Singapore-based AI Labs, a subsidiary of Web3 education pioneer Academic Labs, has announced that it has integrated Google’s Gemini AI into its flagship AIV Chatbot. The upgrade positions AIV as an advanced, structured investment analytics tool designed to simplify research across cryptocurrencies like Bitcoin and Ether, as well as tech giants including Nvidia and SpaceX.
AIV allows users to ask simple questions about assets such as Bitcoin and Ether, as well as technology companies such as Nvidia and SpaceX. It then organizes responses around market outlook, technical analysis, fundamentals and risk, presenting the results in a format resembling a concise research note rather than simply generating "buy" or "sell" signals. The approach is intended to give users a more structured way of thinking about investment decisions.
AIV is able to break an investment portfolio down into different sources of risk and return, distinguish between established assets and higher-growth exposures, and examine how seemingly different investments may become correlated during periods of market stress. For technology equities, the same framework can be used to distinguish between areas such as AI infrastructure, cloud computing and consumer platforms, while setting out the main upside and downside cases.
The analytics platform is also designed to go beyond identifying potential returns. AIV can frame an investment thesis in terms of the assumptions on which it depends and highlight the conditions that would challenge those assumptions. Key price levels, changes in fundamentals or other invalidation scenarios can therefore provide investors with a clearer indication of when an investment view should be reconsidered.
Google's Gemini is central to the platform's potential. Google's AI models can work across text, images, video, audio and code, while connecting with current information and interacting with external tools. Applied to AIV, these capabilities will allow the Chatbot to analyze earnings releases, retrieve market data, examine charts and tokenomics documents, calculate portfolio exposures, and explain the results in a conversational format that is easy to understand.
Over time, as the technology matures, Gemini could enable investors to upload financial documents or charts for analysis, compare risks across assets, and identify developments that challenge an existing investment thesis. This would move the Chatbot closer to becoming an interactive investment research assistant.
"Investors are surrounded by a wealth of information, but information on its own does not create clarity," said Ryan Chi, CEO and founder. "AIV is being built to help users connect the signals that actually matter."
Kingston Kwek, an advisor to AIV, said the key objective is to make sophisticated investment analytics traditionally associated with professional investors more accessible to a broader audience by tapping Gemini's extensive analytical capabilities, especially since Gemini has achieved global adoption with hundreds of millions of users worldwide.
