Fri, 15 May 2026

QuantumAI Accelerator launched in Singapore

Photo by Simon Sto FPV: https://www.pexels.com/photo/marina-bay-sands-singapore-3544415/

QAI Ventures, in partnership with Enterprise Singapore, has launched its first VC-funded accelerator and an IP-driven venture builder for QuantumAI startups. Beyond funding, the programme aims to build an ecosystem for deep-tech commercialisation in Singapore. It plays a crucial role in bridging the gap between project conceptualisation and execution, a key challenge many startups struggle with.

Alexandra Beckstein
Alexandra Beckstein

“Our model fosters entrepreneurial dynamism, drives economic growth, and empowers innovators to translate QuantumAI breakthroughs into real-world impact. The GenQ Hackathon already exemplifies this vision, bringing together leading partners such as Microsoft, DBS Bank, SoftBank, and Eraneos to build the global QuantumAI ecosystem,” Alexandra Beckstein, CEO & founder of QAI Ventures, said.

QAI Ventures’ QuantumAI Accelerator

QAI Venture’s Singapore accelerator aims to unlock US$250 billion in market value for quantum across various industries, including pharmaceuticals, finance, logistics, and materials science, according to Bain & Company. The programme also offers direct mentorship from leading global quantum technologists, VCs, and industry executives. Founders will also learn about IP strategy and product-market fit, fundraising, and corporate governance, culminating in a demonstration to global investors and partners.

Applications for the inaugural cohort are open from October 29, 2025, to March 2, 2026, for incorporated startups with at least two founders.

Venture Building Program

QAI Ventures will also launch a Venture Building Program in 2026, targeting scientists with strong intellectual property and the ambition to found a company, as well as serial entrepreneurs eager to enter the deep tech and quantum space. QAI Ventures aims to register seven new ventures in Singapore by 2027 – 3 in the first year and 4 in the second.

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