NUS Enterprise launches new AI platform to speed up research commercialisation, rebrands as NUSX
Rebranding part of its evolution into integrated venture-building and IP commercialisation platform.
The National University of Singapore's enterprise arm, NUS Enterprise, has introduced an artificial intelligence platform called Nova. The platform aims to accelerate the commercialization of university research by significantly reducing the time required for assessing and commercializing innovations, from weeks to mere minutes.
Developed in collaboration with AI infrastructure company Zima Labs, Nova utilizes advanced technology to analyze patents, evaluate licensing potential, and identify suitable licensees based on market fit. NUS Enterprise's senior vice-president for innovation and enterprise, Tan Sian Wee, emphasized the importance of translating research into marketable opportunities and connecting founders with the necessary resources for scaling.
The platform can generate tailored proposals for potential partners and highlight patent limitations, streamlining the commercialization process. In addition to the Nova platform, NUS Enterprise is rebranding itself as NUSX, reflecting its transformation into an integrated venture-building and intellectual property commercialization platform.
NUSX has established a partnership with Munich-based start-up hub UnternehmerTUM and will open a second global outpost in the German city. This strategic move aims to bridge the gap between Singapore's deep tech ecosystem and Germany's entrepreneurial landscape. NUSX will also explore the possibility of setting up a representative office in Shanghai and seeks to strengthen its venture capital program by welcoming a Munich-based VC firm as its fifth partner.
Dr. Tan expressed optimism about the collaborative efforts between the universities and businesses, stating that reciprocal outposts, deeper investment links, and opportunities for students and startups will foster stronger connections.
Written by urgent.news from Straits Times Business's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.