Week 36: Asia Top Startup Funding Rounds Led by Sunrise

techloy.com Sep 4, 2026

Week 36: Asia Top Startup Funding Rounds Led by Sunrise

Curated by Shubham · TechCapsules · Sep 4, 2026

AI-summarised brief · reviewed before publication

Asia’s startup ecosystem raised $430.8 million in week 36, spanning semiconductors, AI, healthtech, electric mobility, aerospace, clean tech and enterprise software. China’s AI‑chip maker Sunrise led the pack with a $280 million round that nearly doubled its valuation to roughly RMB 20 billion, bolstering domestic high‑performance computing capacity. India saw three sizable deals: health‑intelligence platform Ultrahuman secured $70 million from Qualcomm Ventures and others to advance wearable sensing and AI‑driven clinical research; battery‑swapping firm Yuma Energy raised $35 million, led by Magna International, to expand its BaaS network for two‑ and three‑wheelers; and Bengaluru‑based Kepler Aerospace obtained $8 million for autonomous satellite swarms. Chinese robotics startup UBTECH closed a $13.9 million Series A+ round to fund next‑generation robot development.

💡 Why It Matters

· The influx of capital into AI chips and battery‑as‑a‑service highlights Asia’s push to control critical hardware supply chains and accelerate electrified transport, reshaping global tech competitiveness.

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AI compute provider Nscale is looking for $3.5B in pre-IPO financing

Nscale, a two-year-old British AI infrastructure firm, is preparing for a potential initial public offering as early as this month. Ahead of the listing, the company is negotiating a $3.5 billion pre-IPO financing round. Bloomberg reports Nscale seeks $1.5 billion in convertible notes from investors and an additional $2 billion from Nvidia. Nvidia previously participated in Nscale’s record-breaking $1.1 billion Series B round in March. The company’s earlier Series A raised $155 million in December 2024. Nscale recently secured a significant deal with Anthropic valued at approximately $45 billion. While not current sales, this figure represents projected revenue from signed customer leases, totaling roughly $103 billion. TechCrunch contacted both Nscale and Nvidia for comment regarding these developments. The rapid capital raise underscores the intense demand for AI compute resources. Nscale aims to leverage this funding to expand its infrastructure capabilities amidst growing industry competition.

💡 Nvidia’s potential $2 billion investment signals a strategic shift toward financing downstream infrastructure partners rather than just selling hardware. This move validates Nscale’s massive lease-based revenue projections, offering a new blueprint for how AI compute providers can secure capital against future contracts instead of current cash flow.

bmmagazine.co.uk · Sep 4

Nvidia to buy Hugging Face for $12.9bn in bet on open AI…

Nvidia has agreed to acquire New York-based developer platform Hugging Face for $12.93 billion, marking one of the chipmaker’s largest acquisitions to date. Announced on September 3, the deal grants Nvidia ownership of a critical hub where developers collaborate, test, and share open AI models. Under the agreement, Nvidia will pay approximately $11.9 billion to Hugging Face’s investors, including Intel and Amazon, while offering up to $1 billion in equity-based retention for employees. Founded in 2016 by French entrepreneurs, Hugging Face provides essential datasets, software libraries, and cloud services. Nvidia CEO Jensen Huang pledged that the platform would remain open and that Nvidia chips would not be mandatory for its use. The acquisition aims to provide Nvidia with direct insight into developer preferences and trending models, helping it maintain competitiveness against leading American and Chinese AI labs amid growing demand for cost-effective, open-weight models.

💡 Securing Hugging Face allows Nvidia to monitor emerging AI architectures and developer trends weeks before they reach mainstream attention, providing a strategic intelligence advantage over rivals. This move also hedges against declining chip demand as major tech clients develop proprietary hardware, ensuring Nvidia remains central to the open-source AI ecosystem despite geopolitical tensions and internal competition.

chiangraitimes.com · Sep 4

Singapore Continues to Leads the Regional Blockchain Ecosystem

Singapore has captured 82.5% of Southeast Asia’s blockchain funding, hosting 2,285 of 3,957 regional startups, according to recent data. The city-state’s regulatory clarity and robust financial infrastructure attract capital and founders, leaving neighbors like Jakarta, Bangkok, and Kuala Lumpur far behind. Jakarta accounts for 3.0% of funding and hosts over 120 companies, signaling modest growth. Singapore’s dominance reflects proactive government initiatives and precise guidelines from the Monetary Authority, positioning it as the region’s premier Web3 hub.

💡 Singapore’s lead reshapes investment flows, concentrating venture capital and talent in one jurisdiction and setting a benchmark for regulatory frameworks in emerging digital economies.

cnbc.com · Sep 4

A ‘shakeout’ in early-stage AI may be coming as VC money gets…

Venture capital investors are expected to become significantly more selective regarding early-stage artificial intelligence companies over the next six to twelve months, according to industry experts. Jakub Nytra of Purple Ventures predicts a market shakeout as capital flows away from businesses that merely feature AI toward those generating genuine value. David Ng of Arki Finance emphasizes that end-user applications must demonstrate sufficient productivity, revenue, and cash flow to justify current investments. While the AI boom continues to drive semiconductor and infrastructure spending, concerns about a potential bubble persist due to excessive valuations and unsustainable growth figures. Nytra argues that only companies solving complex, expensive problems deserve extraordinary valuations. He cites TASS Vision, which uses edge AI to analyze retail customer movement, as an example of legitimate value creation. Shane Chesson of Openspace Capital notes that even if a bubble bursts, the resulting infrastructure will remain beneficial, though FOMO-driven investments may suffer significant losses.

💡 This shift forces startups to prove tangible economic utility rather than relying on hype to secure funding. It separates sustainable AI infrastructure from speculative ventures, ensuring long-term industry stability.

thequantuminsider.com · Sep 4

Quantum Strategies Are Converging As China Turns to Venture Capital Model to…

China has integrated venture‑style financing into its state‑led quantum strategy, creating three regional funds that collectively hold about $17.5 billion. The funds, established under the National Venture Capital Guidance Fund, target strategic technologies—including quantum, AI, semiconductors, biotech, aerospace, and future energy—across the Beijing‑Tianjin‑Hebei, Yangtze River Delta, and Guangdong‑Hong Kong‑Macao Greater Bay Area. Each fund aims to invest 50 billion yuan, with 70 % earmarked for seed‑stage and early‑stage quantum companies, and plans to support over 600 sub‑funds nationwide.

💡 By blending public capital with private investment, China seeks to bridge the long development cycle of quantum tech, positioning itself to compete with U.S. government‑backed initiatives and accelerate the commercialization of quantum products.

techcrunch.com · Sep 4

Accel reportedly in talks to lead $1B round for Thinking Machines at…

Thinking Machines, the AI lab founded by former OpenAI CTO Mira Murati, is negotiating a $1 billion funding round at a valuation of at least $40 billion, according to The Information. Existing investor Accel is expected to lead the round, which would place the company below the $50 billion valuation it sought last year. The startup’s annual revenue run rate exceeds $100 million, giving the valuation a very high revenue multiple. The company previously raised $2 billion at a $12 billion valuation, led by Andreessen Horowitz, Nvidia, GV, Lightspeed, and Conviction Partners.

💡 The deal underscores the continued appetite for high‑valuation AI startups, even when revenue multiples appear extreme. It also signals Accel’s confidence in Murati’s leadership and the potential of Thinking Machines’ open‑weight model, Inkling, to reshape how AI services are monetized.