Self learning computer use agent for developers
Teams waste time and money on repetitive manual clicking and typing in desktop applications to complete business workflows.
Cyberdesk provides a self-learning computer-use agent that observes, memorizes, and automates desktop tasks while adapting to changing UI states and unexpected interruptions.
Developers and organizations that need to automate desktop workflows, including enterprises using legacy apps like EHRs and ERPs.
Mahmoud graduated from Rice University with a degree in Electrical Engineering where he built AI & ML solutions at Baylor College of Medicine Neuroscience & Texas Children's Hospital + co-published a paper at the Rice Networks Group. After Rice, Mahmoud built RPA solutions impacting 20K+ employees at a Fortune 100 company, which inspired him to cofound Cyberdesk to build a computer use agent developers can use to automate desktop workflows.
Alan was a software engineer at NASA's Launch Control Center, and dropped out of Rice CS to be a founding engineer at a PearX backed AI startup ($2 million seed). He then went on to build and scale a consumer AI app to thousands of paying users. Alan has been building in the computer use space since it's first release in Oct 2024, which inspired him to build Cyberdesk, the first self learning computer use agent for developers to automate desktop workflows.





