as HSBC, Novobanco, and RSA are leveraging Quantexa and Microsoft technologies to accelerate their data and AI transformation journeys.
Introducing Q Labs: Accelerating Innovation
Quantexa officially launched Q Labs, a dedicated hub for driving innovation from concept to commercialization. Q Labs is focused on exploring emerging technologies, accelerating product development, and solving complex customer challenges.
Among its initiatives, Q Labs is spearheading:
- Simulation Lab – Allowing businesses to model real-world scenarios before making critical decisions.
- Supply Chain Intelligence – Utilizing AI to create more intelligent and resilient supply chains.
Parsa Ghaffari, Head of Product Innovation at Quantexa, shared: “Working closely with our engineering and GTM organizations, we transform innovative ideas into real-world impact — empowering our customers and partners to take the next step boldly and faster than ever before.”