Stratos
The Future of Flight
Stratos9X
Experience the pinnacle of aerospace engineering. Unprecedented efficiency, unmatched comfort, and a design that redefines the horizon.
360° Inspection
Aircraft Explorer
Fluid Dynamics
Aerodynamics
Controls
Wind Tunnel Specs
Power & Efficiency
Next-Gen Propulsion
The Stratos9X features a revolutionary hybrid-electric propulsion architecture. Integrated superconducting generators harvest energy during descent, dramatically reducing specific fuel consumption.
Controls
Engine State
Exploded View
Architecture
Controls
Layers
Structural Integrity
Advanced Composites
Unparalleled Comfort
The Cabin
Atmospheric Control
Experience lower cabin altitude and dynamic LED lighting synchronized with your circadian rhythm.
Adaptable Layouts
Configuration
Command Center
Flight Deck
Synthetic Vision
Enhanced situational awareness in low visibility.
Touch Displays
Intuitive interface reducing pilot workload.
Fly-By-Wire
Advanced flight envelope protection.
Global Reach
Performance
| Specification | STRATOS-9X | STRATOS-9XLR |
|---|---|---|
| Max Range | 8,500 NMI | 9,700 NMI |
| Passenger Capacity | 350 PAX | 320 PAX |
| Max Takeoff Weight | 285,000 kg | 298,000 kg |
| Overall Length | 73.9 m | 73.9 m |
Cinematic View
Flight Demo
Journey
Passenger Experience
Boarding
Seamless transitions with automated lighting and climate control.
Cruise
Seamless transitions with automated lighting and climate control.
Arrival
Seamless transitions with automated lighting and climate control.
Efficiency
Ground Turnaround
Turnaround Time
Eco-Impact
Sustainability
Zero Emissions Target
Designed with 100% Sustainable Aviation Fuel (SAF) compatibility and hydrogen-ready architecture.
Precision Assembly
Manufacturing
Digital Thread
Every Stratos9X is assembled using a completely digital workflow. Automated robotic drilling and composite layup ensure unprecedented tolerances.
Predictive Maintenance
Digital Twin
Fleet Analytics
Real-time health monitoring of over 10,000 data points per second.
AOG Prevention
Predictive algorithms schedule maintenance before components fail.