HARVY is an innovative AI-driven platform designed to automate the tedious task of work diary data entry. By scanning daily work diary sheets, it reduces manual data entry errors, ensures compliance with NHVR regulations, and minimizes the risk of non-compliance. HARVY's powerful AI capabilities streamline operational processes for transport companies, saving both time and costs while enhancing accuracy and efficiency.

Agent TARS leverages a combination of advanced computer vision and natural language processing techniques to understand and manipulate graphical user interfaces. By capturing visual representations of web pages, TARS can identify buttons, forms, tables, and other page elements. Users interact with TARS through natural language prompts, instructing it to click, scroll, extract text, or fill forms across multiple pages. It supports customizable workflows that chain tasks—such as logging into accounts, scraping data, and exporting results to CSV or JSON. With support for headless and headful browser modes, TARS enables both interactive exploration and unattended automation, making it ideal for testing, data acquisition, and routine browser-based operations.