AI Labs Integrates Google Gemini into AIV Investment Analytics Tool

Singapore-based developer AI Labs, a subsidiary of Web3 education company Academic Labs, announced on 10 September 2026 that it has integrated Google’s Gemini AI model into its flagship AIV Chatbot. According to a press release, the upgrade aims to turn the conversational bot into a structured analytics platform for investment research across both traditional technology equities and cryptocurrency assets.

The company states that the refreshed assistant moves away from generating simple buy or sell signals. Instead, users can query assets such as Bitcoin, Ether, Nvidia, and SpaceX to receive structured summaries. These reports organise financial insights around technical indicators, fundamental metrics, overall market outlooks, and potential downside risks, providing analysts with a standardised research format to evaluate complex assets.

Beyond simple asset overviews, the platform is designed to break down portfolio risk and return drivers. The firm claims AIV can differentiate established holdings from speculative exposures while mapping how uncorrelated investments might move together during periods of market volatility. For technology stocks, the tool attempts to categorise underlying segments, such as artificial intelligence infrastructure, cloud software services, and consumer technology platforms.

Another feature highlighted in the release is the system's thesis testing framework. Rather than focusing solely on upside projections, AIV aims to define the specific operational or macroeconomic conditions that would invalidate an investment view. By flagging critical price thresholds and fundamental shifts, the chatbot intends to alert analysts when their core investment assumptions no longer hold true in changing markets.

The integration leverages Gemini's multimodal features to retrieve market data, review earnings statements, and analyse tokenomics documents or price charts. Chief Executive Ryan Chi noted that the system focuses on filtering meaningful signals from market noise. Advisor Kingston Kwek added that Gemini's multimodal capabilities and broad user base could help make institutional-grade analytics accessible to a wider selection of retail and professional investors.

Why it matters for AI for Investment, Venture Capital & Trading

Investment analysts and fund managers increasingly require AI tools that provide explainable, risk-aware context rather than black-box trading signals. By combining Gemini's multimodal capabilities with structured frameworks for asset correlation, sector categorisation, and thesis invalidation, AIV offers a model for automated research assistants. However, investment professionals should independently verify data accuracy and test the platform's risk models before incorporating its insights into live portfolio management.

What to do about it

• Evaluate how AIV's structured thesis invalidation framework compares with your internal risk management models.
• Test Gemini-powered tokenomics and chart analysis features on sample cryptocurrency and technology equity holdings.
• Monitor upcoming updates allowing direct document uploads to assess potential workflow efficiency gains.

Tools mentioned

• Gemini

Source: AI Labs Integrates Google's Gemini into AIV Chatbot to Launch Next-Generation Investment Analytics Platform – TradingView (tradingview.com)