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VI Call for startups

¡Esta es la última convocatoria lanzada, con retos de eficiencia operativa mediante Quantum Computing, automatización y digitalización del mantenimiento ferroviario, mejora de la información al cliente en tiempo real y transformación de la atención en estaciones a través de IA!

VI Convocatoria TrenLab 2025

Retos

Operational Efficiency with Quantum Computing Challenge

We are looking solutions based on quantum computing to address critical Renfe challenges, especially in the optimization of schedules and routes, the efficient allocation of resources such as trains and crew; and the strengthening of cybersecurity. These solutions seek not only to increase efficiency, but also to improve safety and the passenger experience by implementing quantum algorithms that allow for faster and more accurate decision-making.

Illustrative examples of potential solutions:

  1. For route optimization using quantum algorithms that consider a vast number of variables and constraints in real time.
  2. For the development of quantum encryption systems that are practically invulnerable to traditional computer attacks, thus ensuring the protection of critical data and the integrity of railway operations.
Startup Ganadora

Challenge: Automation and digitalization of railway maintenance

We are looking for innovative technological projects, in the field of railway manufacturing and maintenance, aimed at the digitalization and incorporation of new Industry 5.0 technologies (IoT, Big Data, asset management, digitalization of processes, augmented reality, additive manufacturing, artificial vision, etc.).

What we were looking for:

  1. Vehicle health inspection systems, referring to comfort, video, Wi-Fi or any other component, through BIDI codes or any other type of code, that travelers can report.
  2. Solutions that make it possible to calculate the “health” of a vehicle and predict possible breakdowns, through any mobile device.
  3. Solutions that allow the management and traceability of repairable and non-repairable parts of all rolling stock, through the digitization of processes throughout the life cycle of these parts.
  4. Systems that allow us to know the activity history of a vehicle through its UIC number.
  5. Solution for implementing a control center for information transfers between systems.
  6. Interactive inspection systems using mobile devices that allow the manual inspection carried out by technicians to be automated.
  7. Digitization of inspection sheets.
  8. Solutions that facilitate the capture of data by operators in production processes (maintenance, inspection sheets, controls, etc.) through voice recognition technologies, data capture through cognitive automation, robotic process automation, etc.

Startup Ganadora

Challenge: Improving customer information in real time

Renfe seeks innovative technological solutions that improve the customer experience by providing information in real time before starting the trip, on board trains and/or after the journey.

Illustrative examples of potential solutions:

  1. That provide instant updates on service status, changes to boarding platforms, estimated arrival and departure times, and personalized alerts based on the user's route and preferences.
  2. With on-board information that integrates screens and interactive devices, offering real-time data about the route, including details about nearby stops, transportation options at the destination and updates on railway traffic conditions.
  3. For occupancy management, they inform passengers about the distribution of seats in real time, recommending less crowded locations and thus optimizing the comfort and flow of passengers.
  4. Two-way communication that allows customers to interact with Renfe in real time, providing instant feedback and receiving quick answers to their questions or problems during the trip, with a comprehensive approach to active listening to our customers.
Startup Ganadora

Challenge: Transforming customer service into AI-based stations

Renfe seeks innovative technological solutions that transform the customer service system at the stations, turning it into a comprehensive and efficient care center. These solutions must take advantage of the advanced capabilities of AI to provide fast, personalized and effective responses to passengers, significantly improving interaction and proactively solving their needs.

Illustrative examples of potential solutions:

  1. Virtual assistants and conversational AI to solve problems and provide information in real time directly at the stations.
  2. Predictive data analysis to anticipate customer needs and behavior at stations.
  3. Omnichannel solutions that include everything from interactions in sales terminals to messaging and social media applications.
  4. Automation for administrative tasks.
  5. New forms of personalized communication with customers using AI.
Startup Ganadora

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