Orange Train Wash

The project is focused on enhancing train hygiene transparency by implementing an automated, data-driven system to monitor and report train cleanliness.

Using IoT-enabled devices, the project gathers real-time data on the condition and cleaning status of trains.

This information is analysed to provide actionable insights for maintenance teams, enabling proactive cleaning and maintenance scheduling.

The goal is to improve passenger experience by ensuring consistently high standards of cleanliness, streamline cleaning operations, and deliver measurable outcomes that promote accountability and operational efficiency in the rail industry.

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Fenix Rail System

The Fenix First Fix platform, developed by EYYA for Fenix Rail Systems, enhances operational efficiency in the rail industry through technology and data analytics.

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It provides real-time monitoring of train and track conditions, predictive maintenance to minimise downtime, and automated reporting for quick, informed decision-making.

Its user-friendly interface supports seamless operations, helping Fenix strengthen reliability, reduce disruptions, and deliver innovative rail solutions.

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GCRE

EYYA is partnering with the Global Centre of Rail Excellence (GCRE) to develop an innovative application advancing sustainability in the rail industry, aligned with five United Nations Sustainable Development Goals (SDGs).

By leveraging IoT technology and data-driven solutions, the project focuses on optimising rail operations, enhancing infrastructure, reducing environmental impact, and promoting sustainable practices across the sector.

This collaboration aims to set new standards for innovation and sustainability in transportation.

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Sustainability Initiative

EYYA is advancing its commitment to sustainability by pursuing B Corp certification and implementing the Greenhouse Gas (GHG) Protocols to measure and manage its environmental impact.

The B Corp framework ensures that EYYA integrates social and environmental responsibility into its business operations, aligning with global standards for ethical and sustainable practices.

Through the GHG Protocols, EYYA tracks and reduces carbon emissions across its operations and supply chain, contributing to transparency and climate action. These initiatives underline EYYA's dedication to creating long-term value for stakeholders while driving positive environmental change.

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eTRAC endorsed by BridgeAI

EYYA has been recognised by BridgeAI for its pioneering work in transforming rail maintenance through AI-powered inspection technology. Using our eTRAC platform, we are helping rail operators automate condition inspections, detect damage and cleanliness issues in real time, and transition from reactive to predictive maintenance strategies. By combining computer vision, IoT and AI, eTRAC delivers a data-driven approach to improving safety, operational reliability, and passenger experience across rail networks. This recognition marks an important milestone as we continue scaling the solution across the UK and Europe.

Check out more here:
eTRAC: Rail Cleanliness Intelligence | Mobility Innovation Marketplace

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South Western Railway adopt eTRAC

EYYA is now delivering its commercial-grade eTRAC solution for South Western Railway, marking a significant step forward in the deployment of AI-driven rail maintenance technologies across the UK network.

Building on proven capabilities in automated train condition monitoring, eTRAC enables real-time detection of damage, cleanliness issues, and maintenance requirements through advanced computer vision, IoT and AI.

The rollout with South Western Railway reflects growing industry confidence in data-driven inspection solutions that improve operational efficiency, reliability, and passenger experience.

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Chiltern Pilot Success

Working in partnership with Chiltern Railways, EYYA deployed eTRAC as a pilot project to demonstrate the potential of AI-driven train condition monitoring within live rail operations. The installation has exceeded expectations, providing valuable operational insights while successfully capturing more than 40,000 train video datasets to support advanced AI modelling and system training. The pilot has proven the scalability and reliability of eTRAC in a real-world environment, highlighting how computer vision, IoT and AI can support smarter maintenance strategies, improved asset visibility, and more efficient rail operations. The success of the project reinforces the growing role of intelligent inspection technologies in the future of rail infrastructure.

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EIT Urban Mobility funds eTRAC for European Expansion

EYYA has secured funding from EIT Urban Mobility and the European Union to further advance the deployment of its eTRAC platform, supporting the next generation of intelligent rail operations across Europe. As part of the programme, EYYA will expand the deployment of eTRAC, demonstrating how AI, computer vision and IoT can improve operational efficiency, cleanliness monitoring, and predictive maintenance. Backed by one of Europe’s leading mobility innovation initiatives, this collaboration represents a significant milestone in EYYA’s expansion into the European market and reinforces the growing demand for data-driven, sustainable rail technologies.

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