Glance AI

What it does

Glance operates on a multi-agent architecture, utilising Gemini to streamline financial analysis for investors. It starts with the extraction of the company’s ticker symbol, handled by the 1.5 Pro model, which accurately matches input text against a comprehensive list of companies, ensuring precise and relevant analysis. After ticker identification, Glance retrieves competitor data and key financial metrics such as the PE Ratio, Quick Ratio, and more. These metrics offer critical insights into the company’s financial health and growth potential, displayed on a user-friendly dashboard. All using the Gemini Api.Glance AI’s financial analysis chat feature is powered by an initialisation agent that generates contextually relevant queries. These queries alongside the ticker and firm name are passed to the financial analysis agent, which meticulously gathers and processes data using Google’s JSON search tool, RAG, and YFinance. The data is then fed into Gemini, synthesising it into a custom-tailored report. This report integrates financial data, industry insights, economic context, and the latest news, offering comprehensive analysis in the form of a report that answer’s the user’s query. Gemini’s API facilitates real-time data retrieval and processing whilst enabling the chat capabilities. Glance starts with the financial sector, my vision is to scale it and realise my theory of Fusion State Systems, integrating AI into industries like manufacturing, agriculture, and healthcare.