Skylife engineering is the coordinator of the HARVIS (Human Aircraft Roadmap for Virtual Intelligent System) project, belonging to the Clean Sky 2 European call (H2020-CS2-CFP08-2018-01) on the topic “Potential of Cognitive Computing for the operations of cabin ”(JTI -CS2-2018-CFP08-THT-02) and whose duration is 36 months.

Companies from 3 European Union countries participate in this project:

  • The National School of Civil Aviation (ENAC) of Toulouse
  • The Italian company Deepblue
  • The CVBLAB research group of the University of Valencia

The overall objective of the HARVIS project is to identify how cognitive computing and artificial intelligence algorithms, implemented in a digital assistant, could support single-pilot decision-making in complex situations. This will help the EU and CS2JU guide research and development in the next decade.



The main objective of the HARVIS Project is to determine how the cognitive computing algorithms implemented in digital assistants can support the decision-making of individual pilots in complex situations.

To achieve this objective, the project will deliver:

  • The latest technology in cognitive computing algorithms.
  • Future artificial intelligence in the cockpit concept.
  • A set of realistic scenarios in which a digital assistant can bring benefits to flight operations.
  • The roadmap provides guidance for the adoption of mature concepts by 2035.

Artificial Intelligence in the Cabin

Fully autonomous flight may replace pilots in the near future. Cognitive computing algorithms can also help pilots make decisions in complex situations. The EU-funded HARVIS project will find a way to do this. The designer will develop an artificial intelligence (AI) proposal for the booth. You will write a concept paper on the future of AI in the cockpit, which includes a number of realistic scenarios in which a digital assistant can assist in flight operations. HARVIS will also develop a plan to help the European Union and its “Clean Sky Joint Venture” (CS2 JU) adjust R&D funding over the next ten years.

This project has received funding from the Clean Sky 2 Joint Undertaking under the European Union Horizon 2020 research and innovation program under grant agreement No  831884.