A company is offering a solution to the tedious task of collecting and managing company data for businesses using Customer Relationship Management (CRM) systems. Many companies struggle with incomplete data on their prospects and accounts, and manually gathering this readily available information can be burdensome. The proposed solution is an automated service that collects company data efficiently. This service allows users to input a company name via CSV or API, and then searches the internet and a vast database, returning the data in an easily accessible format like Excel or Google Sheets. The database improves with each search and allows users to discover new leads by browsing and downloading data directly. The technology platform supporting this service includes a stack of Python, Django, PostgreSQL, Celery/Redis, and Bootstrap, among others, and is hosted on Google Cloud. The service operates on a subscription model, with users buying credits for company searches. However, the company has emphasized its limited focus on sales and marketing, relying mainly on organic searches to attract new users. This poses a growth opportunity for someone adept at promoting automated data enrichment solutions. Though the business has been developed with a robust technical framework, the current owners are looking to sell due to their limited operational expertise in growing the business further. The acquirer would need to manage services related to Google Cloud, Azure, and other components independently. Documentation and technical support details, such as the Bitbucket code repository and potential developer contacts, are provided for a smooth transition of ownership.