AI-native orchestration for physical R&D
Daqstra is the AI-native orchestration layer for physical R&D. It saves engineers in Aerospace, Energy and Robotics hundreds of man hours managing test infrastructure by connecting fragmented test hardware, bringing live and historical test data into one place, and by giving engineers an API to orchestrate their entire test setup. We enable teams to spend less time rebuilding test infrastructure and more time improving the hardware they test.
Founder
Founder at Daqstra (YC S26). Previously Systems Performance Architecture at Rivian, Member of Technical Staff at DSO National Labs Singapore. MS in Computer Engineering from UC San Diego. Developed end-to-end high performance hardware and software systems for aerospace and drone applications.
Founder
I’m a co-founder of Daqstra (YC S26), building AI-native orchestration for test infrastructure in physical R&D. I studied computer science at UCSD, where I led AI and autonomy for Mars cave exploration drones and worked on multimodal AI safety for vision-language-action robots. My co-founder and I met building rocket engines, and I’ve since worked across 10+ test campaigns in the Mojave Desert.
