Daloopa

Overview

Daloopa is an AI-powered platform designed to automate the time-consuming process of extracting structured financial data from unstructured documents such as SEC filings, investor presentations, and press releases. It utilizes advanced machine learning and natural language processing to accurately identify, extract, and organize financial figures, KPIs, and textual disclosures.

The tool significantly enhances productivity for financial analysts, investment bankers, and research professionals by drastically reducing the need for manual data input into spreadsheets and financial models. Its core value proposition lies in its speed, accuracy, and ability to handle diverse document formats and complex table structures, freeing up valuable time for higher-value analysis and decision-making. Daloopa aims to provide clean, verified financial data directly into users' workflows.

Key Features

• Automated Financial Data Extraction from various document types (filings, presentations, reports)
• Supports extraction of Financial Statements, KPIs, and Textual Disclosures
• Uses AI/ML for high accuracy in data identification and extraction
• Handles complex tables and varying document formats (PDFs, etc.)
• Integration with financial modeling tools and spreadsheets (e.g., Excel)
• Streamlines workflow for financial analysts and research teams
• Ensures data consistency and reduces errors compared to manual methods
• Scalable solution for processing large volumes of documents

Supported Platforms

• Web Browser
• API Access

Integrations

• Microsoft Excel
• Specific APIs for data integration into other systems (details often proprietary or custom)