hila-Financial Research-Artificial Intelligence-Natural Language Query-Hila - Financial Research Assistant

Hila is an AI-powered tool that assists in financial research by quickly finding answers in earnings transcripts. It takes a document-centric approach and collaborates with reliable primary data sources such as SEC filings and earnings call transcripts. Hila also utilizes extensive source citations to provide confidence scores, ensuring users can always verify their work. Covering S&P 500 and NIFTY 50, Hila allows users to delve into earnings reports without having to listen to hour-long calls or read through multiple pages of transcripts. Additionally, it can assist in natural language querying of cash flow statements, balance sheets, and income statements for S&P 500 companies. The tool allows users to upload their own PDF documents and start asking questions, with Hila taking care of parsing and cleaning. It can also integrate internal information, whether stored in Google Drive, SQL databases, company intranets, or offline files. Hila currently offers limited free access, and users can request early access to learn more about S&P 500 and Nifty 50 companies. Overall, Hila's reliable approach and extensive source citations make it a valuable tool in financial research.

Hila is an AI-powered tool designed to assist in financial research. It quickly retrieves answers from earnings transcripts using a document-centric approach, collaborating with reliable primary data sources such as SEC filings and earnings call transcripts. Hila also utilizes extensive source citations to provide confidence scores, ensuring users can always verify their work. Additionally, it assists in natural language queries for cash flow statements, balance sheets, and income statements of S&P 500 companies. Hila allows users to upload their own PDF documents and start asking questions, taking care of parsing and cleaning. It also integrates with internal information, whether stored in Google Drive, SQL databases, company intranets, or offline files.