DATAFOREST

DATAFOREST was hired by FastFacility, an online real estate services company, to develop a web scraping solution for real estate property data. The director of FastFacility found DATAFOREST through an online search and chose them for their good value for cost and alignment with company values. The project involved 2-5 employees from DATAFOREST who set up core functions and updated data quarterly. The customer was responsible for defining the list of data fields within two business days after project initiation.

VilmoreX, a product engineering company, hired DATAFOREST to provide expertise in data architecture, design and implement data pipelines, and develop AI agents for workflow automation. The project manager of VilmoreX found DATAFOREST through an online search and Clutch site, and selected them for their high ratings and good value for cost. The project was divided into three parts: data architecture, real-time data pipelines, and AI workflow automation. The team delivered a Snowflake-based data lake, built real-time ETL pipelines, and created AI agents to automate key workflows.

DATAFOREST was hired by Revife, a fashion startup, to develop a Google Chrome extension and a web application. The CEO of Revife was referred to DATAFOREST and chose them to replace manual processes, develop visual styling capabilities, and enable scalability through automation. The project involved 2-5 DATAFOREST employees who developed a comprehensive style board system with two main components: a Google Chrome extension and a web application. The system replaced manual processes with an integrated solution that saved approximately 15 minutes per order and provided a visual interface essential for effective fashion styling work.