
Corporate news
Explore the latest ANZEN news: projects, milestones, partnerships and media presence.
Our engineering is also a talking point.


ANZEN Engineering-UAE MAA partnership
ANZEN Engineering expands its presence in the UAE Aerospace Defense Industry
ANZEN Engineering signs a collaboration agreement with UAE MAA, reinforcing its role as a Qualified Entity for airworthiness and safety engineering of military aircraft.

Helicopter satcom breakthrough
ANZEN in the CORSARIO project
CORSARIO aims at developing a disruptive Satellite Communications Systems for helicopters leveraging on advanced technologies -digital processing, beamforming, additive manufacturing- to provide ubiquitous, high-bandwidth and high availability link.

Expanding Central Europe presence
Strengthening ANZEN Engineering’s Position in Switzerland and Central Europe
ANZEN Engineering reinforce its aerospace presence in Switzerland and Central Europe through strategic meetings with Pilatus Aircraft, partners, and key stakeholders, reinforcing long-term collaborations.

Custome MBSE workflows
Implementing domain specific workflows in Cameo
Cameo, a leading MBSE tool, implements SysML with powerful extensions for systems engineers. Unite teams around a centralized model, customize stakeholder perspectives and extend capabilities to serve specific large-scale information processes.

May 2024 – A milestone celebration
Five years since the creation of ANZEN Engineering
ANZEN Engineering marks its successful trajectory with a landmark event at ESA, uniting industry leaders to discuss aerospace safety and future challenges.

Building team spirit
Periodic on-site meetings with the entire team are always great
On-site weeks enhance team cohesion and engagement across ANZEN engineering´s multicultural projects, blending technical immersion with shared experiences to strengthen collaboration.

Markow Analysis Integration
New feature in ATICA4CAPELLA – Markov Analysis Addon
ANZEN Engineering enhances ATICA4CAPELLA with a Markov Analysis Addon, enabling advanced reliability predictions directly from system state machine models.