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