Practical robotics.
Real machines.
Global opportunity.

Nodir Ruzmatov is a technology entrepreneur focused on applied AI, robotics, and connecting Silicon Valley with Central Asia. His work brings together business operating experience, education, and a public-policy perspective on how technology can create practical opportunities.

Originally from Uzbekistan, Nodir is a graduate of UC Berkeley’s Goldman School of Public Policy and holds a Bachelor of Business Administration from the University of Texas at Arlington. His experience running businesses informs his approach to technology: begin with a real problem, build a useful solution, and assess what it delivers.

He is also Co-Founder and CEO of CoRun.ai, focused on applying AI to commercial fleet operations, and Founder of One Nexus Group, which connects Central Asian founders and institutions with Silicon Valley through structured programs and relationships.

At ON Robotics, Nodir leads strategy, partnerships, and organizational development. His focus is on creating access to practical robotics education and building the institutional relationships needed to extend that opportunity to more learners.

His long-term ambition is to connect education with implementation—helping people develop the skills and experience to build and work with increasingly capable machines.

Rastin Rezvani works where software meets the physical world—connecting code, robotic hardware, and remote-control systems to turn ideas into working experiments.

At ON Robotics, his focus is building the technical foundation of the Mountain View lab: integrating equipment, testing robot workflows, and developing workstations that make hands-on robotics accessible beyond the lab’s walls.

His initial focus is ON Remote Lab, the infrastructure being developed to let students run code on real machines remotely under supervision. The engineering challenge spans hardware setup, software integration, and translating complex systems into learning experiences students can understand and use.

Rastin’s approach is hands-on: build, test, debug, document, and improve. He brings that builder mindset to ON Robotics, helping create an environment where learners discover how machines work by making them do something real.