Munich, 23 October 2025: KONUX, a leading European AI scale-up transforming railway operations for a sustainable future, today announced the launch of its modular data intelligence platform KONUX CoBrix. The platform is designed to change how the rail industry innovates, operates and collaborates. KONUX CoBrix provides the foundational technology layer for rail operators, OEMs and technology partners to co-create rail infrastructure solutions faster, smarter and at scale. It directly addresses the industry’s pervasive challenges of siloed data, rigid legacy systems and slow innovation. The launch is relevant to UK rail, enabling operators to deploy predictive maintenance and advanced analytics without replacing existing systems or centralising sensitive data.
KONUX CoBrix is not merely a toolbox. It is a digital infrastructure foundation built to reduce friction, protect partner autonomy and support real-world implementation across rail networks. The platform relies on KONUX’s AI, sensor and data processing capabilities that have been built up through its proven switch solution, KONUX Switch, and multiple partner implementations. It connects sensor data, partner insights and AI models into one cohesive system, fostering an environment where intelligence comes to the data rather than requiring sensitive operational data to be transferred to external servers. This federated approach ensures data sovereignty while enabling advanced analytics and AI model execution directly within a partner’s secure environment.
KONUX CoBrix: built on an industry-proven track record
For more than ten years, KONUX has collaborated with leading rail infrastructure managers, including Europe’s largest, Deutsche Bahn. This partnership has involved monitoring more than 3,500 switches and collecting data from more than 500 million train traces, with 6,000 IoT devices deployed across Europe. This deployment enabled predictive alerts months before potential failures, leading to a 40 per cent reduction in downtime for repairs and more than 50 per cent improvement in maintenance effectiveness.
“We are ending the era of isolated digital solutions in rail infrastructure,” said Shlomi Hagai, CEO of KONUX. “We are convinced that a digitally backed, efficient, and reliable railway system is the key to sustainable mobility. However, the greatest advances do not come about in isolation, but through collaboration. That is why we are opening up our technology with KONUX CoBrix and inviting the industry to accelerate innovation for the digital future of rail on a shared platform.”
Driving rail’s digital transformation with data-driven infrastructure management
By enabling targeted, data-driven maintenance, the platform helps address persistent rail delays, improves punctuality and reduces operational costs, freeing up budget and capacity for other critical improvements. It accelerates the digital transformation of the rail industry, ensuring that record investments in modernisation achieve their full potential and contribute to a more sustainable and reliable rail network.
“KONUX CoBrix accelerates infrastructure innovation by reducing the cost and complexity of integration,” added Marc Gaines, CTO of KONUX. “Operators can deploy predictive maintenance at scale without replacing existing systems or centralising data, while OEMs and technology partners gain access to the KONUX Railway Knowledge Graph, enabling faster development and new data-driven business models.”
KONUX is actively engaging with operators, suppliers and technology partners worldwide to explore further implementation opportunities and expand its ecosystem, fostering collaborative innovation for the future of rail.
About KONUX
KONUX is a leading AI scale-up transforming railway operations for a sustainable future. Combining AI and IIoT, KONUX delivers SaaS solutions that enhance capacity, reliability and cost-efficiency in rail transport. With deployments across Europe and pilots underway in North America and Australia, KONUX is pioneering predictive, collaborative infrastructure management.







