Konux Launches AI-Powered Predictive Maintenance in UK Rail

Konux Unveils CoBrix Predictive Maintenance System in the UK, Promising Enhanced Train Reliability. The AI-powered platform aims to forecast potential infrastructure failures months in advance, mitigating delays and improving operational efficiency for UK rail networks. The announcement was made on December 9, 2025.

Strategic Impact

Konux has officially launched its CoBrix platform in the UK, introducing a sophisticated predictive maintenance system designed to empower rail operators. The core functionality of CoBrix lies in its ability to anticipate potential infrastructure failures up to several months before they occur. This forward-looking approach is engineered to support proactive interventions, thereby reducing the frequency and impact of train delays and significantly enhancing overall reliability across the existing track infrastructure.

Operational Details

The CoBrix platform is fundamentally a modular system designed for comprehensive rail infrastructure management, leveraging advanced Artificial Intelligence (AI). A key feature highlighted by Konux is its capacity to integrate diverse asset data from multiple stakeholders. Crucially, this integration is achieved while meticulously maintaining data sovereignty for each participant, a critical factor that enables timely interventions before failures materialize. The platform’s architecture supports data federation, the deployment of reusable AI models, and the establishment of integration-ready workflows. Konux asserts that this flexible and secure approach allows rail operators to drive innovation at a faster pace without compromising control over their proprietary data.

Konux chairman Klaus Kleinfeld emphasized the transformative potential of CoBrix for the UK rail system, stating, “The UK rail system can leapfrog decades of incremental change by adopting collaborative, data-driven infrastructure management. CoBrix is built to integrate with existing systems, accelerate innovation, and deliver measurable results.” The company’s extensive experience across Europe, including the installation of 5,500 Internet of Things (IoT) sensors and the collection of over 375 million train traces, underpins its claims. Konux argues that by enabling targeted maintenance based on rigorous data analysis, rail operators can reallocate valuable budget and capacity to other critical areas. This insight is particularly relevant for the UK, where switch failures have consistently contributed to service disruptions.

Further endorsing the platform’s capabilities, Konux advisor and UK rail expert Steve Featherstone commented, “We can address some of the UK’s most persistent rail delays without laying a single new track. By combining AI, modular IoT, and a federated data platform, we can focus resources where they are most needed, improving punctuality and reducing costs.” The effectiveness of Konux’s approach is exemplified by its collaboration with Deutsche Bahn in Germany. This partnership involves monitoring over 1,620 railway switches, and seven years of continuous data collection have reportedly led to a 40% reduction in repair-related downtime and a more than 50% improvement in maintenance effectiveness. The predictive alerts generated by the CoBrix platform have demonstrably enabled operators to preempt potential switch failures, thereby averting service outages and mitigating operational risks. Significant financial benefits, including reduced Schedule 8 payments and fewer delay minutes, have also been documented.

Konux is actively pursuing pilot projects within the UK, engaging with a broad spectrum of rail operators, suppliers, and technology partners. Building upon its existing presence and partnerships in the UK, the company intends to expand its ecosystem to incorporate additional original equipment manufacturers (OEMs), sensor firms, and maintenance providers, further solidifying its commitment to the UK rail sector.