[{"data":1,"prerenderedAt":909},["ShallowReactive",2],{"KaPMeVnodv":3,"03HSTNoUXI":59,"I0fx4WtnWI":130,"JTbsVffizJ":138,"9trKdP2wkm":368,"_apollo:default":908},{"post":4},{"id":5,"elementorData":6,"content":7,"layout":8,"title":9,"date":10,"featuredImage":11,"categories":16,"seo":23,"__typename":58},"cG9zdDozMjk0Nw==","[{\"id\":\"88ace04\",\"elType\":\"section\",\"settings\":{\"pp_animated_gradient_bg_color_list\":[{\"pp_animated_gradient_bg_color\":\"#F6AD1F\",\"_id\":\"a52ae3f\"},{\"pp_animated_gradient_bg_color\":\"#F7496A\",\"_id\":\"78565a6\"},{\"pp_animated_gradient_bg_color\":\"#565AD8\",\"_id\":\"c4dc056\"}],\"pp_display_conditions\":[{\"_id\":\"814a451\"}]},\"elements\":[{\"id\":\"0a43839\",\"elType\":\"column\",\"settings\":{\"_column_size\":100,\"_inline_size\":null,\"pp_display_conditions\":[{\"_id\":\"427ab92\"}]},\"elements\":[{\"id\":\"172cf96\",\"elType\":\"widget\",\"settings\":{\"editor\":\"\u003Cp data-pm-slice=\\\"1 1 []\\\">Linkurious, a Nuix company, has been recognized as a \u003Cstrong>Category Leader \u003C\\/strong>in the Chartis Research's\\u00a0\u003Ca href=\\\"https:\\/\\/www.chartis-research.com\\/financial-crime\\/anti-money-laundering-aml\\/7947544\\/aml-transaction-monitoring-solutions-2026-quadrant-update\\\" target=\\\"_blank\\\" rel=\\\"noopener\\\">\u003Cb>AML Transaction Monitoring Solutions, 2026: Quadrant Update\u003C\\/b>\u003C\\/a>.\u003C\\/p>\u003Cp>This marks a significant milestone for Linkurious, which has advanced from its previous \u003Ca href=\\\"\\/2024\\/11\\/18\\/chartis-quadrant-transaction-monitoring-solutions-2024\\/\\\" target=\\\"_blank\\\" rel=\\\"noopener\\\">\u003Cem>Best of Breed\u003C\\/em> recognition\u003C\\/a> in previous years to \u003Cem>Category Leader\u003C\\/em> in 2026, placing it alongside some of the most established technology providers in the \u003Ca href=\\\"\\/transaction-monitoring-in-aml\\/\\\" target=\\\"_blank\\\" rel=\\\"noopener\\\">AML transaction monitoring\u003C\\/a> market.\u003C\\/p>\u003Cp>The recognition highlights the continued evolution of Linkurious's graph intelligence capabilities and the growing role of connected data in detecting and investigating complex financial crime.\u003C\\/p>\",\"pp_display_conditions\":[{\"_id\":\"0f5cc91\"}],\"pp_elements_tooltip_content\":\"Tooltip Content\"},\"elements\":[],\"widgetType\":\"text-editor\"},{\"id\":\"8736562\",\"elType\":\"widget\",\"settings\":{\"title\":\"Why Chartis recognized Linkurious as a Category Leader\",\"pp_display_conditions\":[{\"_id\":\"edf1c5c\"}],\"pp_elements_tooltip_content\":\"Tooltip Content\"},\"elements\":[],\"widgetType\":\"heading\"},{\"id\":\"d770b46\",\"elType\":\"widget\",\"settings\":{\"editor\":\"\u003Cp data-pm-slice=\\\"1 2 []\\\">Chartis Research evaluates AML technology providers based on their completeness of offering and market potential, providing financial institutions with an independent assessment of the vendor landscape.\u003C\\/p>\\n\u003Cp>Linkurious's progression to Category Leader reflects its continued investment in graph intelligence and its ability to address increasingly complex AML requirements.\u003C\\/p>\\n\u003Cp>\u003Cem>\\u201cLinkurious was named a Category Leader in Chartis Research\\u2019s AML Transaction Monitoring Solutions: Quadrant Update, 2026, due in part to its data integration and risk typology identification capabilities. The company's progression reflects continued improvements in its solution's performance, speed and scalability, as well as its graph-based capabilities, which are becoming increasingly important in AML technology,\\u201d\u003C\\/em> said Sean O'Malley, Research Director for Financial Crime and Control at Chartis Research.\u003C\\/p>\\n\u003Cp>\u003Cem>\\u201cThe ongoing shift in AML transaction monitoring from data-focused to intelligence-focused employs user-friendly graph intelligence that helps to connect data and aid analysts and investigators. By providing a more comprehensive view, additional context and new risk-based signals, investigators can make decisions on their investigations with increased confidence.\\u201d\u003C\\/em>\u003C\\/p>\",\"pp_display_conditions\":[{\"_id\":\"b016e3c\"}],\"pp_elements_tooltip_content\":\"Tooltip Content\"},\"elements\":[],\"widgetType\":\"text-editor\"},{\"id\":\"97e1193\",\"elType\":\"widget\",\"settings\":{\"title\":\"Why graph intelligence matters for AML transaction monitoring\",\"pp_display_conditions\":[{\"_id\":\"fa70fe4\"}],\"pp_elements_tooltip_content\":\"Tooltip Content\"},\"elements\":[],\"widgetType\":\"heading\"},{\"id\":\"a70c1cf\",\"elType\":\"widget\",\"settings\":{\"editor\":\"\u003Cp data-pm-slice=\\\"1 1 []\\\">Money laundering rarely involves a single suspicious transaction. Sophisticated schemes can span multiple accounts, individuals, companies, and jurisdictions, with illicit activity concealed within networks of seemingly legitimate transactions.\u003C\\/p>\u003Cp>\u003Cspan class=\\\"TextRun SCXW187615914 BCX0\\\" lang=\\\"EN-US\\\" xml:lang=\\\"EN-US\\\" data-contrast=\\\"auto\\\">\u003Cspan class=\\\"NormalTextRun SCXW187615914 BCX0\\\">Traditional transaction monitoring systems can flag predefined anomalies, but \u003C\\/span>\u003Cspan class=\\\"NormalTextRun SCXW187615914 BCX0\\\">identifying\u003C\\/span>\u003Cspan class=\\\"NormalTextRun SCXW187615914 BCX0\\\"> the relationships and patterns behind complex criminal activity often requires \u003C\\/span>\u003Cspan class=\\\"NormalTextRun SCXW187615914 BCX0\\\">additional\u003C\\/span> \u003Cspan class=\\\"NormalTextRun SCXW187615914 BCX0\\\">contextual \u003C\\/span>\u003Cspan class=\\\"NormalTextRun SCXW187615914 BCX0\\\">analysis. This leaves AML teams dealing with high volumes of alerts, fragmented information, and time-consuming investigations.\u003C\\/span>\u003C\\/span>\u003Cspan class=\\\"EOP Selected SCXW187615914 BCX0\\\" data-ccp-props=\\\"{"134233117":false,"134233118":false,"335559738":240,"335559739":240}\\\">\\u00a0\u003C\\/span>\\u00a0\u003C\\/p>\u003Cp>Graph intelligence helps address these challenges by bringing relationships to the forefront of detection and investigation.\u003C\\/p>\u003Cp>With Linkurious, financial institutions can:\u003C\\/p>\u003Cul data-spread=\\\"false\\\">\u003Cli>\u003Cp>\u003Cstrong>Uncover hidden connections:\u003C\\/strong> identify direct and indirect relationships between customers, accounts, transactions, and other entities that may indicate suspicious activity.\u003C\\/p>\u003C\\/li>\u003Cli>\u003Cp>\u003Cstrong>Detect complex risk patterns:\u003C\\/strong> leverage graph analytics to identify potentially suspicious networks and money laundering typologies that individual transaction analysis may miss.\u003C\\/p>\u003C\\/li>\u003Cli>\u003Cp>\u003Cstrong>Investigate alerts faster:\u003C\\/strong> visually explore connected data, understand the broader context, and quickly follow investigative leads.\u003C\\/p>\u003C\\/li>\u003Cli>\u003Cp>\u003Cstrong>Improve investigative efficiency:\u003C\\/strong> help analysts prioritize relevant risks, reduce unnecessary investigative effort, and support more informed decisions.\u003C\\/p>\u003C\\/li>\u003Cli>\u003Cp>\u003Cstrong>Work with existing technology:\u003C\\/strong> integrate graph intelligence with transaction monitoring systems, graph databases, and other data sources.\u003C\\/p>\u003C\\/li>\u003C\\/ul>\u003Cp>These capabilities are already delivering measurable benefits for financial institutions. At \u003Ca href=\\\"\\/2025\\/01\\/23\\/ria-money-transfer-investigation-time\\/\\\">Ria Money Transfer\u003C\\/a>, for example, Linkurious has helped reduce the time required for complex investigations by 80%, enabling compliance teams to investigate suspicious activity more efficiently.\u003C\\/p>\",\"pp_display_conditions\":[{\"_id\":\"a8baf71\"}],\"pp_elements_tooltip_content\":\"Tooltip Content\"},\"elements\":[],\"widgetType\":\"text-editor\"},{\"id\":\"c2cd7f4\",\"elType\":\"widget\",\"settings\":{\"title\":\"Strengthening financial crime intelligence with Nuix\",\"pp_display_conditions\":[{\"_id\":\"a863d49\"}],\"pp_elements_tooltip_content\":\"Tooltip Content\"},\"elements\":[],\"widgetType\":\"heading\"},{\"id\":\"76b33f9\",\"elType\":\"widget\",\"settings\":{\"editor\":\"\u003Cp>\u003Cspan data-contrast=\\\"auto\\\">The integration of Linkurious's graph visualization and analytics capabilities into Nuix's unstructured data intelligence platform creates new opportunities for financial institutions to detect and investigate complex financial crime.\u003C\\/span>\u003Cspan data-ccp-props=\\\"{"134233117":false,"134233118":false,"335551550":0,"335551620":0,"335559738":240,"335559739":240}\\\">\\u00a0\u003C\\/span>\u003C\\/p>\u003Cp>\u003Cspan data-contrast=\\\"auto\\\">Financial institutions rely heavily on structured data, such as transactions, accounts, and customer records, to identify suspicious activity. Yet valuable intelligence also lies in unstructured data, including emails, documents, communications, and other files. This information can reveal important details about the individuals, organizations, and activities involved in financial crime schemes, but is often difficult to access and connect with existing AML data.\u003C\\/span>\u003Cspan data-ccp-props=\\\"{"134233117":false,"134233118":false,"335551550":0,"335551620":0,"335559738":240,"335559739":240}\\\">\\u00a0\u003C\\/span>\u003C\\/p>\u003Cp>\u003Cspan data-contrast=\\\"auto\\\">Nuix Neo helps unlock the value of this information\u003C\\/span>\u003Cspan data-contrast=\\\"auto\\\"> by processing and analyzing large volumes of unstructured data and extracting relevant entities, relationships, and other intelligence. Combined with Linkurious's graph visualization and analytics capabilities, this enriched information can be connected with transactional and customer data to reveal hidden relationships, expose suspicious networks, and provide investigators with a more complete picture of potential financial crime.\u003C\\/span>\u003Cspan data-ccp-props=\\\"{"134233117":false,"134233118":false,"335551550":0,"335551620":0,"335559738":240,"335559739":240}\\\">\\u00a0\u003C\\/span>\u003C\\/p>\u003Cp>\u003Cspan data-contrast=\\\"auto\\\">For AML teams, this means greater visibility into complex money laundering schemes, richer investigative context, and the ability to make more informed, defensible decisions.\u003C\\/span>\u003Cspan data-ccp-props=\\\"{"134233117":false,"134233118":false,"335551550":0,"335551620":0,"335559738":240,"335559739":240}\\\">\\u00a0\u003C\\/span>\u003C\\/p>\u003Cp>\u003Cspan class=\\\"TextRun SCXW247459832 BCX0\\\" lang=\\\"EN-US\\\" xml:lang=\\\"EN-US\\\" data-contrast=\\\"auto\\\">\u003Cspan class=\\\"NormalTextRun SCXW247459832 BCX0\\\">Chartis's recognition as a Category Leader marks an important milestone for \u003C\\/span>\u003Cspan class=\\\"NormalTextRun SpellingErrorV2Themed SCXW247459832 BCX0\\\">Linkurious\u003C\\/span>\u003Cspan class=\\\"NormalTextRun SCXW247459832 BCX0\\\">. It also reinforces our ambition within Nuix: to help financial institutions make better use of their data, understand complex networks, and uncover financial crime that might otherwise remain hidden.\u003C\\/span>\u003C\\/span>\u003C\\/p>\u003Cp>\u003Cspan class=\\\"TextRun SCXW247459832 BCX0\\\" lang=\\\"EN-US\\\" xml:lang=\\\"EN-US\\\" data-contrast=\\\"auto\\\">\u003Cspan class=\\\"NormalTextRun SCXW247459832 BCX0\\\">Ultimately, we\u003C\\/span>\u003Cspan class=\\\"NormalTextRun SCXW247459832 BCX0\\\"> believe technology can be a force for good, empowering those fighting financial crime to protect institutions, communities, and society at large.\u003C\\/span>\u003C\\/span>\u003Cspan class=\\\"EOP Selected SCXW247459832 BCX0\\\" data-ccp-props=\\\"{"134233117":false,"134233118":false,"335551550":0,"335551620":0,"335559738":240,"335559739":240}\\\">\\u00a0\u003C\\/span>\u003C\\/p>\u003Cp>\u003Cspan data-contrast=\\\"auto\\\">To learn more about Nuix and Nuix Neo platform, contact us or visit \u003Ca href=\\\"http:\\/\\/www.nuix.com\\\" target=\\\"_blank\\\" rel=\\\"noopener\\\">Nuix website\u003C\\/a>. \u003C\\/span>\u003Cspan data-ccp-props=\\\"{"134233117":false,"134233118":false,"335551550":0,"335551620":0,"335559738":240,"335559739":240}\\\">\\u00a0\u003C\\/span>\u003C\\/p>\",\"pp_display_conditions\":[{\"_id\":\"4392375\"}],\"pp_elements_tooltip_content\":\"Tooltip Content\"},\"elements\":[],\"widgetType\":\"text-editor\"}],\"isInner\":false}],\"isInner\":false}]","\t\t\u003Cdiv data-elementor-type=\"wp-post\" data-elementor-id=\"32947\" class=\"elementor elementor-32947\">\n\t\t\t\t\t\t\u003Csection class=\"elementor-section elementor-top-section elementor-element elementor-element-88ace04 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"88ace04\" data-element_type=\"section\">\n\t\t\t\t\t\t\u003Cdiv class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t\u003Cdiv class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-0a43839\" data-id=\"0a43839\" data-element_type=\"column\">\n\t\t\t\u003Cdiv class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\n\t\t\u003Cdiv class=\"elementor-element elementor-element-172cf96 elementor-widget elementor-widget-text-editor\" data-id=\"172cf96\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\u003Cdiv class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\u003Cp data-pm-slice=\"1 1 []\">Linkurious, a Nuix company, has been recognized as a \u003Cstrong>Category Leader \u003C/strong>in the Chartis Research’s \u003Ca href=\"https://www.chartis-research.com/financial-crime/anti-money-laundering-aml/7947544/aml-transaction-monitoring-solutions-2026-quadrant-update\" target=\"_blank\" rel=\"noopener\">\u003Cb>AML Transaction Monitoring Solutions, 2026: Quadrant Update\u003C/b>\u003C/a>.\u003C/p>\u003Cp>This marks a significant milestone for Linkurious, which has advanced from its previous \u003Ca href=\"/2024/11/18/chartis-quadrant-transaction-monitoring-solutions-2024/\" target=\"_blank\" rel=\"noopener\">\u003Cem>Best of Breed\u003C/em> recognition\u003C/a> in previous years to \u003Cem>Category Leader\u003C/em> in 2026, placing it alongside some of the most established technology providers in the \u003Ca href=\"/transaction-monitoring-in-aml/\" target=\"_blank\" rel=\"noopener\">AML transaction monitoring\u003C/a> market.\u003C/p>\u003Cp>The recognition highlights the continued evolution of Linkurious’s graph intelligence capabilities and the growing role of connected data in detecting and investigating complex financial crime.\u003C/p>\t\t\t\t\t\t\t\t\u003C/div>\n\t\t\t\t\u003C/div>\n\t\t\t\t\u003Cdiv class=\"elementor-element elementor-element-8736562 elementor-widget elementor-widget-heading\" data-id=\"8736562\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\u003Cdiv class=\"elementor-widget-container\">\n\t\t\t\t\t\u003Ch2 class=\"elementor-heading-title elementor-size-default\">Why Chartis recognized Linkurious as a Category Leader\u003C/h2>\t\t\t\t\u003C/div>\n\t\t\t\t\u003C/div>\n\t\t\t\t\u003Cdiv class=\"elementor-element elementor-element-d770b46 elementor-widget elementor-widget-text-editor\" data-id=\"d770b46\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\u003Cdiv class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\u003Cp data-pm-slice=\"1 2 []\">Chartis Research evaluates AML technology providers based on their completeness of offering and market potential, providing financial institutions with an independent assessment of the vendor landscape.\u003C/p>\n\u003Cp>Linkurious’s progression to Category Leader reflects its continued investment in graph intelligence and its ability to address increasingly complex AML requirements.\u003C/p>\n\u003Cp>\u003Cem>“Linkurious was named a Category Leader in Chartis Research’s AML Transaction Monitoring Solutions: Quadrant Update, 2026, due in part to its data integration and risk typology identification capabilities. The company’s progression reflects continued improvements in its solution’s performance, speed and scalability, as well as its graph-based capabilities, which are becoming increasingly important in AML technology,”\u003C/em> said Sean O’Malley, Research Director for Financial Crime and Control at Chartis Research.\u003C/p>\n\u003Cp>\u003Cem>“The ongoing shift in AML transaction monitoring from data-focused to intelligence-focused employs user-friendly graph intelligence that helps to connect data and aid analysts and investigators. By providing a more comprehensive view, additional context and new risk-based signals, investigators can make decisions on their investigations with increased confidence.”\u003C/em>\u003C/p>\t\t\t\t\t\t\t\t\u003C/div>\n\t\t\t\t\u003C/div>\n\t\t\t\t\u003Cdiv class=\"elementor-element elementor-element-97e1193 elementor-widget elementor-widget-heading\" data-id=\"97e1193\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\u003Cdiv class=\"elementor-widget-container\">\n\t\t\t\t\t\u003Ch2 class=\"elementor-heading-title elementor-size-default\">Why graph intelligence matters for AML transaction monitoring\u003C/h2>\t\t\t\t\u003C/div>\n\t\t\t\t\u003C/div>\n\t\t\t\t\u003Cdiv class=\"elementor-element elementor-element-a70c1cf elementor-widget elementor-widget-text-editor\" data-id=\"a70c1cf\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\u003Cdiv class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\u003Cp data-pm-slice=\"1 1 []\">Money laundering rarely involves a single suspicious transaction. Sophisticated schemes can span multiple accounts, individuals, companies, and jurisdictions, with illicit activity concealed within networks of seemingly legitimate transactions.\u003C/p>\u003Cp>\u003Cspan class=\"TextRun SCXW187615914 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\">\u003Cspan class=\"NormalTextRun SCXW187615914 BCX0\">Traditional transaction monitoring systems can flag predefined anomalies, but \u003C/span>\u003Cspan class=\"NormalTextRun SCXW187615914 BCX0\">identifying\u003C/span>\u003Cspan class=\"NormalTextRun SCXW187615914 BCX0\"> the relationships and patterns behind complex criminal activity often requires \u003C/span>\u003Cspan class=\"NormalTextRun SCXW187615914 BCX0\">additional\u003C/span> \u003Cspan class=\"NormalTextRun SCXW187615914 BCX0\">contextual \u003C/span>\u003Cspan class=\"NormalTextRun SCXW187615914 BCX0\">analysis. This leaves AML teams dealing with high volumes of alerts, fragmented information, and time-consuming investigations.\u003C/span>\u003C/span>\u003Cspan class=\"EOP Selected SCXW187615914 BCX0\" data-ccp-props=\"{"134233117":false,"134233118":false,"335559738":240,"335559739":240}\"> \u003C/span> \u003C/p>\u003Cp>Graph intelligence helps address these challenges by bringing relationships to the forefront of detection and investigation.\u003C/p>\u003Cp>With Linkurious, financial institutions can:\u003C/p>\u003Cul data-spread=\"false\">\u003Cli>\u003Cp>\u003Cstrong>Uncover hidden connections:\u003C/strong> identify direct and indirect relationships between customers, accounts, transactions, and other entities that may indicate suspicious activity.\u003C/p>\u003C/li>\u003Cli>\u003Cp>\u003Cstrong>Detect complex risk patterns:\u003C/strong> leverage graph analytics to identify potentially suspicious networks and money laundering typologies that individual transaction analysis may miss.\u003C/p>\u003C/li>\u003Cli>\u003Cp>\u003Cstrong>Investigate alerts faster:\u003C/strong> visually explore connected data, understand the broader context, and quickly follow investigative leads.\u003C/p>\u003C/li>\u003Cli>\u003Cp>\u003Cstrong>Improve investigative efficiency:\u003C/strong> help analysts prioritize relevant risks, reduce unnecessary investigative effort, and support more informed decisions.\u003C/p>\u003C/li>\u003Cli>\u003Cp>\u003Cstrong>Work with existing technology:\u003C/strong> integrate graph intelligence with transaction monitoring systems, graph databases, and other data sources.\u003C/p>\u003C/li>\u003C/ul>\u003Cp>These capabilities are already delivering measurable benefits for financial institutions. At \u003Ca href=\"/2025/01/23/ria-money-transfer-investigation-time/\">Ria Money Transfer\u003C/a>, for example, Linkurious has helped reduce the time required for complex investigations by 80%, enabling compliance teams to investigate suspicious activity more efficiently.\u003C/p>\t\t\t\t\t\t\t\t\u003C/div>\n\t\t\t\t\u003C/div>\n\t\t\t\t\u003Cdiv class=\"elementor-element elementor-element-c2cd7f4 elementor-widget elementor-widget-heading\" data-id=\"c2cd7f4\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\u003Cdiv class=\"elementor-widget-container\">\n\t\t\t\t\t\u003Ch2 class=\"elementor-heading-title elementor-size-default\">Strengthening financial crime intelligence with Nuix\u003C/h2>\t\t\t\t\u003C/div>\n\t\t\t\t\u003C/div>\n\t\t\t\t\u003Cdiv class=\"elementor-element elementor-element-76b33f9 elementor-widget elementor-widget-text-editor\" data-id=\"76b33f9\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\u003Cdiv class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\u003Cp>\u003Cspan data-contrast=\"auto\">The integration of Linkurious’s graph visualization and analytics capabilities into Nuix’s unstructured data intelligence platform creates new opportunities for financial institutions to detect and investigate complex financial crime.\u003C/span>\u003Cspan data-ccp-props=\"{"134233117":false,"134233118":false,"335551550":0,"335551620":0,"335559738":240,"335559739":240}\"> \u003C/span>\u003C/p>\u003Cp>\u003Cspan data-contrast=\"auto\">Financial institutions rely heavily on structured data, such as transactions, accounts, and customer records, to identify suspicious activity. Yet valuable intelligence also lies in unstructured data, including emails, documents, communications, and other files. This information can reveal important details about the individuals, organizations, and activities involved in financial crime schemes, but is often difficult to access and connect with existing AML data.\u003C/span>\u003Cspan data-ccp-props=\"{"134233117":false,"134233118":false,"335551550":0,"335551620":0,"335559738":240,"335559739":240}\"> \u003C/span>\u003C/p>\u003Cp>\u003Cspan data-contrast=\"auto\">Nuix Neo helps unlock the value of this information\u003C/span>\u003Cspan data-contrast=\"auto\"> by processing and analyzing large volumes of unstructured data and extracting relevant entities, relationships, and other intelligence. Combined with Linkurious’s graph visualization and analytics capabilities, this enriched information can be connected with transactional and customer data to reveal hidden relationships, expose suspicious networks, and provide investigators with a more complete picture of potential financial crime.\u003C/span>\u003Cspan data-ccp-props=\"{"134233117":false,"134233118":false,"335551550":0,"335551620":0,"335559738":240,"335559739":240}\"> \u003C/span>\u003C/p>\u003Cp>\u003Cspan data-contrast=\"auto\">For AML teams, this means greater visibility into complex money laundering schemes, richer investigative context, and the ability to make more informed, defensible decisions.\u003C/span>\u003Cspan data-ccp-props=\"{"134233117":false,"134233118":false,"335551550":0,"335551620":0,"335559738":240,"335559739":240}\"> \u003C/span>\u003C/p>\u003Cp>\u003Cspan class=\"TextRun SCXW247459832 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\">\u003Cspan class=\"NormalTextRun SCXW247459832 BCX0\">Chartis’s recognition as a Category Leader marks an important milestone for \u003C/span>\u003Cspan class=\"NormalTextRun SpellingErrorV2Themed SCXW247459832 BCX0\">Linkurious\u003C/span>\u003Cspan class=\"NormalTextRun SCXW247459832 BCX0\">. It also reinforces our ambition within Nuix: to help financial institutions make better use of their data, understand complex networks, and uncover financial crime that might otherwise remain hidden.\u003C/span>\u003C/span>\u003C/p>\u003Cp>\u003Cspan class=\"TextRun SCXW247459832 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\">\u003Cspan class=\"NormalTextRun SCXW247459832 BCX0\">Ultimately, we\u003C/span>\u003Cspan class=\"NormalTextRun SCXW247459832 BCX0\"> believe technology can be a force for good, empowering those fighting financial crime to protect institutions, communities, and society at large.\u003C/span>\u003C/span>\u003Cspan class=\"EOP Selected SCXW247459832 BCX0\" data-ccp-props=\"{"134233117":false,"134233118":false,"335551550":0,"335551620":0,"335559738":240,"335559739":240}\"> \u003C/span>\u003C/p>\u003Cp>\u003Cspan data-contrast=\"auto\">To learn more about Nuix and Nuix Neo platform, contact us or visit \u003Ca href=\"http://www.nuix.com\" target=\"_blank\" rel=\"noopener\">Nuix website\u003C/a>. \u003C/span>\u003Cspan data-ccp-props=\"{"134233117":false,"134233118":false,"335551550":0,"335551620":0,"335559738":240,"335559739":240}\"> \u003C/span>\u003C/p>\t\t\t\t\t\t\t\t\u003C/div>\n\t\t\t\t\u003C/div>\n\t\t\t\t\t\u003C/div>\n\t\t\u003C/div>\n\t\t\t\t\t\u003C/div>\n\t\t\u003C/section>\n\t\t\t\t\u003C/div>\n\t\t","","Linkurious named Category Leader in Chartis AML Transaction Monitoring 2026 report","2026-10-27T09:49:27",{"node":12,"__typename":15},{"sourceUrl":13,"__typename":14},"/images/uploads/2026/10/Blog-img-2.png","MediaItem","NodeWithFeaturedImageToMediaItemConnectionEdge",{"nodes":17,"__typename":22},[18],{"name":19,"slug":20,"__typename":21},"About Linkurious","about-linkurious","Category","PostToCategoryConnection",{"title":9,"description":24,"canonicalUrl":25,"focusKeywords":26,"fullHead":29,"robots":30,"jsonLd":36,"openGraph":39,"__typename":57},"Linkurious named Category Leader in the Chartis AML 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