Following our participation in the SESAR Annual Conference 2025, where Christophe Hurter from ENAC (École Nationale de l’Aviation Civile) represented TRUSTY at the Digital Sky Marketplace Exhibition, we revisit the key highlights where TRUSTY showcased AI-driven solutions to enhance remote digital towers.

A Prestigious Event for the ATM Industry

On February 18, 2025, the TRUSTY project had the privilege of participating in the SESAR Joint Undertaking (SJU) Annual Conference, held at Brussels Airport. The event gathered over 500 stakeholders from the Air Traffic Management (ATM) sector, including aviation experts, researchers, and European policymakers, to explore the latest innovations in Air Traffic Control.

A key theme of the conference was the presentation of the European ATM Master Plan 2025, which defines the strategic direction for the future of ATM. This plan outlines the Digital European Sky strategy, aiming to make Europe’s airspace the most efficient and environmentally sustainable by 2045. The strategy focuses on the twin digital and green transitions, structured around five technological levers for transformational change. The conference emphasized the need for collaborative efforts to address the challenges faced by Air Navigation Service Providers (ANSPs) and how AI-driven innovations—such as TRUSTY—fit into this vision.



SESAR Annual Conference 2025: ATM experts gather in Brussels

TRUSTY’s Role at the Digital Sky Marketplace Exhibition

As part of the Digital Sky Marketplace Exhibition, TRUSTY positioned itself among the 43 SESAR JU projects that demonstrated cutting-edge solutions for connected ATM, U-space, air-ground integration, multimodality, cybersecurity, and capacity-on-demand. The TRUSTY booth attracted significant interest, providing attendees with live demonstrations and insights into how AI and machine learning can enhance remote digital tower operations.

One of the key moments of TRUSTY’s participation was the presentation of our poster, which showcased the APSARA system (AI-Powered Situational Awareness for Remote Airfields), an innovative AI system designed to support Air Traffic Controllers (ATCOs) in making safer and faster decisions. APSARA integrates multimodal data—including video, audio, and communication exchanges—using machine learning algorithms to detect critical risks, such as wind shear or runway incursions.

By providing real-time, AI-driven decision support, APSARA helps ATCOs react swiftly to potential threats. The system’s intuitive interface displays actionable insights, enhancing both safety and efficiency, particularly in remote airfields, where resources are often more limited.

Stakeholder Engagement and Industry Impact

TRUSTY received strong interest from industry stakeholders eager to explore how AI can enhance digital tower operations. During the networking sessions, attendees experienced live demonstrations of APSARA and its potential to optimize operational efficiency. Many experts in the field acknowledged the value of AI-driven monitoring and decision-support systems, reinforcing TRUSTY’s role in shaping the future of ATM.

Christophe Hurter shared his experience at the event:

“During the event, I dedicated most of my time to presenting the TRUSTY project at the booth, demonstrating its capabilities and discussing the growing role of AI in aviation, particularly in Air Traffic Control (ATC). The conference brought together a diverse group of stakeholders and covered critical topics such as sustainable Air Traffic Management, technological advancements, cybersecurity, and service delivery models. It was an excellent opportunity to showcase APSARA and highlight its potential impact on the future of remote digital towers.”

TRUSTY’s Role in the Future of ATM

Participation in the SESAR Annual Conference 2025 reaffirmed TRUSTY’s role as a key solution for enhancing Air Traffic Control in remote and complex environments. With a strong emphasis on resilience, efficiency, and safety, TRUSTY continues to push forward the integration of trustworthy AI-powered decision-making in Air Traffic Management.