UiPath

UiPath is a Robotic Process Automation vendor providing a software platform that helps organizations automate business processes. Daniel Dines and Marius Tirca founded UiPath in 2005 in Bucharest, Romania. It is now based in New York City.

The company specializes in robotic process automation technology, or software that helps companies save time and money by automating repetitive, manual tasks, such as entering data into spreadsheets.

UiPath is delivering an automation platform that combines the core RPA capabilities of building, managing, and running robots with tools for process discovery and analytics to report clear business impact. The platform's features include Process Mining, Document Understanding, StudioX, Assistant, Automation Hub, Task Mining, and AI Fabric.

Process Mining visualizes business processes and deviations, focusing on which processes can be automated for the most benefit. This feature also shows how robots and humans interact, enabling customers to discover and continuously improve their processes.

UiPath's Document Understanding AI helps users extract and interpret data from documents. This tool is compatible with various types of files and file formats (including structured and unstructured documents) and recognizes different objects, such as handwriting or checkboxes.

StudioX is an automation design canvas for business users. The software automates users' work without the need for developer resources or coding. StudioX offers support for Microsoft Office, Google Workspace, and SAP.

UiPath's Assistant allows users to schedule reminders for running attended automation scripts. Background processes give attended robots the ability to concurrently run multiple automation scripts that may monitor events or process jobs.

UiPath Automation Hub offers collaboration technology for employees and automation technology, allowing employees to introduce new automation ideas.

Task Mining enables automation teams to capture, analyze, and prioritize processes run in any department. This platform gives the core automation team the ability to capture, analyze, and prioritize processes run in any department for automation.

AI Fabric bridges the gap between RPA and data science teams, helping enterprises automate more complex and cognitive processes. Model Retraining technology allows exceptions and corrections to make the models better over time. AI Fabric uses robots to optimize jobs over time.