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Founded in 2003, Deveryware stands as one of the leading companies in investigative technology and global security services, and is committed to serving the security of States, companies and populations thanks to innovative digital technologies and high-value-added solutions.

The Group’s offer – with its subsidiaries OAK Branch, Tracip and Crisotech covers forensic and digital investigation, real-time geolocation platforms, cybersecurity, anti-fraud, crisis management, and emergency communications. Deveryware’s capacity for innovation, commitment to values of respect for privacy and unprecedented experience and knowledge of the Homeland Security market make the company the trusted partner in public safety and security affairs.

With a turnover of €37M in 2020 and its 140 collaborators, the Group is established in Europe, Africa, North and Latin America. Over the last years Deveryware has gained considerable know-how and expertise in public safety, contributing to multiple European projects involving emergency services. Since 2015 Deveryware has created a platform, GHALE, that powers the services of the PEMEA standard (ETSI TS 103 478), delivering interoperability to emergency Apps, facilitating roaming and improved accessibility to emergency services for citizens experiencing disabilities or impairments.


In NIGHTINGALE, Deveryware focuses on the development of a platform which improves coordination between first responders, volunteers and public safety answering point (PSAP), based on the user requirements and Deveryware’s GHALE platform (PEMEA compliant (ETSI TS 103 478) interoperability services). In leading this task, Deveryware works on creating interoperability protocols for sharing emergency information, which is useful for first responders in a specific area.

The task aims at improving coordination between the emergency services, volunteers, and PSAPs by upgrading communication technology. To overcome eventual PSAP overload, a situation awareness component is being developed within the project. It is capable to process multimedia data streams, present the overall emergency situation, and identify critical individual requests, using fused texts and image processing based on natural language processing, machine learning and proprietary algorithms.

Deveryware also contributes to other technical tasks, including integration testing, validation and user familiarisation with the developed tools.