Insight

What CVCF 2026 Has in Store for Startups, Investors and AI Innovators

Join us at CVCF 2026 to explore how startups can scale and win in the age of AI.

Updated

October 28, 2026 6:18 PM

CVCF 2026 takes place on 4–5 November at Cyberport, Hong Kong. IMAGE: CYBERPORT

AI can help you build a startup, but it won’t automatically make you stand out. When everyone has access to similar tools, you need to give customers a reason to choose you and investors a reason to back you. So, how do you turn innovation into a competitive edge?

That question sits at the heart of Cyberport Venture & Capital Forum (CVCF) 2026, taking place on 4–5 November under the theme “Scaling in a Changing World: Winning the Next Competitive Cycle” and the message “Scale Up & Win.”

The two-day forum will feature more than 80 speakers discussing venture investment, AI-driven growth, emerging technologies and expansion into new markets. Day 1 will explore global investment trends and the next wave of innovation. Day 2 will feature CVCF 2026’s spotlight event, the Agentic Economy Summit, examining how agentic AI and digital assets could reshape business and finance. The wider programme will also include investor matching, founder pitches, 100+ Innovator Showcase, startup workshops and clinics.

With founders and investors navigating a fast-changing technology landscape, CVCF 2026 will explore what it takes to stay competitive, scale into new markets and turn emerging opportunities into business growth. Here’s a look at the key programmes lined up for this year’s forum.

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CVCF 2026 will explore investment trends, global expansion, AI and digital assets. IMAGE: CYBERPORT

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nside CVCF 2026: Meet Investors, Discover Startups and Explore What’s Next

Keynotes and Panels: Finding the Next Big Opportunity

Taara founder and CEO Mahesh Krishnaswamy will deliver the keynote The Innovation Playbook: Capitalizing on Moonshots and Faster Cycles in the Age of AI. The wider Day 1 programme will cover global investment trends, expansion into new markets, agentic AI and one-person companies.

For startups navigating the AI market, the panel Mastering the AI Bubble: Capital Rerouting and How Global Champions Stand Out will bring together panellists from Quona Capital, Alumni Ventures, FOV Ventures and Capital6 to discuss how investors assess startups and distinguish commercial potential from market hype. Other sessions will explore emerging technologies beyond AI software, including embodied AI, advanced computing and commercial aerospace.

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CVCF 2026 features investor matching, founder pitch, innovator showcases, workshops and networking. IMAGE: CYBERPORT

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Investor Matching and Networking: Connecting with Capital

Away from the conference sessions, MatchEasy will help founders and investors arrange one-to-one meetings, either onsite or online. Confirmed participants will receive access to the platform to explore potential matches and schedule meetings.

Investors can also discover local and international startups through the Founder Pitch programme, where entrepreneurs present their projects and ventures. Meanwhile, the Innovator Showcase offers a separate opportunity to explore emerging technology solutions through a virtual platform and selected on-site exhibits.  

For founders seeking more tailored guidance, the Startup Clinics will offer one-to-one discussions with industry experts and experienced entrepreneurs on business challenges, fundraising and growth. Advance registration is required.

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Hands-On Workshops: Strengthening Your Investment Pitch

Turning an innovative idea into a business that investors can back takes more than a strong pitch. CVCF 2026 will host practical workshops to help founders strengthen their fundraising strategies and make a stronger case to investors.

Led by Capital6 advisor Christine Keung, one workshop will explore how founders can align technical innovation with business goals, communicate their product’s value and prepare for fundraising. Another, led by Jeremy Dalton, advisor at FOV Ventures and SXSW Pitch, will help founders understand how investors assess startups, with opportunities to pitch live and receive direct feedback.

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Day 2 workshops feature Christine Keung and Jeremy Dalton on investor backing and startup pitching. IMAGE: CYBERPORT

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Spotlight Event: Agentic Economy Summit
The Agentic Economy Summit will explore agentic AI and digital assets on 5 November 2026. IMAGE: CYBERPORT

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CVCF 2026’s spotlight event, the Agentic Economy Summit, will take place on 5 November under the theme “Intelligent Frontiers, Tokenised Horizons: Where Agentic AI Reshapes Business and Digital Assets Redefine How Value Moves.”

The summit will bring together technology and finance leaders to explore how agentic AI and digital assets could change the way businesses operate. Wolf Ruzicka, chief commercial officer at Unlimit, a global payments company, will discuss building and scaling agentic AI applications. Dr Feng Xiao, chairman and CEO of HashKey Group, will examine how digital identity, tokenised assets and money connect on-chain.

The discussions will also look at agent-led commerce, including how AI agents could help customers choose products and make purchases, and the payment systems needed to support these transactions. Other topics include Hong Kong dollar stablecoins and their potential role in payments and settlement, as well as the rise of one-person companies. The summit will also explore how founders can use AI agents to run their businesses with smaller teams, find customers and generate recurring revenue.

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Secure Your Pass to CVCF 2026!  

From AI-driven growth and cross-border investment to agentic AI and digital assets, CVCF 2026 brings together the people and ideas shaping the next phase of business. Whether you're preparing to raise capital, exploring new markets or assessing emerging technologies, the forum offers an opportunity to gain fresh perspectives and connect with investors, founders and industry leaders.

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Exclusive for Ventureport readers: Use the promotional code cvcf26vp to access a Full Access Pass for HK$300, subject to confirmation of the offer by the organiser.

Date: 4–5 November 2026  
Function Rooms, Level 3, Core E, Cyberport 3, Hong Kong

Register for CVCF 2026

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Artificial Intelligence

As AI Music Copyright Battles Grow, Companies Are Turning to Licensed Training Data

Sonilo and Shutterstock are betting that licensed training data could define the future of AI music.

Updated

August 10, 2026 5:56 PM

A human operating a digital turntable. PHOTO: UNSPLASH

As copyright disputes continue to grow around AI-generated music, Sonilo, the world’s first professionally licensed video-to-music AI platform, has partnered with Shutterstock to train its models on licensed music catalogs.

The agreement gives Sonilo access to Shutterstock’s music library for AI model training. According to the companies, it is Shutterstock’s first partnership with a video-to-music AI platform and the timing is significant. AI music companies are facing growing pressure over how their systems are trained. Artists and record labels have increasingly challenged the use of copyrighted music in AI datasets, especially when licensing agreements or compensation structures are unclear.

That tension has created a divide across the industry. Some companies have continued building models around scraped or disputed data. Others are trying to position licensing as part of the product itself.

Sonilo falls into the second group. The company says its models are trained only on licensed material where artists and rights holders have agreed to participate and receive compensation. The Shutterstock partnership strengthens that position while giving Sonilo access to a larger pool of commercially cleared music.

The collaboration also points to a broader change happening inside generative AI. As AI tools move into commercial production, companies are being pushed to show not just what their models can generate, but also where their training data comes from.

Sonilo’s platform is built around video rather than text prompts. The system analyses footage directly, studies pacing and emotional tone, then generates an original soundtrack to match the content. The company says this removes the need for manual music searches, syncing or editing workflows. The generated tracks are cleared for commercial use across social media, branded content and broadcast production.

Shawn Song, CEO of Sonilo, said: "Music has always been the last unsolved layer of video creation, and video has always carried its own soundtrack. We built Sonilo to hear it and compose from it, without a single text prompt. But how we build matters as much as what we build. While others have chosen to take artists' work without permission and charge creators for the privilege, we've chosen a different path—one where artists are compensated from day one. Partnering with Shutterstock reflects that standard. Every model we train meets a bar the music industry can stand behind, because the most innovative AI platforms don't have to come at the expense of the artists who make all of these possible."

For Shutterstock, the deal expands the company’s growing role in generative AI infrastructure. The company has increasingly focused on licensing content for AI systems across images, video and music.

Jessica April, Vice President of Data Licensing & AI Services at Shutterstock, said: "AI innovation depends on access to high-quality, rights-cleared content and trusted licensing partnerships. Sonilo's approach reflects the growing demand for responsibly sourced training data and commercially safe AI workflows. We're pleased to support companies building generative AI products with licensed content and scalable data solutions that help accelerate innovation while respecting creators and rights holders."

The partnership also comes as Sonilo expands into creator and developer ecosystems. Earlier this month, the company launched as a native node inside ComfyUI, an open-source AI workflow platform used by millions of creators. Sonilo also offers API access for integration into creator tools, video platforms, game engines and other AI systems.

As AI-generated music becomes more common across advertising, creator platforms and digital media, the industry’s focus is shifting beyond generation alone. Questions around licensing, ownership and compensation are increasingly shaping how AI music companies position themselves and build trust with creators.