Daedalean
| ISIN | 🆔 |
|---|---|
| Industry | eVTOL |
| Founded 📆 | 2016 |
| Founder 👔 | |
| Headquarters 🏙️ | , , Switzerland |
Area served 🗺️ | |
| Products 📟 | autonomous piloting software systems |
| Members | |
Number of employees | |
| 🌐 Website | https://daedalean.ai/ |
| 📇 Address | |
| 📞 telephone | |
Daedalean is a Swiss-based technology company building autonomous piloting software systems based on machine learning for civil aircraft. It collaborates with eVTOL companies and aerospace and avionics manufacturers.[1]
Daedalean is headquartered in Zürich,[2] Switzerland, and has offices in Riga, Latvia, and Phoenix, Arizona, the USA.[3][4][5]
The startup is developing flight deck instruments based on machine learning and neural networks which will minimize human involvement in the flying process.[6] Its flagship products are machine-learning-based visual guidance, navigation, and control suite for general aviation.[7]
History[edit]
Daedalean was founded in 2016 in Zürich, Switzerland by former Google employees[8] Anna Chernova, Luuk van Dijk,[7][9] and Jasmine Kent, who has later moved away from the company's affairs to become a co-founder of Dufour Aerospace.[10]
In November 2019, Honeywell Inc. signed an agreement with Daedalean on joint testing and technological partnership in developing solutions for autonomous takeoff, landing, and GPS-independent navigation and collision avoidance for general aviation and eVTOL. Additionally, Honeywell Ventures joined the Swiss startup’s pool of investors.[11][12]
In December 2019, the company was announced as one of the winners of a multi-million Euro grant under the Horizon 2020 Program. Daedalean received a €2.3 million EIC Accelerator grant from the European Innovation Council.[13][14][15]
In March 2020, The European Union Aviation Safety Agency (EASA), jointly with Daedalean, published the report titled ‘Concepts of Design Assurance for Neural Networks (CoDANN)’ under a 10-months long Innovation Partnership Contract (IPC).[16][17][18]
In 2020, Daedalean won the first Swiss AI Award for innovations in Artificial Intelligence.[19][20][21]
In March 2021, Daedalean partnered with Reliable Robotics to build advanced navigation and situational awareness systems for commercial aircraft operations.[22]
In 2021, the company got the Excellence Club Aerospace award for the best innovation.[23][24]
In May 2021, Daedalean, together with EASA, published the second report, ‘Concepts of Design Assurance for Neural Networks (CoDANN) II’, following a 10-month collaboration under their second Innovation Partnership Contract.[25][26]
In December 2021, Daedalean and Avidyne completed the development of an AI-based vision avionics system for general aviation, special mission, and advanced air mobility markets, to be marketed as the Avidyne PilotEyeTM Vision System. The companies applied for the supplemental type certificate (STC) by the Federal Aviation Administration (FAA), with concurrent validation with EASA.[27]
In May 2022, the company and the FAA completed a joint research project based on machine learning for general-purpose aircraft. The subject of the project was the study of a visual landing system (VLS) for fixed-wing aircraft developed by Daedalean. The research results were published in a project report titled `Neural Network Based Runway Landing Guidance for General Aviation Autoland`.[28][29]
In August 2022, Daedalean launched the U.S. branch in Phoenix, Arizona. The president of Daedalean’s office in the U.S. became Yemaya Bordain.[30]
Projects[edit]
From May 2019 to May 2021, Daedalean consulted EASA under two Innovation Partnership Contracts (IPC). The first project (2019-2020) investigated the possible use of Machine Learning/Neural Networks in safety-critical avionics. The results of the first project were summarized in the report Concepts of Design Assurance for Neural Networks (CoDANN) I, March 2020. The visual landing guidance system (VLS), developed by Daedalean, served as the use case.[16][31]
The results of the second project, together with EASA (2020-2021), were summarized in the report CoDANN II, May 2021, which matured the concept of Learning assurance and discussed the remaining AI building blocks from the EASA AI Roadmap. The Daedalean’s Visual Traffic Detection served as the use case.[32]
In 2021, a project with the FAA studied the applicability of the CoDANN findings to the FAA's processes of design assurance for avionics software. The subject of the project was the study of a VLS for fixed-wing aircraft developed by Daedalean. The flight test campaign, conducted in the presence of FAA members on board, took place in March 2021 in Florida. In 2022, the FAA published the project result in a report titled ‘Neural Network Based Runway Landing Guidance for General Aviation Autoland’.[28][29]
In March 2022, Embraer, a Brazilian multinational aerospace manufacturer, announced technological partnerships with several companies as part of Project EASy, the Embraer Autonomous System project. Daedalean became one of the members of the partnership.[33][34]
Investments[edit]
In December 2017, the company was funded by the Swiss ICT Investor Club, Carthona Capital, and Emmanuel Mogenet.[35]
In July 2019, the company closed the next funding round with CHF11.8 million, which was led by Carthona Capital, Redalpine, and Amino Capital.[36]
In November 2019, Honeywell invested an undisclosed amount and signed a technological partnership with Daedalean.[37]
In December 2019, Daedalean received a grant of €2.3 million under the Horizon 2020 program from the European Innovation Council (EIC) Accelerator.[38]
In January 2022, Daedalean closed the Series B funding round with a summary of $58 million from Carthona Capital, Amino Capital, Redalpine Venture Partners, and Honeywell Ventures. The investments are intended to develop the next generation of AI-based systems for application in safety-critical flight control for new electric vertical take-off and landing and existing aircraft.[7]
References[edit]
- ↑ "53 millions de francs injectés dans Daedalean et ses autopilotes pour avions". www.ictjournal.ch (in français). Retrieved 2022-10-20.
- ↑ "Der Rollstuhl macht das Rennen". www.lokalinfo.ch (in Deutsch). Retrieved 2022-10-20.
- ↑ Wilson, Kait. "Daedalean Opens U.S. Business, Hires Regional Executive". Aviation International News. Retrieved 2022-10-20.
- ↑ "Tiger Global investiert 75 Millionen in Moss - Daedalean sammelt 58 Millionen ein". deutsche-startups.de (in Deutsch). 2022-01-19. Retrieved 2022-10-20.
- ↑ "Daedalean eröffnet Büro in USA". punkt4info News (in Deutsch). Retrieved 2022-10-20.
- ↑ "The Future of Flight Will Be Built on SAFETY | Aerospace Tech Review". www.aerospacetechreview.com. 2021-08-29. Retrieved 2022-10-20.
- ↑ 7.0 7.1 7.2 "Swiss-based Daedalean flies in with $58 million for future air taxis". Tech.eu. 2022-01-18. Retrieved 2022-10-20.
- ↑ da Silva, Gioia (26 June 2022). "Woran krankt die Schweizer Startup-Szene? "Geld ist da. Aber es fehlen die Frauen"". NZZ.ch.
- ↑ "DAEDALEAN". Forbes (in Deutsch). Retrieved 2022-10-20.
- ↑ "Interview with Thomas Pfammatter & Jasmine Kent of Dufour". The Vertical Flight Society. Retrieved 2022-10-20.
- ↑ "Honeywell and Daedalean to collaborate on vision-based flight control". Vertical Mag. Retrieved 2022-10-20.
- ↑ Alcock, Charles (November 20, 2019). "Honeywell Invests in Artificial Intelligence Pioneer Daedalean". FutureFlight. Retrieved 2022-10-20.
- ↑ "Daedalean Awarded Multi-Million Euro Grant Under the Horizon 2020 Program | Aerospace Tech Review". www.aerospacetechreview.com. 2020-03-28. Retrieved 2022-10-20.
- ↑ "Commission awards more than €278 million to 75 start-ups and SMEs set to shape the future". research-and-innovation.ec.europa.eu. Retrieved 2022-10-20.
- ↑ "EIC Accelerator grants for Swiss startups". www.startupticker.ch. Retrieved 2022-10-20.
- ↑ 16.0 16.1 "EASA publishes joint report on the Learning Assurance for Neural Networks - AI Roadmap". EASA. Retrieved 2022-10-20.
- ↑ Alcock, Charles (July 30, 2020). "EASA Launches Research on Safe Use of Artificial Intelligence in Aviation". FutureFlight. Retrieved 2022-10-20.
- ↑ "EASA and Daedalean Created Concepts of Design Assurance for Neural Networks". sUAS News - The Business of Drones. 2020-04-02. Retrieved 2022-10-20.
- ↑ "Der erste Swiss AI Award geht an …". www.netzwoche.ch (in Deutsch). Retrieved 2022-10-20.
- ↑ "Swiss AI Award". AiCon - Amazing AI Innovations. Retrieved 2022-10-20.
- ↑ "Daedalean wins prize for Artificial Intelligence". S-GE. Retrieved 2022-10-20.
- ↑ "Reliable Robotics Partners with Daedalean to Disrupt Next Generation of Aircraft Navigation and Situational Awareness Systems". Avionics International. 2021-03-22. Retrieved 2022-10-20.
- ↑ "Laureates 2021". Excellence Club Aerospace - Business Club and Expert Conferences on Innovation. 2021-11-09. Retrieved 2022-10-20.
- ↑ "[Appel à candidatures] Inscrivez-vous pour la 2e édition des Excellence Club Aerospace Awards". www.alliancy.fr (in français). Retrieved 2022-10-20.
- ↑ "EASA publishes second joint report on the Learning Assurance for Neural Networks - AI Roadmap". EASA. Retrieved 2022-10-20.
- ↑ "Second EASA Joint Report Explains Key Elements of W Development Model for Machine Learning Avionics Software". Avionics International. 2021-05-24. Retrieved 2022-10-20.
- ↑ Patterson, Thom (2021-12-30). "5 Ways eVTOL Avionics Will Change How Pilots Fly". FLYING Magazine. Retrieved 2022-10-20.
- ↑ 28.0 28.1 "Daedalean Concludes Joint FAA Project on Neural Network-Based Runway Landing Guidance". Future Transport-News. 2022-05-25. Retrieved 2022-10-20.
- ↑ 29.0 29.1 "Daedalean concluded a joint research project with the FAA on Neural Network-Based Runway Landing Guidance for General Aviation". sUAS News - The Business of Drones. 2022-05-24. Retrieved 2022-10-20.
- ↑ Evans, Scarlett (18 August 2022). "Self-Flying Plane Company Moves into Phoenix". iotworldtoday.
- ↑ Sam, Lewis (3 April 2020). "New EASA and Daedalean report on use of AI in aviation".
- ↑ Amyx, Scott (2021-05-25). "Interview with Dr. Luuk van Dijk, CEO of Daedalean". Scott Amyx. Retrieved 2022-10-20.
- ↑ "Embraer, Eve, and Daedalean Test Systems for Autonomous Flight". Avionics International. 2022-05-11. Retrieved 2022-10-20.
- ↑ Pritchard, Jason (2022-03-29). "Embraer adds new partnerships to Project EASy, which focuses on breakthrough technologies for autonomous systems - eVTOL Insights". evtolinsights.com. Retrieved 2022-10-20.
- ↑ "Carthona Capital eyes futures with Daedalean, Ouster backing". Australian Financial Review. 2017-12-11. Retrieved 2022-10-20.
- ↑ "Daedalean raises CHF11.8 million in new venture round — Revolution.AERO". web.archive.org. 2022-10-07. Archived from the original on 2022-10-07. Retrieved 2022-10-20.
- ↑ "Honeywell Invests, Partners with Swiss Autonomy Startup Daedalean.AI". Avionics International. 2019-11-22. Retrieved 2022-10-20.
- ↑ "AI-based autonomous flight control for the aircraft of today and electric VTOLs of tomorrow". Horizon 2020. 9 March 2020. Retrieved 20 October 2022.
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