공시 • Jun 23
Integrated Research Announces Iris for Card Payments Integrated Research announced Iris for Card Payments, the AI-powered assistant designed to help payments teams detect issues earlier, understand their impact faster, and act before revenue and customer trust are at risk. As card payments environments grow in scale and complexity, issues can cascade in minutes. Transaction volumes spike, dependencies multiply, and even highly experienced teams can struggle to correlate schemes, response codes, flows, and performance metrics in real-time. AI-powered observability can unlock faster, deeper insight for payments teams at precisely the moment when clarity matters most. Via natural language prompts, Iris for Card Payments delivers real-time card payments insights, and is built on IR's core observability platform Prognosis which monitors over 80 billion transactions each year for some of the world's largest banks and financial institutions. Iris makes deep card payments expertise instantly accessible, reducing reliance on scarce specialists and building confidence 24/7. Iris understands card payments end-to-end, with built-in IR correlation logic to explain why something happened, not just what. Clear answers about transaction declines, approvals, volumes and performance - no syntax or dashboard stitching required. Iris for Card Payments is available from May 2026 in Beta to customers globally as part of the release of Prognosis 13.3. Future releases will extend Iris to High Value Payments and Real-Time Payments domains. 공시 • Jun 18
Integrated Research Announces Its Uc&C Observability Solution, Collaborate, Now Supports Nice Cxone Integrated Research announced that its UC&C observability solution, Collaborate, now supports NICE CXone, one of the world's most widely adopted cloud contact center platforms. Part of the release of Prognosis 13.3, IR's core observability platform, Collaborate now offers enterprise teams a single place to monitor performance and customer journeys across CXone, bring-your-own-carrier (BYOC) infrastructure, and multi-vendor UC platforms such as Microsoft Teams and Webex. With Prognosis 13.3, Collaborate ingests and correlates telemetry from NICE CXone, BYOC SBCs, and UC platforms into a single high-performance intelligence layer. This provides an end-to-end picture of each interaction, even as it moves between voice, digital channels and multiple systems. Key capabilities include: Multi-source data aggregation – Collaborate pulls in SBC metrics, UC call flows and third-party platform data alongside CXone events, giving operations teams one "source of truth" across their entire contact estate. Reporting built for operations – Real-time and historical dashboards help teams track skills performance, team workload, agent utilization, queue wait times and contact outcomes in one place, without stitching together multiple tools. Customer-centric analytics – Users can follow customer journeys across channels, analyze handle times, abandon rates and first-contact-resolution proxies, and pinpoint where interactions are breaking down. Pre-emptive alerting – Threshold-based alerts on wait times, queue volumes and agent utilization help IT and operations teams get ahead of potential SLA breaches, rather than reacting after customers complain. Historical depth – Prognosis 13.3 supports up to five years of history, enabling trend analysis, capacity planning and long-range SLA reporting for complex environments. As part of the release of Prognosis 13.3, Collaborate introduces unified Call Detail Record (CDR) search, a single database with AI-powered search, giving deeper visibility into interactions across any vendor. AI powered insight at individual call level is significant as IT teams must assess performance and experience at individual call level to identify root cause and to remediate issues. Using Iris, IR's conversational AI intelligence layer for multi-vendor UC&C observability, teams can now search a single CDR database that spans CXone, UC platforms, SBCs and other vendors instead of querying separate systems. 공시 • Jun 17
Integrated Research Announces the Launch of Iris for Nonstop, Extending Its Conversational AI Intelligence Layer to HPE Nonstop Environments Integrated Research announced the launch of Iris for Nonstop, extending its conversational AI intelligence layer to HPE Nonstop environments. Building on the success of Iris in multi-vendor unified communications and collaboration (UC&C) observability, IR has embedded Iris directly into the Prognosis Platform for HPE Nonstop. This allows IT teams, business application stakeholders and more to ask questions in natural language and receive immediate, context-rich answers about the health, performance and capacity of their Nonstop systems. AI-powered observability for always-on Nonstop environments. HPE Nonstop is a trusted platform for high-volume, always-on workloads in financial services, retail, telecommunications and other industries where downtime is not an option. IR's Infrastructure suite, powered by Prognosis, has long helped clients monitor, troubleshoot and optimize the performance and availability of these environments with real-time dashboards, alerting and automated reporting. Iris for Nonstop builds on this foundation by adding a conversational AI layer that: Answers complex questions in plain language – Operators can ask questions such as "Is CPU usage normal for this time period?" or "Can you show me the network traffic trends over the past 2 weeks?", and Iris will respond with explanations, context and recommended next steps.
Accelerates incident resolution – By synthesizing Prognosis' real-time telemetry into guided insights, Iris helps teams identify root causes faster, reducing mean time to resolution in high-stakes Nonstop environments. Democratizes Nonstop expertise – Iris makes Nonstop performance and capacity data accessible to broader IT, business and executive stakeholders, with easy-to-consume natural-language summaries and reports. Supports proactive capacity and batch planning – By leveraging Prognosis Infrastructure, Business Insight and Batch Manager capabilities, Iris can surface trends in capacity, usage patterns and batch workloads, helping teams plan ahead before issues impact production. Unified intelligence layer for hybrid Nonstop, from core to edge . As Nonstop clients adopt virtual Nonstop, cloud deployments and hybrid infrastructures spanning core and edge, the complexity of managing performance and capacity continues to grow. The combination of Prognosis Server on Nonstop, Prognosis Edge, and now Iris for Nonstop gives organizations a unified intelligence layer over their distributed, mission-critical environments. Iris for Nonstop is available now with Prognosis 13.3, for clients using IR Infrastructure and the Prognosis Platform for HPE Nonstop. Board Change • May 20
High number of new and inexperienced directors There are 4 new directors who have joined the board in the last 3 years. The company's board is composed of: 4 new directors. No experienced directors. 1 highly experienced director. Independent Non-Executive Chairman Peter Lloyd is the most experienced director on the board, commencing their role in 2010. The company’s lack of experienced directors is considered a risk according to the Simply Wall St Risk Model. Board Change • May 01
High number of new and inexperienced directors There are 4 new directors who have joined the board in the last 3 years. The company's board is composed of: 4 new directors. No experienced directors. 1 highly experienced director. Independent Non-Executive Chairman Peter Lloyd is the most experienced director on the board, commencing their role in 2010. The company’s lack of experienced directors is considered a risk according to the Simply Wall St Risk Model. 공시 • Feb 12
Integrated Research Limited to Report First Half, 2026 Results on Feb 26, 2026 Integrated Research Limited announced that they will report first half, 2026 results on Feb 26, 2026 