As global food systems face mounting pressure from population growth, climate uncertainty, disease outbreaks, and supply chain disruptions, technology is emerging as a critical tool for improving agricultural productivity and ensuring food security. At the forefront of this transformation is BNOW, a Seoul-based animal biodata artificial intelligence company that is pioneering a data-driven approach to livestock management through the collection and analysis of real-time animal biometric data.
BNOW is redefining how livestock are monitored and managed by moving beyond traditional farming practices that often rely on manual observation, periodic health checks, and fragmented farm records. Through advanced biosensing technologies and AI-powered analytics, the company is building a comprehensive remote animal management platform designed to provide farmers, food companies, and supply chain stakeholders with continuous visibility into the health and productivity of individual animals.
The company’s approach is based on a simple but powerful concept: understanding animals through their biological signals. By collecting real-time biometric data directly from livestock, BNOW enables more accurate and timely decision-making that can help prevent disease outbreaks, improve productivity, reduce losses, and strengthen food supply reliability across agricultural value chains.
Addressing Food Security from the Farm Up
As countries around the world seek to improve food security, attention is increasingly shifting from production volume alone to the resilience and predictability of entire food supply systems. This challenge is particularly relevant for Singapore, a nation that imports the majority of its food and has made food security a national priority through diversification of supply sources and investment in agricultural innovation.
While local food production remains an important component of Singapore’s strategy, ensuring a stable and resilient food supply requires visibility far beyond national borders. Food security for import-dependent markets begins at the farm level, where livestock health, reproductive performance, disease management, and production efficiency directly influence future food availability.
Unhealthy animals, undetected diseases, and production inefficiencies can lead to significant supply disruptions that ripple throughout regional food networks. As a result, technologies that improve farm-level monitoring and predictability are becoming increasingly valuable tools for governments, producers, and food companies seeking to build resilient food systems.
BNOW’s animal biodata AI platform is designed to address these challenges by providing actionable insights that improve livestock management while creating greater transparency across agricultural supply chains.
LiveCow: Transforming Cattle Management Through AI
The first commercial solution developed under BNOW’s broader Live X initiative is LiveCow, an AI-powered livestock health data platform specifically designed for cattle operations.
At the heart of LiveCow is an ingestible IoT biosensing capsule that is administered to cattle and continuously collects internal biometric information. Unlike external monitoring systems, the capsule gathers physiological data directly from within the animal, providing a more detailed and accurate understanding of health conditions and biological changes.
The collected data is transmitted to the LiveCow platform, where artificial intelligence algorithms analyze the information and generate predictive insights for farmers and livestock managers.
Among its key capabilities are estrus detection, disease risk monitoring, and calving prediction. Early identification of estrus cycles helps farmers improve breeding efficiency and reproductive performance, while disease monitoring enables faster intervention before health issues become severe. Calving prediction tools allow producers to better prepare for births, reducing complications and improving outcomes for both cows and calves.
By providing continuous health intelligence, LiveCow helps farmers make informed management decisions that can reduce production losses, lower operational costs, and increase overall herd productivity.
Building a New Model for Regional Food Security
Beyond individual farms, BNOW sees its technology as a foundation for a new model of regional food security. Rather than focusing exclusively on increasing domestic food production, the company advocates for strengthening food resilience through enhanced visibility and monitoring across supplier-country farms.
For Singapore, this approach could provide a strategic advantage by offering deeper insights into the health and productivity of livestock operations located in key food-exporting nations. Access to real-time animal biodata could help identify potential supply risks earlier, allowing stakeholders to respond proactively to emerging challenges.
BNOW aims to deploy its animal biodata AI solutions across farms located throughout regional supply chains, including major agricultural markets such as Vietnam, Australia, and other countries that play important roles in supplying food to Singapore and neighboring economies.
Through improved monitoring and predictive analytics, the company believes food supply networks can become more transparent, stable, and resilient against disruptions caused by disease outbreaks, environmental conditions, or operational inefficiencies.
Expanding Global Reach and Innovation
BNOW has been actively expanding its international footprint through strategic partnerships, industry collaborations, and participation in global innovation programs.
The company recently showcased its technologies at Echelon Singapore 2026, one of Asia’s leading technology and startup events, where it engaged with investors, industry stakeholders, and potential partners interested in agricultural innovation and food security solutions.
In addition, BNOW is pursuing collaboration opportunities in Vietnam, a rapidly growing agricultural market that plays a significant role in regional food production. These partnerships are expected to support broader adoption of animal biodata technologies and contribute to the development of smarter livestock management systems across Southeast Asia.
The company’s ambitions extend beyond cattle farming. Under its Live X platform strategy, BNOW is preparing to expand its AI-powered animal monitoring technologies into other livestock sectors, including pigs and poultry. This expansion is intended to create a scalable and unified infrastructure for remote animal health and productivity management across multiple species.
Such a platform could provide producers with standardized monitoring tools, advanced predictive analytics, and integrated management capabilities, helping modernize livestock production on a global scale.
A Vision for Resilient Food Systems
According to BNOW CEO Donghyun Choo, long-term food security depends on improving conditions at the production level rather than focusing solely on consumption and distribution.
“Food security cannot be solved only at the point of consumption. It must be supported by healthier, more productive, and more predictable farms across the region,” Choo said.
He emphasized that BNOW will continue advancing animal biodata AI technologies that enable farmers to reduce losses, enhance productivity, and strengthen livestock management practices. By combining real-time biometric monitoring with artificial intelligence, the company aims to support the creation of more resilient agricultural systems capable of meeting growing food demands while improving supply chain stability.
As governments, food companies, and agricultural producers increasingly seek innovative solutions to address food security challenges, BNOW’s data-driven approach represents a significant step toward a future where livestock health, productivity, and supply chain resilience are powered by intelligent, real-time biological insights. Through continued innovation and regional collaboration, the company is positioning itself as a key contributor to the next generation of sustainable and secure food systems.
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