
AI Special Project (2023–2024)
The AI Special Project was initiated to integrate Artificial Intelligence into Public Safety Answering Points (PSAPs) across eight European countries. This initiative focused on enhancing emergency call handling through real-time language detection and translation, AI-assisted call triage, and noise reduction technologies, aiming to improve response times and service quality.

EENA TPSP Project (2022–2024)
The TPSP Project, led by EENA, explores how third-party service providers like telematics platforms, relay services, and app developers can effectively connect with emergency services across Europe. By identifying technical, operational, and legal barriers, the project aims to harmonise data exchange, improve accessibility, and ensure faster, more reliable emergency response through collaboration between TPSPs and Public Safety Answering Points (PSAPs).

Everdrone project (2020–2021)
Launched in 2020, the EENA–Everdrone project tested the use of drones to deliver defibrillators during out-of-hospital cardiac arrests, aiming to reduce response times and improve survival rates. In a real-life pilot in Sweden, drones successfully delivered AEDs in 92% of cases and arrived before ambulances in 64% of emergencies, showing strong potential to enhance emergency medical response.

NG112 Project (2019–2020)
The NG112 project, initiated by EENA, aimed to modernise emergency communications by transitioning from traditional voice calls to a comprehensive, IP-based system. Through pilot programs in countries like Austria, Italy, Denmark, Turkey, and Croatia, the project tested functionalities such as real-time text, video calls, and location-based routing, demonstrating the potential for more accessible and efficient emergency responses across Europe.

PEMEA Project (2018–2020)
The Pan-European Mobile Emergency App (PEMEA) project, led by EENA in collaboration with partners like Beta 80 and Deveryware, aimed to create a standardised framework allowing emergency apps to function seamlessly across European borders. By enabling interoperability between various national emergency applications and Public Safety Answering Points (PSAPs), PEMEA ensures that citizens can access emergency services using their local apps anywhere in Europe, enhancing both accessibility and response efficiency.

Corti AI Project (2018–2020)
The EENA-Corti project, launched in 2018, aimed to enhance emergency medical response by integrating AI developed by Danish company Corti into emergency call centers in France and Italy. This AI technology functioned as a virtual assistant for call-takers, analyzing real-time emergency calls to detect signs of out-of-hospital cardiac arrest, thereby increasing detection accuracy and reducing response times.

Drone Efficacy Study (2016–2018)
The Drone Efficacy Study, led by EENA, DJI, and Black Channel, assessed whether drones can improve search and rescue (SAR) operations by reducing the time needed to locate missing persons. Through field trials in Ireland and the UK, the study found that drone-assisted teams located victims over three minutes faster on average, while also highlighting the need for standardised protocols and training.

EENA-Waze project (2017–2018)
Launched in 2017, the EENA–Waze project explored how real-time, crowdsourced traffic data from the Waze app could support emergency services across Europe. Through pilots in Austria, France, and Italy, the project showed that integrating Waze reports into dispatch systems can improve situational awareness, help locate incidents faster, and enable emergency agencies to share live updates directly with drivers.