AI-Driven IPO Analysis Automation System
Budget: $30 – $75 USD
I am a Fundamental Investor actively working on automating equity research workflows.
I am actively seeking proposals from highly experienced developers with significant experience in building similar systems for the financial and stock market sector to build an AI-Driven IPO Analysis Automation System along with yearly maintenance support. The primary goal is to automate the entire IPO research process—from document fetching to generating a comprehensive, auditable analysis report. Tentative requirement document is attached herewith. There might be minor changes or consolidation in the requirement based on further discussion.
We require a modular, high-reliability system (an IPO Intelligence Agent System) that automatically detects new IPOs, reads all official filings (RHP, DRHP), and cross-verifies data from multiple sources (company websites, LinkedIn, expert reviews, anchor investor lists).
The final output must be a ready-to-publish AI report structured like a standard research dossier.
Crucially, every data point in the final report must be backed by direct evidence (document name, date, and page/slide reference or link).
Your submission should include your proposed architecture, relevant experience, estimated project timeline, and a fixed-price quote.
IMPORTANT: Please refer the requirements document for the full scope of work before submitting the quotation.
Submit your proposal to 6 Oct 2025.
I am actively seeking proposals from highly experienced developers with significant experience in building similar systems for the financial and stock market sector to build an AI-Driven IPO Analysis Automation System along with yearly maintenance support. The primary goal is to automate the entire IPO research process—from document fetching to generating a comprehensive, auditable analysis report. Tentative requirement document is attached herewith. There might be minor changes or consolidation in the requirement based on further discussion.
We require a modular, high-reliability system (an IPO Intelligence Agent System) that automatically detects new IPOs, reads all official filings (RHP, DRHP), and cross-verifies data from multiple sources (company websites, LinkedIn, expert reviews, anchor investor lists).
The final output must be a ready-to-publish AI report structured like a standard research dossier.
Crucially, every data point in the final report must be backed by direct evidence (document name, date, and page/slide reference or link).
Your submission should include your proposed architecture, relevant experience, estimated project timeline, and a fixed-price quote.
IMPORTANT: Please refer the requirements document for the full scope of work before submitting the quotation.
Submit your proposal to 6 Oct 2025.
Related categories:
PHP
Excel
Business Analysis
Machine Learning (ML)
Financial Analysis
Data Science
Data Analysis
AI Development