Autonomous flight control for the electric personal aircraft of the near future


Daedalean is a Zürich-based startup, and our mission is to build a certified airworthy autopilot that can also pass the exams for human pilots.

The Innovation

There is no incremental path from UAV control to certification for personal transport (DAL-A), nor one from current DAL-A level avionics to full autonomy. We bridge that chasm.


We need to build a system that is sufficiently deterministic to pass certification, yet can deal with unexpected situations to justify the absence of a human pilot. Ultimately this is decided by regulatory bodies, not by science or engineering, so the main risk is the legal landscape. It is clear though, that some things will move, one way or another.


We have experts from robotics, computer vision, machine learning and avionics, and we have a pilot whose job it is to go through the requirements for human pilots and turn them into system requirements to which we can engineer. We rely on good execution with good people in a lean and agile organisation. A foundation of thorough classical systems engineering complements modern insights of machine learning and computer vision.


Luuk van Dijk, CTO

PhD in Physics (UvA, RuG). Google (Gmail, Maps, Go), SpaceX (flight software).

Jasmine Kent, CEO

BSc Mathematics & Computer Science (King's College, Univ. London), Google (Daydream VR), YouTube (Live, Content ID), SEGA.

Thomas Kindler, Legal

Dr. jur. (Bern, Switzerland), LL.M. (Georgetown, Washington DC). Legal counsel for siroop AG.

Mukta Prasad, Computer Vision and Machine Learning Lead

Also Adjunct Assistant Professor (previously Asst. Professor) at Trinity College Dublin. Previous: B.Tech in Computer Science (IIIT Hyderabad), PhD in Computer Vision (Oxford University), Postdoctoral researcher (ETH Zürich).

Matthias Kraft, Flight Software Engineer

PhD in Physics studying plasmonic systems (Imperial College London) with a stint in the Mathematics department working on MCMC samplers and their application to machine learning.

David Haber, Flight Software Engineer

MEng Computer Science (Imperial College London, work on neuroprosthetics/robotics in the Brain & Behaviour Lab), Cognitir (cofounder), Soma Analytics (machine learning/software engineer).

Philipp Krüsi, Autonomous Navigation Systems Engineer

PhD in Robotics (Autonomous Systems Lab, ETH Zürich), Carnegie Mellon University, Hilti, Porsche.

Anna Chernova, Pilot and Principal Engineer

BSc in Physics (СПбГУ); mathematical biology (Univ. of Oxford) and bioinformatics (NIMR MRC), Google (marketing; Maps -- quantitative analyst). Helicopter PPL(H) and fixed wing pilot.

Lucy Brandenberger, Autonomous Avionics Engineer

BSc Information Technology and Electrical Engineering & MSc Management, Technology and Economics (ETH), Google, iQIYI, Baidu Silicon Valley AI Lab.

Alexandru Băluț, Devtoolsmith

BSc Computer Science (Transilvania University), Google, Triposo, Pitivi.

Daniel Danciu, Software Development Lead

PhD Artificial Intelligence (Babeș-Bolyai University), Google (Shopping, Flights), YouTube (Live, Cast, API).

Patrick DeHart, Technical Writer

MA Education (University of Portland), BA Literature (UCSC), Content management experience working with data driven start-ups.

Svyatoslav Savenko, Flight Software Engineer

PhD in Physics (UU), Shell, Bloomberg, ETH Zürich.

Rocky, Top Dog

Emotional Support Partner (Google, SpaceX), Distinguished Laika.

Daila, Street Dog

Can open any door, as long as there's a guarantee of food on the other side. (Google, Streets of Barcelona)

Sandeep Menta, Intern

MSc. in Robotics, Systems and Controls, ETH Zürich. B.Tech in Electrical Engineering, IIT Madras.



Nature is real and you dig her. Organizing information is all very well but in the end, it's her laws that determine whether things fly and the speed at impact. To build the right models and learn to control them, we can always use more physicists. Inquire within.

Avionics Systems Engineer

You have an EE or similar background but you know it takes more than that to make things airworthy. To oversee development of innovative computer vision and flight control hardware we need someone that can go from system requirements and functional hazard analysis down to PCB layout, bus timings and FPGA debugging. The letters and digits DAL-A, ARP4754 and DO254 hold no mystery for you but you're eager to join a team that has a development cycle measured in weeks rather than years, where you will be responsible for shaping the hardware that runs our algorithms.

Electronics Hardware Engineer

Your role will be to oversee the development of innovative hardware, with an initial focus on computer vision. We need someone who can go from system requirements and analysis down to PCB layout, bus timings, and FPGA debugging. You're eager to join a team that has a development cycle measured in weeks rather than years, where you will be responsible for shaping the hardware that runs our algorithms.

Details (PDF)

Game Programmer

We have noticed that hardcore game programmers have all the right skills to program flight computers and we don't think that's a coincidence. Whether it's the familiarity with event loops, the drive to simplify until it clearly works well or a love of GPUs, all we know is that we can always use some more of them to help us program the game of flight, in which the heroes Propulsion and Lift battle against Drag and Gravity, persistent and dangerous adversaries.