Data Monsters

Data Monsters was hired by a comprehensive real estate technology platform to create an industry-leading Automated Valuation Model for residential real estate. The project involved the development of a machine learning model aimed at predicting residential real estate prices. By leveraging a rich dataset of historical sales data, property features, and neighborhood characteristics, the advanced machine learning algorithms were trained to identify patterns and correlations that impact property values. The resulting model achieved significant accuracy in predicting prices, providing a valuable tool for investors, homeowners, and real estate professionals to make informed decisions.

For a food production company, Data Monsters developed a responsive software to track their food chain supply. The main goal was to have a system that could help track the company's supply in the market. Data Monsters was selected for the project due to their competitive pricing and good value for cost. The software developed by Data Monsters perfectly met the company's expectations and delivered beyond what was required.

A specialist construction recruitment company engaged Data Monsters to enhance their operational efficiency and streamline their recruitment processes. The company was facing challenges in managing and organizing candidate data, job postings, and communication with both clients and candidates. Data Monsters developed a tailored software solution that covered the entire recruitment lifecycle, delivering a solution that was highly rated and aligned with the company's culture and values.