aerostack

Search Aerostack

Norwegian

Rydoo Accounts Payable AI invoice automation at Norwegian

MidAmerica St. Louis

GoodMaps indoor navigation at MidAmerica St. Louis Airport

Lyon Saint-Exupéry Airport

Stan robotic valet parking at Lyon Saint-Exupéry

London Heathrow

Facial-recognition eGates at Heathrow

Almaty International Airport

Q-Gate biometric passport-control terminals at Almaty

Pittsburgh International Airport

Arrow Analytics EZ-Board computer-vision carry-on analytics test at PIT Gate A7

Federal Aviation Administration

FAA SMART airspace and trajectory management platform

Dubai International

Dubai Police AI systems for passenger screening, unattended baggage and camera analysis at Dubai airports

Technology supplier · Startup

IntellAct

Ground Operations

IntellAct, a Jerusalem start-up, uses deep learning on existing CCTV to detect turnaround tasks and ground equipment in real time.

Founded in 2017 with a team of two and backed by Cockpit Innovation, EL AL's venture arm, and OurCrowd, it used EL AL's premises at Tel Aviv as a beta site. In December 2024 Indra integrated its detection into Indra's Airport Operations Platform for testing under SESAR. No activity since then was found, and no commercial deployment is named.

Aviation AI deployments and updates

01 / Pilot

IntellAct AI turnaround video analytics pilot at Ben Gurion

EL AL · IntellAct

El Al, an investor in IntellAct, ran a successful pilot of the startup's AI video-analytics system for turnaround monitoring at Ben Gurion Airport, IntellAct's founder told the Times of Israel in March 2025.

View supporting sources (1)

Times of Israel

Products & Solutions

1 product

AI-Powered Turnaround Monitoring Solution

An AI middleware platform that uses computer vision and GIS analytics applied to existing airport CCTV camera infrastructure to monitor aircraft turnaround activities in real time.

The problem it addresses

Airlines, airports, and ground-handling teams lack real-time visibility into the turnaround process, relying on manual reporting that misses bottlenecks and safety deviations. Flight delays caused by turnaround inefficiencies cost airlines over $68 billion annually. The product automates detection and reporting of each turnaround task, enabling data-driven responses to delays before they escalate.

Key features
  • Real-time AI video analytics of all turnaround tasks Above and Below the Wing using existing CCTV infrastructure
  • GIS-based detection of exact start and completion timestamps for each turnaround service
  • Automated real-time alerts to stakeholders when service delay or safety violation is detected
  • Actionable mitigation plans delivered to existing stakeholder user interfaces
6 more features
  • Integration with A-CDM and Total Airport Management systems (standalone mode also available)
  • Predictive Target Off-Block Time (TOBT) accuracy improvement using historical and real-time data
  • Detailed post-operation service reports covering cargo loading, passenger counts, boarding rate, and other turnaround metrics
  • SLA compliance verification and automated billing support for ground handlers
  • GPU-optimized algorithms to minimize infrastructure overhead
  • Support for monitoring over 200 turnaround event types per documented MIA deployment
Technical specifications (8)
  • AI middleware architecture (cloud-based deployment referenced)
  • Deep learning video classification algorithm for turnaround task detection
  • GIS detection capabilities for precise event timing
  • Leverages existing CCTV camera infrastructure, no proprietary camera hardware required
  • Real-time processing with low-latency alert delivery
  • Integration API compatible with A-CDM and Airport Operations Platform (AOP) systems, including Indra AOP
  • Historical data analytics and machine learning for recurring delay pattern identification
  • Mobile app interface referenced in product listing
Verified deployments
EL AL (LY) – IntellAct AI turnaround video analytics pilot at Ben Gurion
Product documentation

Profile data from the Aerostack companies register; deployment records from the verified register. Evidence grades: T1 first-party confirmation, T2 credible reporting. See Our approach for how records are graded.

Aerostack tracks AI deployments across airports and airlines, with the published evidence behind each record. Photography is real aviation imagery. Record thumbnails may show the named airport or airline; other photographs do not.