Self learning computer use agent for developers
Company is active
Event Year: 2025
Company is active
Event Year: 2025
Cyberdesk introduces a novel self-learning computer use agent designed specifically for developers, enabling the automation of desktop workflows. This innovative solution empowers businesses to streamline operations and enhance productivity by automating repetitive tasks. For instance, a client developing an AI agent for hospital patient intake leverages Cyberdesk to automate appointment booking within a desktop application, effectively replacing a team of manual operators. Since launching in mid-July, Cyberdesk's agent has been deployed in live production environments, autonomously creating appointments in electronic health record systems and processing files within legacy ERP platforms.
Cyberdesk's unique computer use agent memorizes tasks and executes them rapidly, while intelligently adapting to unforeseen changes on the screen. This mirrors human computer interaction, where proficiency increases with experience, allowing for efficient adaptation to unexpected interruptions. This paradigm shift in computer usage is poised to become essential for any organization seeking to automate human workflows on computers. Mahmoud brings extensive experience in robotic process automation, having developed solutions impacting over 20,000 employees at a Fortune 100 company. His background also includes AI and ML solutions developed at Baylor College of Medicine Neuroscience & Texas Children's Hospital, along with co-authorship of a paper at the Rice Networks Group. Alan, formerly of NASA, was the first founding engineer at a PearX startup. As a second-time founder, he previously built and scaled a consumer AI application to thousands of paying users. Computer-use agents are set to revolutionize the $6 trillion enterprise knowledge work sector, and Cyberdesk aims to be the leading platform driving this transformation. We invite you to connect with us to explore the possibilities.
Cyberdesk introduces a novel self-learning computer use agent designed specifically for developers, enabling the automation of desktop workflows. This innovative solution empowers businesses to streamline operations and enhance productivity by automating repetitive tasks. For instance, a client developing an AI agent for hospital patient intake leverages Cyberdesk to automate appointment booking within a desktop application, effectively replacing a team of manual operators. Since launching in mid-July, Cyberdesk's agent has been deployed in live production environments, autonomously creating appointments in electronic health record systems and processing files within legacy ERP platforms.
Cyberdesk's unique computer use agent memorizes tasks and executes them rapidly, while intelligently adapting to unforeseen changes on the screen. This mirrors human computer interaction, where proficiency increases with experience, allowing for efficient adaptation to unexpected interruptions. This paradigm shift in computer usage is poised to become essential for any organization seeking to automate human workflows on computers. Mahmoud brings extensive experience in robotic process automation, having developed solutions impacting over 20,000 employees at a Fortune 100 company. His background also includes AI and ML solutions developed at Baylor College of Medicine Neuroscience & Texas Children's Hospital, along with co-authorship of a paper at the Rice Networks Group. Alan, formerly of NASA, was the first founding engineer at a PearX startup. As a second-time founder, he previously built and scaled a consumer AI application to thousands of paying users. Computer-use agents are set to revolutionize the $6 trillion enterprise knowledge work sector, and Cyberdesk aims to be the leading platform driving this transformation. We invite you to connect with us to explore the possibilities.
Total Raised: Unknown (Y Combinator backed)
Last Round: Summer 2025
Total Raised: Unknown (Y Combinator backed)
Last Round: Summer 2025
B2B
B2B
B2B -> Engineering, Product and Design
B2B -> Engineering, Product and Design
Team size: 2
Hiring: No
Team size: 2
Hiring: No