30,000 drones assembled, Dreame Zephyr Intelligence to challenge Guinness World Record

A spectacular sky feast that will shock the world is about to unfold in the night sky over Shanghai.

Recently, QuMi official announced a major preview: QuMi ZeFei Intelligence will present an unprecedented performance in the night sky of Putuo District, Shanghai, on the evening of March 13. At that time, QuMi will showcase a grand display of 30,000 drones flying simultaneously, challenging the Guinness World Record.

QuMi ZeFei Intelligence was established on August 20, 2025. Since its founding, QuMi has assembled a professional R&D team dedicated to drone technology. The company’s founding team includes many members from Tsinghua University’s “Sky Factory,” with a strong aerospace engineering background. After officially entering the drone field, QuMi did not rush to generate hype or frequently expose itself, but chose to settle for half a year, focusing all efforts on technological breakthroughs—this dedication to refining details is ingrained in QuMi’s DNA and is the confidence behind its challenge to world-class records.

30,000 drones is not only a staggering number but also a test of technological limits. Unlike previous drone formation performances, this Guinness World Record challenge will feature centimeter-level control precision and flawless coordination, creating a visual feast where technology and art merge.

Currently, large-scale drone formations recorded publicly typically involve several thousand to over ten thousand drones. Coordinating 30,000 drones in flight is one of the largest-scale verifications of global drone swarm control technology, marking a significant leap in the system capabilities of this field.

The core of this challenge is QuMi ZeFei Intelligence’s independently developed flight control system. Simultaneous flight of 30,000 drones is fundamentally an engineering validation of a large-scale distributed flight control system. As the number of drones expands from dozens or hundreds to tens of thousands, system complexity does not grow linearly but exponentially. Each drone must perform within milliseconds: estimating its own state (position, velocity, attitude), generating and executing flight control commands, maintaining formation and coordination, and synchronizing communication with ground and surrounding nodes.

A relevant leader from QuMi ZeFei Intelligence stated that this is the first time QuMi has conducted an open test of such a large-scale drone swarm. Coordinating tens of thousands of drones means the system must handle massive amounts of real-time data, respond to dynamic environmental disturbances, and ensure extreme reliability—this is a comprehensive test of the drone system engineering capabilities. Success in this challenge demonstrates that QuMi’s flight control system has been validated at a world-class level in ultra-large-scale scenarios, and also signifies that QuMi has successfully transferred mature ground-based technology systems to the aerial domain, achieving cross-scenario reuse and breakthroughs in core technology.

Over the past decade, QuMi has relied on a technological platform to continuously increase the marginal benefits of R&D investment and industrial value. With four core platform technologies—high-speed digital motors, intelligent algorithms, biomimetic robotic arms, and all-domain intelligent chips—QuMi has built a comprehensive, high-barrier ecosystem covering “power — intelligence — interaction — computing,” forming an uncopyable foundational technology base for the boundless extension and long-term evolution of QuMi’s universe ecosystem. Today, these accumulated technologies are extending into the sky track, providing solid support for the swarm coordination of 30,000 drones.

From a 20-square-meter geek space on Tsinghua campus to a global tech giant covering over 100 countries and regions, QuMi has always believed that “core technology is the root of everything,” and this confidence is what underpins QuMi’s pursuit of drone innovation.

(Edited by: Liu Chang)

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