Click Ventures, a single-family office based in Singapore and Hong Kong, is exploring the opportunities of artificial intelligence (AI) to help companies scale their operations, personalize customer interactions, and make faster, data-driven decisions. We are actively pursuing it.
Carman Chan, founder and managing partner of Click Ventures, said the family office invests in startup VCs looking for startups that leverage new AI technologies to redesign business processes.
“The VCs we invest in should invest in startups that are leveraging the latest AI to automate internal workflows and provide AI-enabled services to users,” Chan told AsianInvestor.
“The disruption caused by AI is exciting and large-scale, exemplified by the use of the technology to reduce operating costs by 50% and rapidly evolve business models,” Zhang explained.
Over the next 1-3 years, Click Ventures will focus on generative AI and all related aspects.
“In the same way that the Internet age transformed the physical world into a digital world, AI represents a new paradigm shift. Unlike streaming and location-based technologies that augment existing systems, AI It serves as a complete operating system upgrade for ,” said Chan.
Main usage examples
One use case for generative AI is the creation of virtual labs where different materials and scenarios can be tested simultaneously. According to Chan, GenAI has the ability and intelligence to run tests in parallel indefinitely. This capability accelerates the research and development process and makes the approach highly disruptive.
Click Ventures is focused on business models that leverage these capabilities.
Family offices are also actively following developments in the AI agent field. Until last year, his GenAI models like ChatGPT were limited to text- or image-based interactions with humans, simulating human-like responses.
AI agents, on the other hand, will be able to perform a variety of projects and tasks, often leveraging external tools to supplement their capabilities. For example, function calls allow AI agents to perform tasks using calculators, web browsers, and other similar tools.
“This ability to automate many everyday processes makes AI agents very versatile and valuable in a variety of situations,” Zhang said.
“The next step is to move this technology to be able to interact with the physical world and create tangible applications.”
Two other areas that are ripe for AI adoption are areas where Chan sees immense growth potential.
First, AI-enabled objects are becoming autonomous when it comes to connecting the digital and physical worlds.
“We are already seeing rudimentary versions of AI-enabled objects in hospitals and libraries, but these are just the beginning. In the future, humanoid robots will become even smarter, communicate verbally, You will be able to interact with humans in a different way.
“For example, autonomous educational toys will soon become a new generation powered by AI. [gadgets]” pointed out Mr. Chan.
The second area of focus is how AI performs real-time decision-making, which involves immediate choices and is based on currently received data rather than historical information.
One example is Tesla's self-driving system. The system continuously receives and processes real-time visual data to make instant decisions while driving. This approach is in contrast to older AIs that rely on historical data for analysis and decision-making, such as large-scale language models.
Self-driving systems are an interesting investment for some investors.
Image credit: Shutterstock
Acceleration of development
Due to its scalability and variety of use cases, the application of AI can have a significant impact on a company's venture capital funding journey, especially with regard to early-stage venture funding experience.
The impact of AI is particularly noticeable when it comes to the revenue that companies are likely to be able to generate in a shorter period of time. As a startup progresses from the seed stage to Series A, funding rounds become more expensive, reflecting the growing maturity and potential of the business.
“AI integration allows startups to enhance operations, improve efficiency, and drive revenue growth. The increased revenue potential at the Series A stage reduces the increased costs associated with raising this stage of funding. is often justified,” Chan said.
For family offices, the interest in AI is clear, but the field's newness means many teams don't have enough knowledge about its potential to revolutionize traditional processes.
For most family offices, investing in AI through a professional fund manager typically has deeper insight and information than family office teams who need to invest across different asset classes, said Chan. I felt safer because of the location.
He added that for family offices that prefer direct investment, it is generally considered safer to participate in later-stage opportunities as each funding round undergoes extensive validation.
Haymarket Media Limited. All rights reserved.
