Self learning computer use agent for developers
Cyberdesk is the first self learning computer use agent for developers to automate desktop workflows.
For example, one of our customers is building an AI agent for hospital patient intake, and they’re using us to automate an entire team of people manually clicking and typing into a desktop app to book appointments.
We launched mid July, and our agent is already operating in production environments, creating appointments in electronic health record apps and processing files in legacy ERPs.
We’ve built the first computer use agent that memorizes tasks and repeats them quickly while still adapting to unexpected changes on the screen. A good analogy is to how humans use computers: once we get used to an app, we use it much faster, while still adapting to random popups and crashes. This new paradigm for computer use will be needed by every company automating human workflows on computers.
Mahmoud previously built robotic process automation solutions impacting 20K+ employees at a Fortune 100 company. He also built AI & ML solutions at Baylor College of Medicine Neuroscience & Texas Children's Hospital + co-published a paper at the Rice Networks Group.
Alan is ex-NASA and previously dropped out to be the first founding engineer at a PearX startup. He is a second time founder, having previously built and scaled a consumer AI app to thousands of paying users.
Computer-use agents will automate the $6T dollars spent on enterprise knowledge work and Cyberdesk will be the platform to power this.
We’d love to talk with you!
https://cal.com/mahmoud-al-madi-klrs5s/30min
Total raised
$500K
Last stage
Seed
Investors
Alan Duong
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.
Mahmoud Al-Madi
Background in electrical engineering from Rice University. Previously built RPA solutions impacting 20K+ employees at a Fortune 100 company, and built AI & ML solutions at Baylor College of Medicine and Texas Children's Hospital.
No applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.