Augmented ATC
Intelligent monitoring of communication channels to instantly flag miscommunications or readback errors.
Leveraging AI to augment air traffic control and guide crews in our increasingly crowded airspace: in the air and on the ground. Deployable globally.
SWA233 change to FL300 to reduce turbulence
Air Traffic is Saturated & Risk-Prone
The current infrastructure struggles to keep up with modern demands, leading to cognitive overload for controllers and potential safety hazards.
Creating massive network complexity
Collision avoidance system triggers
Incorrect readbacks, misheard directives, and aircraft movement without clearance create immediate hazards on the ground and in the air.
Controllers face queuing commands and cognitive overload. Ground congestion limits efficiency and increases stress on human operators.
AI-Augmented Operations
We don't replace controllers; we give them superpowers. By processing vast amounts of data in real-time, NoamAI provides actionable insights to prevent errors before they happen.
Intelligent monitoring of communication channels to instantly flag miscommunications or readback errors.
Algorithmic management of ground movement to reduce congestion, fuel burn, and delays.
Identifying conflict patterns early to prevent high-severity alerts and reduce operational risk.
Reducing deployment time and increasing survivability in contested airspace
Current infrastructure struggles to keep up with modern demands, leading to cognitive overload and hazards for operators. The same "World Model" intelligence engine that optimizes civilian air traffic is deployed to protect high-value assets in contested airspace. Realtime Advisory: instant, AI-driven defensive strategies.
Building the next generation of aviation safety technology.
Over two decades of experience in cloud systems engineering and natural language processing. Key early contributor to two startups which were acquired and an inventor on multiple filed patents. Degree in Nuclear Engineering with minors in math and physics, University of Illinois. Private pilot training.
CEO, Co-Founder
Data scientist and ML engineer with applied research experience in time-series and sequential modeling and deep learning. Built and deployed production AI systems end-to-end. MSc in Computer Science, Duke University; former AI Fellow.
CTO, Co-Founder
We're supported by a great team of aviation and technology professionals.
Whether you're an investor, work within aviation, or are interested in joining our team, we'd love to hear from you.
team@noamai.com