Commercial airplane
Commercial airplane
Tokyo | Dubai

Master Your Biological Rhythm
for Better Travel, Recovery,
and Performance.

AI-powered travel hyper-personalization that combines biometric data and circadian science to adapt every recommendation to your unique biology: before, during, and after every flight.

Discover the Platform Explore our solution
4.5B+
Air passengers / year
100M+
Premium travelers affected
72hr
Average jet lag recovery time
0
Personalized solutions today
The Problem

4.5B+

passengers travel across time zones each year

Yet modern aviation is optimized for operational efficiency, not human physiology.

Existing apps and recommendations are static and one-size-fits-all, with no connection to individual biological variability.

72 Hours Lost
100M+
Premium travelers
most impacted
Our Solution

A New Layer
for Human Travel

WeruLux is the first AI-powered travel companion that treats your body as the most important system on the plane. Adapting in real-time to your biology, goals, and itinerary.

01
Predictive Intelligence

Using circadian science, WeruLux builds a personal jet lag risk profile and personalized travel plan (optimal timing for sleep, work, meals onboard, etc.).

02
In-Flight Interventions

Using physiological EEG data and physical interventions, we will hyper-personalize your travel journey and recovery plan using refined recommendations thanks to real-time physiological data.

03
Continuous Adaptive Calibration

After landing, the platform tracks recovery via passive phone signals and post-flight feedback, continuously refining your personal circadian model. This creates an ongoing feedback loop to further optimize your future travels.

Neuro-Adaptive Engine · Live Active · Flight AA287
Delta Waves
Theta Waves
Sleep Stage Estimation
WAKE LIGHT DEEP REM
N3
Sleep Stage
61°
Circadian Phase
Low
Jet Lag Risk
Intervention Active
478Hz acoustic · 2700K light
Recovery Score
87 / 100 · Excellent
The Technology

Neuroadaptive.
Real-Time.
Biologically Personalized.

WeruLux combines behavioral data, real-time EEG physiological signals, and advanced ML models to deliver the world's first truly neuroadaptive travel wellness system.

EEG-Driven Sleep Stage Detection Wearable EEG sensors classify sleep stages in real-time enabling interventions precisely timed to circadian windows, not guesswork.
Probabilistic Jet Lag Modeling A proprietary probability model generates risk scores from chronotype, route, departure time, and behavioral history with individual calibration over time.
Adaptive Feedback Loop The system continuously adapts to your responses, making each subsequent journey more effective than the last.
Continuous Calibration Recovery is passively monitored through phone metadata inactivity patterns, charging cycles, and accelerometer data, requiring no effort from the traveler while enabling continuous, seamless calibration.
Performance Impact Designed to be meaningfully better at protecting traveler well-being than static, one-size-fits-all alternatives - continuously learning, continuously improving.
Value Creation

What Changes

For
Passengers
Reduced jet lag and measurably improved in-flight sleep quality.
Seamless, hyper-personalized travel experience from departure to destination.
Faster post-flight cognitive recovery: Arrive ready to perform!
For
Airlines
Differentiated premium cabin experience through biometric personalization.
Increased loyalty and satisfaction among highest-value customers.
New revenue layer extending airline services beyond the flight itself.
For
Corporations
Improved employee well-being and resilience during frequent international travel.
Faster recovery drives higher post-trip productivity, creating measurable ROI.
Potential reduction in travel-related health risks and associated insurance costs.
Our Team

Built by Scientists,
Engineers, & Dreamers

Louisa Uchikoshi
Louisa Uchikoshi
Co-Founder & CEO
Paris-Saclay University · Waseda University, Japan
Published researcher (Technological Forecasting and Social Change)
Okba Bekhelifi
Okba Bekhelifi
Lead BCI Engineer
PhD in Intelligent Systems
Brain-Computer Interface researcher
Sara Hanouti
Sara Hanouti
Finance Lead
EM Lyon Business School
Ex EY France
Djihane T.
Djihane Torchane
Full-Stack and AI Engineer
State Engineer in Computer Science
Quantum AI researcher
Ilyes Bouchada
Ilyes Bouchada
Full-Stack Engineer
Specialising in virtual reality (VR) and artificial intelligence
Based in Tokyo, Japan
Nada Nouha Aderghal
Nada Nouha Aderghal
Embedded Systems · BCI
Brain-Computer Interface researcher
Scientific & Strategic Advisors
Renske Lok
Dr. Renske Lok
Circadian Physiologist
Former Postdoctoral Fellow at Stanford University's Center for Sleep Sciences and Medicine
Anonymous Scientific Advisor
Confidential Scientific Advisor
Leading Circadian Physiologist & Tenured Professor
Top-Tier American Research University
Abdelkader Belkacem
Abdelkader Belkacem, PhD
Director, Cognitive AI Robotics Lab
Tokyo Institute of Technology · Osaka University
Guillaume Hansali
Guillaume Hansali
Entrepreneur & University President
Tokyo, Japan
Get In Touch

Let's Shape the Future of Travel.

We collaborate with forward-thinking airlines, corporations, and research institutions to redefine the travel experience. Whether you're interested in a strategic partnership, investment opportunity, or research collaboration, we'd love to connect.

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