At Panhwar Jet, we're redefining what it means to fly safely. Our Aircraft Controls Team—led by our Co-Founder & Chairwoman, Ayisha F. Panhwar—is developing a revolutionary AI model engineered to dramatically reduce and eventually eliminate human error in flight operations.
Because our unmanned electric aircraft are remotely operated by trained drone pilots, ensuring consistent, error-free performance is absolutely critical to protecting both our cargo and our aircraft. To meet this challenge, we’ve developed a proprietary AI system embedded in a compact, self-contained hardware module we call the AI Box.
This AI Box is being deployed across more than 75 aircraft, capturing and analyzing over 700 real-time variables per flight, including:
But unlike traditional systems, our AI does more than record and react—it thinks. In real-time. It generates the safest takeoff and landing strategies, offers instant feedback to operators, and continuously improves with every mission.
In high-stakes aviation environments, human error is still the leading cause of incidents. Our system is uniquely designed to monitor stress levels and physiological cues from remote pilots using biometric sensors, instantly flagging anomalies and correcting potential mistakes in macroseconds. By identifying patterns in both pilot performance and environmental variables, our AI ensures that the same mistake is never repeated twice.
Training has already begun using historical flight data, and our next phase will integrate live operational data directly from our aircraft in the field. This creates a continuous learning loop—helping remote pilots make better decisions while teaching our aircraft to adapt faster, fly smarter, and avoid risk autonomously.
More than a technological advancement, this system is a bold step toward fully autonomous flight. Backed by real-world data, intelligent decision-making, and FAA certification goals, this AI control platform is not just for Panhwar Jet—it’s designed to become an aviation industry standard.
We’re targeting early deployment in 2026, ensuring that as our aircraft scale into full logistics operations, they fly with unmatched levels of safety, reliability, and intelligence.