PALO ALTO, Calif. - Aviation tech company NoamAI in San Francisco introduced its patent-pending AI Air Traffic Controller system at Airspace World 2025 in Lisbon, Portugal, highlighting its potential to assist human controllers and improve airport safety and efficiency.
The system uses machine learning and predictive modeling to process real-time flight paths, aircraft positions, and voice communications. It is designed as a decision-support tool to increase situational awareness, shorten response times, and reduce workload in high-traffic scenarios.
"Air traffic control is one of the most complex, high-stakes environments millions rely on daily," said Luke Gotszling, CEO and Co-Founder of NoamAI. "It’s also constrained by legacy systems and staffing shortages. Our AI platform acts as a co-pilot in the tower—boosting coordination, awareness, and responsiveness when it matters most."
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Key features include integration of radar, transponder, and voice data; predictive conflict detection - even in airports lacking advanced surface systems; and a collaborative human-AI interface designed to expand airspace capacity and support emerging platforms such as eVTOL and drone aircraft.
"The Noam AI Air Traffic Control overlay parses and articulates standardized format voice and data clearances, surface surveillance and aircraft position tracking, designed to be clearer and more easily understood, so as to improve situational awareness among all constituents in towered and complex airport surface environments" said former airline executive and aviation analyst Robert Mann.
NoamAI said it plans to work with aviation regulators to certify the system before deployment.
