Mehrad Arbab

LocalDesk started from a simple frustration: most AI products could generate language, but they still left the real burden of work on the person. You could get ideas, drafts, and suggestions, yet turning a request into an organized, reliable outcome still required too much manual effort, context switching, and supervision. The gap was obvious: AI could talk, but it still struggled to carry work all the way through.

That became the reason to build LocalDesk — an AI-native workspace designed not just to respond, but to help people move from instruction to execution inside a system built for real work. The goal was never another chatbot. The goal was a workspace where missions could be structured, context could stay coherent, tools could be connected, and results could come back in a form a human could review, trust, and use.

Orbit AGI emerged from that same direction. It is not just about generating output. It is about mission intelligence: understanding what kind of work is being asked, what context matters, what level of execution is needed, and what a finished result should actually look like. In practice, that means helping users and agents make better decisions about planning, context, verification, and follow-through.

Together, LocalDesk and Orbit AGI are built around one belief: AI becomes far more valuable when it helps finish work clearly, responsibly, and in a way people can actually verify.