The National University of Singapore (NUS) has unveiled a groundbreaking Venture Capital (VC) Programme, a first for any university in Asia, to strengthen the growth pipeline for deep tech start-ups emerging from research and development. With a total commitment of SG$150 million, the initiative is designed to support high-potential ventures within the NUS ecosystem and address critical funding gaps that often hinder early-stage innovation across the region. (opengovasia.com)
In a challenging investment climate where venture capital funding in Asia has dropped to a decade low of SG$85 billion, with early-stage investments falling 5% to SG$38 billion in 2024, the NUS VC Programme offers a timely intervention. Research-based start-ups, in particular, face unique obstacles: long R&D cycles, high technical risk and the need for sustained support beyond the proof-of-concept phase. The new programme aims to provide both capital and expert guidance to navigate these challenges.
Anchored by NUS Enterprise, the university’s entrepreneurial arm, the initiative consists of two key components. First, NUS will allocate SG$50 million over three years to selected venture capital firms with demonstrated expertise in early-stage deep tech investments. These firms will work closely with start-ups, offering hands-on venture-building support that includes access to networks, operational mentoring and strategic guidance.
The second component involves a SG$100 million autonomous investment fund, established to back NUS-affiliated start-ups directly. This fund offers flexibility to co-invest alongside selected VC partners, ensuring that promising ventures receive the capital and support necessary to scale effectively.
The programme will particularly benefit start-ups emerging from the National Graduate Research Innovation Programme (National GRIP), a platform that empowers researchers to transform lab-based discoveries into globally competitive, market-ready ventures.
While National GRIP currently provides up to SG$250,000 in seed funding per start-up, many ventures require continued investment and structured support to advance toward commercialisation. The new VC Programme addresses this gap by focusing on post-seed growth and long-term scalability.
What distinguishes the NUS initiative is its strategic alignment of capital, research and specialised venture expertise. Selected venture capital partners bring not only funding but also access to global innovation hubs and experience in scaling deep tech ventures. Their structured support includes mentorship, investor feedback, market entry strategies and operational insights, elements critical to building resilient, innovation-driven companies.
According to NUS, this integrated model is intended to create a more complete and sustainable pathway from research to real-world impact. By fostering direct collaboration between academic innovation and experienced venture investors, the programme is expected to enhance the university’s ability to translate scientific breakthroughs into scalable solutions with global relevance.
In launching this initiative, NUS underscores its commitment to shaping Asia’s innovation landscape through sustained investment in deep tech. The Venture Capital Programme builds on the university’s established entrepreneurial infrastructure, offering a new model for how academic institutions can actively participate in advancing high-impact technologies from the laboratory to the global market.
NUS stands at the forefront of cutting-edge research, harnessing the latest in deep technology to drive innovation and develop real-world solutions. Through its robust ecosystem of interdisciplinary research, advanced laboratories and translational platforms, the university continues to pioneer breakthroughs that address complex global challenges.
As OpenGov Asia reported, one example of NUS’s commitment to deep tech innovation is its collaboration in developing the Tumour Immune Microenvironment Spatial (TIMES) score, an advanced AI-powered system that predicts liver cancer recurrence with high accuracy. By combining spatial biology with machine learning, the system analyses tumour tissue to identify relapse risk, enabling earlier and more targeted intervention.
Such innovations exemplify how NUS and its research ecosystem are advancing deep tech solutions with tangible global impact, from the lab bench to real-world deployment across healthcare, sustainability and digital transformation.
