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.
CVCF 2026 will explore investment trends, global expansion, AI and digital assets. IMAGE: CYBERPORT
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
As workplace knowledge spreads across chats, AI firms are building systems that can structure, retrieve and preserve it over time.
Updated
August 10, 2026 5:56 PM
A messaging app on a phone. PHOTO: ADOBE STOCK
Votee AI, an enterprise AI company headquartered in Hong Kong, has partnered with its Toronto-based research lab Beever AI to launch Beever Atlas. The new platform is designed to turn workplace chats into searchable knowledge that AI systems can retrieve and understand.
The release focuses on a growing issue inside organisations. Much of today’s workplace knowledge now exists inside chat platforms such as Slack, Microsoft Teams, Discord and Telegram. Important discussions, project decisions and technical information often disappear into long message histories that are difficult to search later.
Beever AI developed the platform to organise those conversations into a structured system for AI assistants. The software connects with Telegram, Discord, Mattermost, Microsoft Teams and Slack, then converts conversations into linked records of people, projects, files and decisions.
The collaboration combines Votee AI’s enterprise infrastructure work with Beever AI’s research around AI memory systems. The companies are releasing two versions of the product. The open-source edition is aimed at individual developers, researchers and creators. The enterprise edition is designed for banks, government agencies and larger organisations with stricter security requirements.
The release also reflects a broader shift happening across the AI industry. Companies are increasingly looking at how AI systems store and retrieve long-term knowledge, rather than relying solely on large context windows or search-based retrieval.
Earlier this year, OpenAI founding member and former director of AI at Tesla Andrej Karpathy discussed the growing need for what he described as “LLM Knowledge Bases.” He argued that AI systems need structured and evolving memory rather than depending only on context windows and vector search.
Beever Atlas approaches that problem through workplace communication. Instead of focusing mainly on uploaded files, the system is designed around conversations that happen daily across team chat platforms. It can also process images, PDFs, voice notes and video files within the same searchable system.
The companies say the software is designed to work directly with AI assistants and coding tools such as Cursor, AWS Kiro and Qwen Code. Integrations for OpenClaw and Hermes Agent are expected later in 2026.
Pak-Sun Ting, Co-Founder and CEO of Votee AI said: "Hong Kong has always been known for property and finance. Beever Atlas is proof that world-class AI infrastructure can emerge from an HK-headquartered company and be shared openly with the world. Every growing organization faces the same silent liability: conversational knowledge loss. Beever Atlas turns this perishable resource into a compounding organizational asset."
A large part of the enterprise version focuses on privacy and access control. The system mirrors permissions from Slack and Microsoft Teams so users can only retrieve information they are already authorised to access. Permission updates are reflected automatically when access changes inside company systems.
The enterprise edition also includes audit logs, encryption controls and data retention settings for organisations handling sensitive internal data. Companies can run the software entirely inside their own infrastructure using Docker and connect it to their preferred AI models through LiteLLM.
The companies argue that organising information is more useful than simply storing chat archives. Jacky Chan Co-Founder and CTO of Votee AI said: "The key technical decision was to treat agent memory as a knowledge engineering problem, not a retrieval problem. Structure beats similarity — a typed graph of who works on what is more useful to an AI than vector search over a Slack archive."
The software also includes protections against prompt injection attacks and systems designed to reduce hallucinated responses. According to the companies, the AI is designed to return “I don't know” with citations when confidence is low instead of generating unsupported answers.
As workplace communication becomes increasingly fragmented across chat platforms, companies are beginning to treat internal conversations as information that AI systems can organise, retrieve and build on. Beever Atlas reflects a broader push to turn everyday workplace communication into long-term organisational memory.