October 31, 2025
Japfa has launched its AI & Quantum Computing Centre of Excellence (CoE) in Singapore, with the support of Enterprise Singapore (EnterpriseSG) and the Singapore Economic Development Board (EDB).
The CoE connects Japfa with Singapore’s vibrant innovation ecosystem - including the Singapore Institute of Technology (SIT), Nanyang Polytechnic (NYP), and AngelQ, a Singapore-based quantum computing start-up - to apply AI, quantum computing and data science in livestock production. The goal: to gain deeper insights, improve operational efficiency, ultimately strengthening regional food security.
The collaborations were formalised at SWITCH 2025, Singapore’s flagship innovation and technology event.
Through this initiative, Japfa is advancing its digitalisation journey and leveraging deep-tech technologies to address real-world challenges in livestock and food production. Pilot projects in Vietnam and Indonesia are already testing how these technologies can enhance farm operation performance - for example by leveraging AI to enable real-time monitoring of farm operations.
Under these collaborations, Japfa and its partners will work together on three areas:
With SIT: advancing applied AI research for food processing quality inspections using computer vision;
With NYP: developing sensor and AI prototyping solutions, as well as digital talent through training programmes and professional development;
With AngelQ: exploring how quantum computing can optimise operations, including benchmarking against Japfa’s current AI models.
“Technology and data are redefining how we produce food” said Tan Yong Nang, Chief Executive Officer of Japfa. “For us, this is much more than running our operations more efficiently. With the support of Enterprise Singapore and the Singapore Economic Development Board, and through the collaborations that we are announcing today, we are bringing together applied research, technology and industry expertise to gain further insights to turn ideas into practical solutions that deliver real operational impact.”
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