Robotic Process Automation

It’s time to rework how we work.

Robotic Process Automation (RPA) leads the way.
When you rely on Robotic Process Automation (RPA), your employees can teach robots to do the work they hate, which frees them to do more meaningful work.
Read about RPA success stories that show how organizations use UiPath to automate at a fraction of the cost and time of other options. See the dramatic business gains achieved when organizations use RPA to automate tedious tasks and tap into the full potential of their employees’ creative thinking abilities.
    When you’re ready to change how your employees work through RPA, you can do so with the assurance that DATAFINITY has the intimate product knowledge, deep industry experience, and proven ability to deliver state-of-the-art automated solutions built on the UiPath platform.


    • Gartner predicts that by 2024, organizations will lower operational costs by 30% by combining hyperautomation technologies with redesigned operational processes.
    • Gartner reported that RPA software is the fastest-growing segment of the global enterprise software market. RPA is expected to eclipse cloud, IoT, and blockchain, receiving the most significant investment focus for enterprise buyers looking to achieve operational effectiveness.
    • UiPath RPA software has already automated millions of repetitive, mind-numbing tasks for businesses and government organizations all over the world, including more 50% of the Fortune 500 and 8 of the Fortune 10.
    • 70% of organizations say that RPA releases employees from mundane tasks and helps them focus on more strategic and creative tasks.


    • 80% efficiency increase. As many as 80% of your standard, rules-based processes can be automated using robots.
    • 32x faster process time. An automated process with RPA can be 32 times faster than doing it manually.

    HyperAutomate all possible business processes, end-to-end (Gartners #1 strategic trend)

    Hyperautomation refers not only to the breadth of the palette of tools, but also to all the steps of automation itself: discover, analyze, design, automate, measure, monitor, reassess.