The business world today is on a mad rush to automate. Of this much, we're certain; in truth, most of the tasks that take up employees’ time are things that don’t really require a human brain, including essential activities such as data entry, document processing and validation of complex forms, invoices, expenses and contracts.
While organizations may be aware of what automation can do, far fewer have a clear technical understanding of what is actually (and realistically) feasible. This forces them to waste time and money discovering what workflows are best to automate first. Unfortunately, traditional automation solutions lack the necessary AI sophistication and remain too costly and technically challenging to automate more complex repetitive work beyond simple rules-based automation.
Mountain View, California-based Orby AI has developed what it calls “the first self-service, end-to-end generative AI platform” to meet modern automation goals. By removing complexity and creating a unique workflow discovery, Orby’s generative AI platform seamlessly builds automations for virtually any business workflow.
Orby AI recently announced that it has closed a series A round of financing, raising $30 million from investors. The round was co-led by New Enterprise Associates (NEA), Wing VC and WndrCo with additional participation from Pear VC.
According to Orby AI, the new investments will be used "to accelerate the development and commercialization of our generative AI process automation platform powered by a sophisticated large action model (LAM)."
Notably, the Series A financing follows a seed funding round co-led by NEA and Pear VC, as well.
“Yesterday’s process automation solutions were never designed to address the dynamic and complex nature of work being performed within the enterprise,” said Bella Liu, co-founder and CEO of Orby AI, in a statement announcing the funding. “At Orby, we are blowing the lid off what AI can do for enterprises with a completely new platform that observes and learns any task performed, analyzes it contextually, and creates automated workflows that can be immediately enacted.”
Edited by
Alex Passett
