Question: Do you know of a platform that applies machine learning and NLP techniques to extract insights from unstructured text data for investment research?

If you're looking for a platform that uses machine learning and NLP to extract insights from unstructured text data for investment research, AlphaResearch is a great choice. This platform uses AI and NLP to process company filings, earnings call transcripts, and press releases to deliver institutional-grade fundamental data and market insights. AlphaResearch features include AI-powered document search, company fundamentals, and estimates, which can save you hundreds of hours of research time. It also offers collaboration features through shared notes and highlighted documents.

Another powerful option is AlphaSense, which uses proprietary AI and NLP to quickly find information in a massive library of more than 300 million documents, including company filings, broker research, and regulatory filings. AlphaSense is designed to reduce manual research time and to monitor in real-time so you don't get surprised. It's geared for financial services firms, corporate strategy teams, and consulting companies.

DATAKU is another powerful tool that turns unstructured text into structured data with Large Language Models. Features include Document Insights and Text Intelligence, which makes it useful for spotting market trends and analyzing financial documents. The service is flexible with pricing from a free beginner plan to an enterprise option, so it's available to those with varying budgets.

For individual investors and analysts, StockInsights marries Large Language Models with financial data to help streamline investment research. It provides real-time data and actionable insights to help you make more informed investment decisions. StockInsights is easy to use and offers APIs for integration into quant models and financial apps, so it's a good choice for investment analysis.