AI-Powered Company Intelligence & Exposure Analysis System
This system is designed to help organizations analyze company data at scale by combining web scraping, AI-driven insights, and structured data processing. It enables users to upload company datasets and automatically determine operational exposure, industries, and geographic presence.
Project Scope
1. Data Input & Upload System
Manual form-based company data entry
Bulk upload via XLSX file
Fields include:
Company Name
Address
Industry
Exposure
System validates and prepares data for processing
2. Batch Processing System
Each upload creates a batch submission
Companies are processed sequentially
Queue-based processing ensures system stability and scalability
Tracks progress of each batch
3. Web Scraping Engine
Automatically scrapes company-related data from available sources
Extracts relevant business information
Handles structured and unstructured web content
4. AI-Powered Analysis Engine
Scraped data is sent to an AI model for evaluation
AI answers key business questions:
Does the company have exposure to the given field?
What are the operational countries?
What industries does the company operate in?
Is the company working in the provided industries?
What is the company website?
AI returns structured JSON output
5. Data Storage & Structuring
AI responses are parsed and stored in the database
Clean and structured data is available for further use
Enables filtering, searching, and reporting
6. Notification System
Users receive notifications after batch completion
Ensures users are informed without manual checking
Can be extended to email or in-app notifications
Problem Statement
Problem Statement
Organizations dealing with large volumes of company data face several challenges:
Manual research effort: Verifying company exposure, industries, and operations is time-consuming
Inconsistent data sources: Information across websites is unstructured and difficult to standardize
Bulk processing limitations: No efficient way to process hundreds or thousands of companies at once
Lack of intelligent analysis: Traditional systems cannot accurately determine exposure relevance
Delayed decision-making: Slow data processing leads to delayed business decisions
Solution
We developed an AI-powered system that:
Allows users to upload company data individually or in bulk (via XLSX files)
Automatically processes submissions in batches
Scrapes company data from online sources
Uses AI models to analyze and extract meaningful insights
Determines whether a company has exposure to specified fields
Identifies operational countries, industries, and website information
Stores structured results in the database
Notifies users upon batch completion
Key Features
- Upload one or multiple companies.
- XLSX-based bulk processing.
- Efficient handling of large datasets
Project Manager
Frontend Engineer
Mobile Developer
Backend Engineer
QA
Team
UI/UX Designer
Tecnology Stack
Frontend
React
Nextjs
Typescript
Redux
Backend
LangChain JS
Express JS
Tools & Integrations
Figma
Docker
AWS S3
Results




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