NEWS
Cathay spins off Cathay Technologies with Electronic Flight Folder solution
Cathay’ s digital leadership journey has taken another step forward with the establishment of Cathay Technologies, a new subsidiary created with the goal of bringing Cathay’ s innovative digital solutions to the wider aviation industry.
Cathay Technologies’ flagship product is the Electronic Flight Folder, EFF, which has been designed and developed in-house by our own aviation professionals who understand the unique challenges of the industry. First developed in 2019, the EFF
has revolutionised how pilots access and manage flight information, resulting in faster turnaround times and significant cost savings through workflow optimisation.
The EFF is now trusted by pilots across the Cathay Group’ s airlines, including Cathay Pacific, Cathay Cargo, HK Express and Air Hong Kong. The establishment of Cathay Technologies marks the next step in commercialising the product to the wider industry.
In a significant first move, Cathay Technologies has forged a strategic partnership with the Hong Kong Science and Technology Park, HKSTP on its Co- Acceleration Programme Fund. Cathay Technologies is among four investing firms and enterprise partners of the Co-Acceleration Programme Fund, which was launched at a ceremony at HKSTP on 7 April 2025.
Cathay General Manager Digital Ventures and Cathay Technologies Chief Executive Officer Navin Chellaram said:“ Cathay has a long-standing commitment to supporting Hong Kong’ s technology ecosystem and fostering innovation and economic growth in the wider Greater Bay Area, including through our signature Cathay Hackathon and our successful graduate trainee programme.
As a strategic partner of the HKSTP Co-Acceleration Fund, Cathay Technologies will explore potential proof of concept opportunities with relevant startups, in addition to providing strategic advice and industry insights. Additionally, through its direct investment to the fund, Cathay Technologies offers financial support that will help startups scale their operations and bring their products to market.
HITEK AI, part of Farnek, launches Predictive Maintenance and Anomaly Detection
Middle East-based HITEK AI, a part of the Farnek group of companies, has launched its latest innovative solution, the Predictive Maintenance and Anomaly Detection System, which is now available within its CAFMTEK platform.
This AI-driven tool is designed to empower facilities managers, engineers and maintenance professionals, by enhancing the operational efficiency and reliability of MEP assets including HVAC, Main Distribution Board, MDB assets as well as many others.“ By adopting CAFMTEK’ s Predictive Maintenance and Anomaly Detection System, businesses can transform their maintenance strategies from reactive to predictive. This innovative approach empowers professionals with the tools needed to reduce breakdowns, optimise operations, increase residents’ comfort and drive cost-effective results,” said Javeria Aijaz, Managing Director of HITEK AI.
Using cutting-edge machine learning models, the system predicts potential failures, detects anomalies, and provides actionable insights that enable predictive maintenance. It focuses on critical metrics unique to each asset type, providing facility managers with clarity and control over building operations.
For HVAC, the platform analyses supply temperature and supply fan data in realtime to anticipate potential failures. It also provides early alerts when failure probability scores trigger alerts when thresholds are breached, enabling timely intervention.
When it comes to MDB assets, real-time data for metrics such as total kWh, power factor, voltage, and current are compared against dynamic thresholds derived from historical data.
In addition, alerts highlight specific metrics causing anomalies, aiding faster and
Javeria Aijaz
more accurate diagnostics. And monthly energy consumption trends are evaluated, revealing inefficiencies or unexpected changes in performance.
The system has also introduced a tailored Preventive Planned Maintenance, PPM strategy by analysing failure histories and patterns. It dynamically recommends maintenance cycles based on equipment performance, from monthly schedules for frequent issues to annual checks for occasional or adhoc failures.
6 www. intelligenttechchannels. com