If you need a way to extract key performance indicators from financial documents automatically, Quilt Labs is a top contender. The financial research platform uses AI to help you find insights and extract data from a unified database of more than two decades of financial information. It's got features like advanced keyword search, word tense support and a KPI Detector that uses a deep-learning model to identify key performance indicators from financial documents. It also has AI Agents that run complex workflows on top of your data, so it's a powerful tool for financial analysis.
Another top choice is Fintool, an AI-powered equity research copilot for institutional investors. Fintool organizes financial metrics, KPIs and unstructured data into tables and can extract and export data in CSV format. It's got real-time alerts, cloud encryption and secure custom data upload, so it's a secure and efficient way to do financial research. The platform also drafts memos and reports with real-time speed and auto-updating, so your financial analysis is always up to date.
For a more general-purpose tool, check out Finpilot. It uses proprietary AI to quickly analyze data, answer specific questions and visualize trends. Finpilot automates data collection and analysis so financial professionals can focus on higher-level analysis and decision-making. It can extract information quickly from financial documents and the web, making it a good choice for financial analysts and investment bankers.
Last, ABBYY offers a digital transformation platform that uses AI, NLP and OCR to automate business processes through intelligent document processing and data extraction. With its high capture accuracy and ability to extract complex fields, ABBYY can save hours of work and deliver real business value. It offers a variety of industry-specific solutions, so it's a good choice for automating document-centric processes in finance.