Data Monsters

Data Monsters was hired by a real estate company to create an Automated Valuation Model for residential real estate. The company, which specializes in geospatial data visualization and analysis, wanted to leverage their expansive library of 47 trillion records to make accurate property valuations. Data Monsters developed a machine learning model to predict residential real estate prices, utilizing historical sales data, property features, and neighborhood characteristics. The model achieved significant accuracy, providing a useful tool for investors, homeowners, and real estate professionals to make informed decisions.

A food production company, Dalmaza Food Industries Co., engaged Data Monsters to develop a responsive software to track their food chain supply. The company sought a system to track their supply in the market accurately. Data Monsters lived up to their expectations, delivering a system that perfectly met the company's needs. The software has enhanced the company's ability to monitor their market supply effectively.

Avolon Group, a specialist construction recruitment company, partnered with 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 covering the entire recruitment lifecycle, addressing the company's challenges and streamlining their recruitment processes.