Daedalean
Certifiable machine-learning avionics for visual navigation and traffic detection
About
Daedalean builds machine-learning-based avionics for civil aircraft: visual traffic detection, GNSS-independent navigation, and landing guidance. Its first product, PilotEye, developed with Avidyne, is working toward certification as a visual traffic awareness system, and the company has published joint reports with EASA and the FAA on certifying ML for safety-critical aviation.
It is one of the few companies tackling ML certification head-on rather than treating aviation as a demo. Certification timelines have slipped repeatedly, so the commercial payoff is still prospective, and general-aviation operators are the near-term market.
What it can do
- Vision-based traffic detection
- GNSS-independent positioning
- Runway and helipad landing guidance
- Certification-grade ML safety assessment
Setup
- Contact Daedalean about the Eval Kit or certification programs
- Install the vision-based system on a test aircraft
- Run flight evaluations with Daedalean engineers
- Engage regulators on certification pathway
Prerequisites
Test aircraft; engagement with aviation regulators for certified use
Use cases
Works with
Trust score — 7/10
Scored 7/10 (verified tier, metrics-v1). Evidence: Swiss AI avionics company founded 2016; Joint EASA/FAA reports on ML certification; PilotEye with Avidyne working toward certification; Certification timelines have slipped; commercial payoff prospective. License: Proprietary avionics software; certification pending.
How the trust score is built
Full methodology →- Adoption · stars/downloads, log-scaled vs peers
- 6.0/10
- Maintenance · recency, releases, issue load
- 8.0/10
- Openness · license + docs
- 4.0/10
- Manual review · sanity read + red-flag check
- 7.0/10
- · Swiss AI avionics company founded 2016
- · Joint EASA/FAA reports on ML certification
- · PilotEye with Avidyne working toward certification
- · Certification timelines have slipped; commercial payoff prospective
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.