Lirith was founded in 2026 to close the most underserved gap in the American drone supply chain. Lirith is partnered with BotBlox, a proven manufacturer of ruggedized electronics trusted by defense and robotics programs worldwide. The same engineering DNA, manufacturing discipline, and commitment to hardware that works in the field now goes into the ESC the American drone industrial base has been waiting for.
US drone manufacturers are building the aircraft the Department of Defense will fly for the next two decades. The components inside those aircraft determine whether those programs are delivered on time, to spec, and in compliance with the law.
Lirith's mission is to make the electronic speed controller a solved problem for every American drone OEM — sovereign in origin, documented in provenance, engineered for the field, and available in the volumes production programs need.
We build the piece of the drone that has to just work, so the companies building the aircraft can focus on what's above and around it.
Every component source is chosen deliberately to meet NDAA, ASDA, and EO 13981 requirements. Compliance documentation is a product feature, not a sales afterthought.
We build for temperature, vibration, humidity, and sustained throttle. The bench test is where design starts, not where it ends.
Open documentation, honest integration guidance, and direct access to the people who designed the hardware.
The DoD industrial base is moving now. We ship samples, revise fast, and ramp production to match our customers' programs.
Josh previously founded BotBlox, a manufacturer of ruggedized Ethernet switches for robotics, drones, and defense platforms. BotBlox became the go-to choice for engineers building systems that operate in demanding environments — trusted for hardware that simply works in the field, documentation that holds up in procurement, and direct access to the engineers who designed it. Those same principles — production-grade reliability, supply-chain transparency, and genuine customer partnership — are the foundation Lirith is built on.
Katie previously worked as a machine learning engineer at Bloomberg, where she built AI systems for one of the world's most demanding data environments. Her foundation in applied mathematics and systems engineering brings the analytical discipline Lirith's operations require — from supply chain design and compliance documentation to manufacturing quality systems and production scaling. She holds a MS in Computer Science from Columbia University and a BS in Mathematics from EPFL.