Join us at CVCF 2026 to explore how startups can scale and win in the age of AI.
Updated
October 29, 2026 11:39 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.
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.
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.
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.
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.
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.
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
Keep Reading
A step forward that could influence how smart contracts are designed and verified.
Updated
January 8, 2026 6:32 PM
ChainGPT's robot mascot. IMAGE: CHAINGPT
A new collaboration between ChainGPT, an AI company specialising in blockchain development tools and Secret Network, a privacy-focused blockchain platform, is redefining how developers can safely build smart contracts with artificial intelligence. Together, they’ve achieved a major industry first: an AI model trained exclusively to write and audit Solidity code is now running inside a Trusted Execution Environment (TEE). For the blockchain ecosystem, this marks a turning point in how AI, privacy and on-chain development can work together.
For years, smart-contract developers have faced a trade-off. AI assistants could speed up coding and security reviews, but only if developers uploaded their most sensitive source code to external servers. That meant exposing intellectual property, confidential logic and even potential vulnerabilities. In an industry where trust is everything, this risk held many teams back from using AI at all.
ChainGPT’s Solidity-LLM aims to solve that problem. It is a specialised large language model trained on over 650,000 curated Solidity contracts, giving it a deep understanding of how real smart contracts are structured, optimised and secured. And now, by running inside SecretVM, the Confidential Virtual Machine that powers Secret Network’s encrypted compute layer, the model can assist developers without ever revealing their code to outside parties.
“Confidential computing is no longer an abstract concept,” said Luke Bowman, COO of the Secret Network Foundation. “We've shown that you can run a complex AI model, purpose-built for Solidity, inside a fully encrypted environment and that every inference can be verified on-chain. This is a real milestone for both privacy and decentralised infrastructure”.
SecretVM makes this workflow possible by using hardware-backed encryption to protect all data while computations take place. Developers don’t interact with the underlying hardware or cryptography. Instead, they simply work inside a private, sealed environment where their code stays invisible to everyone except them—even node operators. For the first time, developers can generate, test and analyse smart contracts with AI while keeping every detail confidential.
This shift opens new possibilities for the broader blockchain community. Developers gain a private coding partner that can streamline contract logic or catch vulnerabilities without risking leaks. Auditors can rely on AI-assisted analysis while keeping sensitive audit material protected. Enterprises working in finance, healthcare or governance finally have a path to adopt AI-driven blockchain automation without raising compliance concerns. Even decentralised organisations can run smart-contract agents that make decisions privately, without exposing internal logic on a public chain.
The system also supports secure model training and fine-tuning on encrypted datasets. This enables collaborative AI development without forcing anyone to share raw data—a meaningful step toward decentralised and privacy-preserving AI at scale.
By combining specialised AI with confidential computing, ChainGPT and Secret Network are shifting the trust model of on-chain development. Instead of relying on centralised cloud AI services, developers now have a verifiable, encrypted environment where they keep full control of their code, their data and their workflow. It’s a practical solution to one of blockchain’s biggest challenges: using powerful AI tools without sacrificing privacy.
As the technology evolves, the roadmap includes confidential model fine-tuning, multi-agent AI systems and cross-chain use cases. But the core advancement is already clear: developers now have a way to use AI for smart contract development that is fast, private and verifiable—without compromising the security standards that decentralised systems rely on.