If you're looking for a powerful financial research platform that uses AI to dig for information and insights in a large corpus of data, Quilt Labs is worth a look. The platform uses sophisticated AI to help you find insights and extract data from a single database of more than two decades of financial data from 6,000+ actively traded companies. It includes features like keyword search, AI-generated tables based on natural language processing, and a KPI Detector that identifies key performance indicators in financial documents. It also offers on-premise security and custom options, so it can be used by both mainstream and enterprise customers.
Another strong contender is AlphaSense, which uses proprietary AI and NLP technology to quickly find information in a vast library of more than 300 million documents, including company filings, broker research and regulatory filings. It's designed for data-driven decision making and comes with enterprise-level security features like zero-trust models and data encryption. AlphaSense is used by financial services companies, corporate strategy teams and healthcare companies.
For institutional investors, Fintool offers an AI-powered equity research copilot based on SEC filings, earnings calls and conference transcripts. It presents financial metrics in tables, extracts and exports data in CSV format, and generates real-time alerts. Fintool also drafts memos and reports with real-time speed and auto-updating, so it can help you improve and speed up equity research workflows.
Last, FinChat marries institutional-grade financial data and analytics with conversational AI. It offers advanced data visualization, DCF modeling and AI-based competitor comparisons. With access to accurate financial data on more than 100,000 global public companies, FinChat is for individual investors, companies and financial services firms, with a range of pricing tiers to accommodate different needs.