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
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Examining the shift from fast answers to verified intelligence in enterprise AI.
Updated
January 8, 2026 6:33 PM
Startup employee reviewing business metrics on an AI-powered dashboard. PHOTO: FREEPIK
Neuron7.ai, a company that builds AI systems to help service teams resolve technical issues faster, has launched Neuro. It is a new kind of AI agent built for environments where accuracy matters more than speed. From manufacturing floors to hospital equipment rooms, Neuro is designed for situations where a wrong answer can halt operations.
What sets Neuro apart is its focus on reliability. Instead of relying solely on large language models that often produce confident but inaccurate responses, Neuro combines deterministic AI — which draws on verified, trusted data — with autonomous reasoning for more complex cases. This hybrid design helps the system provide context-aware resolutions without inventing answers or “hallucinating”, a common issue that has made many enterprises cautious about adopting agentic AI.
“Enterprise adoption of agentic AI has stalled despite massive vendor investment. Gartner predicts 40% of projects will be canceled by 2027 due to reliability concerns”, said Niken Patel, CEO and Co-Founder of Neuron7. “The root cause is hallucinations. In service operations, outcomes are binary. An issue is either resolved or it is not. Probabilistic AI that is right only 70% of the time fails 30% of your customers and that failure rate is unacceptable for mission-critical service”.
That concern shaped how Neuro was built. “We use deterministic guided fixes for known issues. No guessing, no hallucinations — and reserve autonomous AI reasoning for complex scenarios. What sets Neuro apart is knowing which mode to use. While competitors race to make agents more autonomous, we're focused on making service resolution more accurate and trusted”, Patel explained.
At the heart of Neuro is the Smart Resolution Hub, Neuron7’s central intelligence layer that consolidates service data, knowledge bases and troubleshooting workflows into one conversational experience. This means a technician can describe a problem — say, a diagnostic error in an MRI scanner — and Neuro can instantly generate a verified, step-by-step solution. If the problem hasn’t been encountered before, it can autonomously scan through thousands of internal and external data points to identify the most likely fix, all while maintaining traceability and compliance.
Neuro’s architecture also makes it practical for real-world use. It integrates seamlessly with enterprise systems such as Salesforce, Microsoft, ServiceNow and SAP, allowing companies to embed it within their existing support operations. Early users of Neuron7’s platform have reported measurable improvements — faster resolutions, higher customer satisfaction and reduced downtime — thanks to guided intelligence that scales expert-level problem solving across teams.
The timing of Neuro’s debut feels deliberate. As organizations look to move past the hype of generative AI, trust and accountability have become the new benchmarks. AI systems that can explain their reasoning and stay within verifiable boundaries are emerging as the next phase of enterprise adoption.
“The market has figured out how to build autonomous agents”, Patel said. “The unsolved problem is building accurate agents for contexts where errors have consequences. Neuro fills that gap”.
Neuron7 is building a system that knows its limits — one that reasons carefully, acts responsibly and earns trust where it matters most. In a space dominated by speculation, that discipline may well redefine what “intelligent” really means in enterprise AI.