Equity Research Automation
AI MENTOR
Extractive Summarization: analyze all available data on companies and generate a summary that includes key financial metrics such as revenue growth, profit margins, and debt levels.
Sentiment Analysis: determine how investors feel about a particular company. This information can be used to predict future stock prices and provide recommendations to investors.
Abstractive Summarization: generate summaries that are more concise and easier to understand by analyzing large amounts of data.
Question and Answer Systems: generate answers to questions raised by users, based on available data.
Anomaly Detection: identify unusual patterns or trends in financial data, to identify potential risks or opportunities for investors.