The Problem

Half a century of NO-EVOLUTION in baggage handling

Although aviation has advanced dramatically over the past few decades, baggage handling in narrow-body planes (about 70% of the global passenger fleet) remains largely unchanged since the 1960s. Every day in the U.S., ground crews crawl into cramped 4-foot cargo holds roughly 20,000 times. It’s the leading cause of ground crew injuries and a major contributor to flight delays:

  • Workforce strain - High labor costs, constant employee turnover, frequent injuries (≈8 per 1,000 flights), and systemic inefficiencies. Ramp crews are also vulnerable to weather disruptions, often pulled off duty during severe weather or nearby lightning.
  • Turnaround delays - Baggage handling is the single largest source of delays and the longest activity in the turnaround process. Every extra minute on the ground costs airlines hundreds of dollars. Improving turnaround efficiency unlocks higher aircraft utilization for airlines and increases airport capacity, enabling more flights per day.
  • No baggage visibility - There’s no reliable data on luggage location inside the hold. When a bag must be removed for safety reasons or because a passenger doesn’t board, finding it is like searching for a needle in a haystack.

The result: airlines lose money, airports lose efficiency, and workers face unsafe conditions. all because baggage handling hasn’t evolved in half a century.

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Our Solution

Automating baggage handling for narrow-body aircraft

Our system combines AI-powered capabilities with unparalleled mechanical engineering to fully automate the loading and unloading of aircraft cargo compartments. Compatible with any narrow-body aircraft, with no modifications required, it delivers faster turnarounds, fewer injuries, and higher aircraft utilization. It’s the missing piece in modernizing ground operations.

How It Works?

Our system combines AI-powered capabilities with unparalleled mechanical engineering to fully automate the loading and unloading of aircraft cargo compartments.

  • Stage One – MagicNET©
  • Clears the congestion. Luggage buildup is shifted outside the cramped cargo compartment, enabling more efficient, smoother, and safer processing. No modifications are required to existing ground equipment or aircraft baggage compartments.

  • Stage Two – SmartBundler©
  • Bundles automatically. Luggage is grouped efficiently into smart bundles, ready for fast and organized loading. An add-on unit mounts seamlessly onto the baggage belt loader, while a vision system optimizes the loading process.

  • Stage Three – SmartNET©
  • Autonomous placement. Bundles roll seamlessly into their final position inside the compartment, optimizing space and minimizing manual labor. The entire process is monitored and controlled from a central command room.

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    The Opportunity

    A trillion-dollar industry, where efficiency is king, still running on 1960s ground operations

    Narrow-body aircraft like the Boeing 737 and Airbus A320 account for over 70% of global passenger flights. In 2024, Boeing 737 aircraft alone flew 10 million flights, while the Airbus A320 completed 7.9 million flights (IATA). Each of these flights still relies on manual baggage handling, which contributes to airlines regularly missing their own turnaround targets (a major pain point for operators and passengers alike).

    The demand for automation is urgent. Airlines and airports are under pressure from labor shortages, rising operational costs, and the need for faster, safer ground operations. At the same time, a growing ecosystem of startups and terminal automation solutions is emerging, complementing our on-ramp efforts to achieve a flawless, end-to-end automated baggage flow. Automated baggage handling is not just an improvement, it’s the critical missing link in modernizing airport operations.

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    Solving a 50-year problem

    "Being able to schedule flights consistently 55 minutes apart vs. 60 minutes can allow an additional flight per aircraft per day. That's additional revenue at minimal incremental cost."

    Gareth Joyce, Delta airlines executive

    Allowing narrow-body aircraft to reach their full potential.

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    Niv Schwartz - CEO

      Niv is a seasoned business development and strategy expert with a unique blend of technology, leadership, and aviation experience. At Mobileye, he served as a strategic advisor, shaping future autonomous driving products, sensors, and HD maps. Previously, at HP, he led product development and successfully launched the HP Indigo Series 4, the company’s top-earning product line. Holding an MBA in Finance from Reichman University, Niv combines strong analytical and strategic skills with hands-on leadership. A retired Air Force pilot with 20 years of service, he brings a broad global aviation network and proven operational discipline.

    Liran Raizer - CTO

      Liran is an ccomplished technology leader and problem-solver with nearly 30 years of cross-industry experience, known for his sharp focus on performance and delivery. As founder and later CEO and CPO of BionicHIVE—an Amazon-funded company—he led the design of advanced robotic warehousing solution. He has a proven track record in R&D and operational leadership across robotics, UAVs, autonomous systems, vision, and AI. His expertise spans multidisciplinary R&D and integration, deep tech innovation scouting and research, intellectual property and patent strategy, complex engineering, product design, and go-to-market and international growth strategies.