PetLibre launches Granary 2 series, with artificial intelligence and digital scales reshaping home feeding devices

PetLibre’s pet-care devices are moving toward integrating computer vision and built-in scales to turn traditional feeding bowls into precise health-monitoring platforms, as shown by the launch of its new Granary 2 line for dry food. The four-model series, priced between $129.99 and $249.99, marks a tangible shift in the smart-feeder category: scheduled food dispensing is no longer sufficient to compete, and AI cameras that track nutritional indicators have become a core standard for home products that house multiple pets.

The most notable upgrade in these devices is the inclusion of an internal scale that accurately measures the amount of food remaining in the bowl, overcoming previous devices’ inability to know what the animal actually consumed.This sensor enables the system not only to log the time a meal is dispensed, but also to calculate eating duration, eating speed, meal frequency, and preferred feeding times. Through the companion app, a digital record of feeding patterns is built with daily, weekly, monthly and yearly dashboards, making it easier to spot subtle appetite changes or routine disruptions that might otherwise go unnoticed, thereby providing pet owners with precise data for monitoring weight and dietary behavior.

In terms of hardware, the line offers the base Granary 2 model at $129.99 with app-based control, portion splitting and consumption tracking, while the Vision model at $189.99 adds an AI camera that can recognize up to ten cats and automatically track each one’s feeding habits. The Vision Duo, priced at $199.99, provides two separate dispensers with independent bowls for feeding multiple pets simultaneously, and the premium Granary 2 X at $250.00 relies on smart recognition to deliver customized portions for each animal according to its nutritional needs, opening the food bowl only when the registered pet approaches.

The system includes two main feeding modes: a smart refill mode that keeps small fresh amounts in the bowl all day and stops automatically once the daily limit is reached, and a traditional scheduling mode that sets specific meal times and precise portion sizes, with a manual button available for dispensing out-of-schedule servings. The 1080-p camera offers night vision and two-way audio for remote communication, as well as the ability to record a short voice clip that plays when food is dispensed, and it sends instant app notifications for low battery, depleted grain supply or dispenser blockage, alongside an integrated rechargeable backup battery to ensure operation during power outages.

The prevailing business model reveals hardware companies’ attempts to tie advanced features to ongoing subscription fees, which raises the devices’ effective cost over time.Access to the advanced tracking and health-monitoring features requires a PetLibre Care subscription starting at $59.99 per year, while cloud logging and video-retrieval services need a cloud package costing $119.99 annually. In the market, lower-cost alternatives such as the Bosink device at $79.99 stand out; it relies on a built-in scale to adjust portions and prevent under- or over-feeding without complex cameras.

For the retail sector and consumers in the Gulf, Egypt and the Levant, this development forces a reassessment of the viability of acquiring smart hardware that relies on cloud services priced in dollars. The accumulation of annual subscription fees places consumers in front of an ongoing operating cost that exceeds the initial purchase price, which enhances the competitiveness of devices that perform mechanical weighing functions locally without a mandatory subscription. It also gives electronics importers and specialized stores in the region a clear indication of the need to diversify their offerings between advanced monitoring hardware and cost-effective solutions, with the possibility that veterinary clinics and local solution developers may benefit from this shift by providing advisory services that rely on analysis of home nutrition data.