
Developed in collaboration with Aprecomm.ai, this new offering integrates a cutting-edge router operating system called ACT Zippy
ACT Fibernet, a leading internet service provider, has launched ACT SmartWi-Fi, an innovative solution designed to enhance in-home Wi-Fi connectivity using artificial intelligence (AI). Developed through a strategic partnership with Aprecomm.ai, this groundbreaking solution incorporates ACT Zippy, a next-generation router operating system engineered to redefine Wi-Fi performance by leveraging cutting-edge technology and AI-driven capabilities.
ACT Zippy transforms conventional Wi-Fi routers into intelligent systems capable of delivering uninterrupted, high-speed connectivity across devices and applications. The system employs AI-powered features such as real-time interference detection, automatic channel switching, and band steering to ensure optimal performance. This proactive approach aims to tackle connectivity challenges, offering a smoother and more reliable internet experience for users.
Highlighting the significance of this upgrade, Ravi Karthik, Chief Marketing and Customer Experience Officer at ACT Fibernet, stated, “With more connected devices in households today, delivering exceptional Wi-Fi performance is essential. ACT SmartWi-Fi adapts to the unique layout of each home to provide consistent connectivity for all devices.”
To promote the new solution, ACT Fibernet has unveiled a vibrant mascot, ACT Zippy, symbolizing the company’s focus on innovation and dependable service. The launch is supported by a comprehensive marketing campaign spanning digital platforms, outdoor media, the ACT app, and the company website.
Starting January 10, new customers in select cities will automatically be enrolled in the ACT SmartWi-Fi platform, while eligible existing customers will receive phased updates at no extra charge.
Operating across more than 30 cities, ACT Fibernet serves over 2.3 million customers and continues to prioritize high-speed, reliable internet solutions tailored to modern needs.
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