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ARCHER AVIATION LAUNCHES ZEE, AN AVIATION-SPECIFIC AI FOUNDATION MODEL TRAINED ON ADS-B, ATC AND REAL-WORLD FLIGHT DATA

Archer Aviation has announced Zee, an AI foundation model built specifically for aviation, trained on real-world operational data drawn from a global network of more than 6,000 ADS-B receivers and designed to run both offline on-device and as a server-hosted solution across air taxis, UAVs, commercial airlines and air traffic management.

AVIATION’S ‘GPT MOMENT’: A UNIFIED INTELLIGENCE LAYER FOR THE AIRSPACE

 

Archer Aviation (NYSE: ACHR) has announced Zee, an aviation-specific AI foundation model the company believes to be the world’s leading model of its kind, delivering a unified aviation intelligence platform built on ADS-B data, air traffic control communications, maps and charts, aircraft state information, terrain and weather data. Zee is trained on real-world operational data aggregated through Archer’s proprietary data pipeline and a global network of more than 6,000 ADS-B receivers.

 

Adam Goldstein, Founder and Chief Executive of Archer, said the company was building an intelligence layer for the entire aviation system with Zee, and that the company that owned the data and the foundation model would help lead the aviation industry into the next era of flight. The model is designed to understand the disparate data sources that flow through the aviation system — radio calls, navigation inputs and aircraft state data — as a single unified system rather than as isolated streams, addressing a fundamental challenge in aviation AI development. On a typical day, more than 45,000 flights move through American airspace, generating a continuous flow of data that pilots and air traffic controllers piece together in real time; Zee is built to process and contextualise this information in an integrated way.

 

TEAM: LED BY FORMER APPLE AI HEAD, ADVISED BY FORMER META AI CHIEF

 

Archer’s AI team comprises nearly 100 researchers and engineers and is led by Mario Srouji, who joined Archer after his tenure at Apple, and advised by Professor Ruslan Salakhutdinov, former Vice President of AI Research at Meta and former Director of AI Research at Apple. The team also draws on researchers with prior experience at leading AI companies across Silicon Valley and top university research laboratories. Srouji said aviation was having its GPT moment — that the current national air system was built on legacy technology and was ripe for AI innovation — and that Archer’s world-class team and industry-leading Zee foundation model positioned the company to help lead the industry transformation, unlocking new levels of safety, efficiency and scale for American airspace.

 

ARCHITECTURE: OFFLINE CAPABILITY AND MULTI-ENVIRONMENT DEPLOYMENT

 

A key architectural distinction of Zee is its ability to operate both offline, on-device and as a server-hosted solution — a characteristic the company describes as critical for use across the full range of aviation environments, from air taxis and UAVs to commercial airliners and air traffic management systems. The on-device offline capability is particularly significant for operational reliability in environments where connectivity is limited or cannot be guaranteed, including remote operations and certain airspace management scenarios. The model is designed to deliver lower latency and better performance than connectivity-dependent alternatives.

 

Archer is in discussions to deploy Zee initially through pilot programmes with governments, airlines and other industry partners, with planned applications spanning airline operations, airspace management and copilot assistance. The initiative is positioned in the context of a broader US government commitment: the Department of Transportation has committed approximately $20 billion to modernising the national airspace, a multi-year programme that Archer says Zee is built to support by bringing AI-driven intelligence to the operational decisions that currently rely on legacy technology.

Source and Images: Archer Aviation Inc

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