Real-Time Alertness Tracking for Every Flight

Aware AI helps pilots monitor their alertness in real time and provides recommendations to support better awareness during flight

Download Android MVP

*iOS/TestFlight Coming Soon

Services

Stay Aware When Conditions Change

Built to help pilots recognize fatigue early and stay informed during flight.

Real-Time Awareness

Monitor your alertness and fatigue levels throughout a flight with continuous analysis and live updates.

Early Fatigue Detection

Identify changes in alertness before they become more significant and receive clear warnings when attention may be declining.

Actionable Guidance

Get recommendations based on your current condition, helping you respond with practical actions when needed.

Features

Everything You Need, In One Place

Monitor your condition, view flight information, and review your performance from a single dashboard.

Alertness Score

Track your current alertness level in real time with a clear and easy-to-understand score.

Fatigue Level

Monitor fatigue throughout the flight and receive warnings when significant changes are detected.

Flight Map

View your location, route, destination, and flight progress alongside your awareness data.

Reports

Review past flights, track trends, and better understand your alertness and fatigue patterns.

Meet Hami

Get guidance based on your current condition, not generic answers.

Hami understands your alertness level, fatigue score, flight duration, and recent activity to provide recommendations that fit your current situation.

How it works

Awareness in Three Steps

A camera-based model analyzes visual indicators and transforms them into alertness and fatigue insights.

Step 1

Start Your Flight Session

Begin a monitoring session with a single tap. Aware AI starts tracking your alertness and prepares your session for the journey ahead.

Step 2

Enter Flight Information

Add your route, destination, and other flight details to personalize your session. This information helps provide relevant insights throughout your flight.

Step 3

Visualize and Monitor Your Journey

Follow your flight progress on the map while accessing alertness, fatigue, and other awareness insights in real time. Everything is displayed in one place, making it easy to stay informed throughout the journey.

Testimonials

What Early Testers Are Saying

Practical feedback from pilots, operators, and human-factors reviewers shaping the MVP before wider release.

Capt. Nadia Rahman

Airline Captain

The dashboard makes alertness feel actionable instead of abstract. The pause/resume flow and route context are exactly the kind of details pilots notice during a busy test.

Ryan Collins

Charter Pilot / CFI

I like that it gives a quick nudge without taking over the flight deck. Hami is most useful when the guidance stays short, specific, and tied to what the app is actually seeing.

Maya Serrano

Fleet Safety Manager

The strongest part is the trend view after a session. It turns a flight into a debrief conversation about fatigue, attention, and what changed during the route.

Dr. Victor Hale

Human Factors Advisor

Aware AI is approaching fatigue as a human-factors workflow, not a magic score. That matters: the product explains uncertainty and keeps the pilot in control.

Elena Brooks

Private Pilot Beta Tester

The MVP already feels more polished than a demo. Map context, GPS basics, and the paused-session card make it easy to understand what state the app is in.

Samir Patel

HEMS Safety Officer

For operations teams, the value is consistent language around fatigue events. The product can support safer conversations before small issues become patterns.

Test the Aware AI MVP

Download the Android MVP for early testing. Aware AI is built in Flutter, and iOS/TestFlight release is planned soon after signing, review, and device QA.

Download Android MVP

*iOS/TestFlight Coming Soon

Testimonials

Questions Pilots Ask Before Testing

Clear answers about the MVP, platform availability, privacy, and how Aware AI fits into real aviation workflows.

What is Aware AI?

Aware AI is an assistive pilot alertness and flight debrief MVP. It combines camera-based fatigue cues, session context, route/map state, and Hami AI guidance to help pilots notice changes in alertness during and after a flight. It is not certified avionics, a medical device, or an autopilot system.

How does Aware AI work?

During a monitoring session, the app analyzes face and attention signals from the phone camera, tracks session timing and route context, and surfaces short guidance when attention may be changing. After the session, reports summarize trends and let pilots ask Hami about what happened.

Which platforms are supported?

The MVP is available for Android testing now through our release builds. Because Aware AI is built in Flutter, iOS support is on the product roadmap; TestFlight/App Store release is planned soon after signing, review, and device QA are complete.

Where does Aware AI fit in a pilot workflow?

Aware AI is designed as a lightweight companion around pre-flight readiness, live alertness awareness, and post-flight debriefing. It supports personal awareness and team safety conversations, but does not replace SOPs, checklists, cockpit instruments, rest requirements, or professional judgment.

Is my data secure with Aware AI?

Aware AI is being built with privacy-by-design practices: authenticated app/backend calls, no static LLM API key bundled in the mobile app, and controlled access to session data. Public testers should review the privacy policy, and enterprise deployments can define retention and access rules.

Can I use Aware AI for long-term monitoring?

Yes. The product is designed to help pilots and teams review trends across sessions, spot recurring fatigue patterns, and improve the debrief conversation over time.

How accurate is Aware AI in detecting fatigue?

Aware AI should be treated as a decision-support signal, not an absolute fatigue diagnosis. Results depend on lighting, camera position, device quality, and user behavior. The MVP surfaces detection confidence and is being refined with real tester feedback.