Writer

Amy Wilder

Artificial intelligence startup NoamAI has introduced a patent-pending air traffic control support system designed to assist tower personnel with real-time predictive modeling, voice parsing, and surface surveillance integration.
Unveiled May 13 at Airspace World 2025 in Geneva, the NoamAI Air Traffic Controller system uses machine learning to process thousands of data points per second, including aircraft position, radar feeds, and controller communications, to help reduce response times and enhance situational awareness.
“Air traffic control is one of the most complex, high-stakes environments millions rely on daily,” said NoamAI CEO and co-founder Luke Gotszling. “Our AI platform acts as a co-pilot in the tower—boosting coordination, awareness, and responsiveness when it matters most.”
The system is not intended to replace human operators but to augment their capabilities, particularly in high-traffic or constrained environments. Former airline executive and aviation analyst Robert Mann said the overlay “parses and articulates standardized format voice and data clearances, surface surveillance, and aircraft position tracking,” with the goal of making tower operations more intelligible and efficient.
Key system features include predictive conflict detection, radar and transponder integration, and compatibility with future urban air mobility systems such as eVTOLs and drones. NoamAI said it intends to work with regulators on certification of the system.
The company focuses on AI-based aviation infrastructure tools and aims to improve efficiency and resilience in global air traffic operations.

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