Geek+

Geek+ (Geekplus, Beijing Geekplus Technology Co., Ltd.) was founded in Beijing in February 2015 by Yong Zheng along with co-founders Hongbo Li, Xi Chen, and Kai Liu. The company develops autonomous mobile robots for goods-to-person picking, case handling, sortation, and pallet movement, and has deployed tens of thousands of robots across more than 40 countries. Its 2024 revenue reached RMB 2.409 billion with a 45% CAGR from 2021 to 2024. On July 9, 2025, Geek+ listed on the Hong Kong Stock Exchange under ticker 2590.HK, becoming the world's first publicly traded AMR warehouse robotics company. The IPO raised HK$2.71 billion (≈ USD 347 million) at HK$16.80 per share, giving the company a market valuation of approximately HK$21.8 billion (≈ USD 2.82 billion). The offering was oversubscribed by 133.62x on the retail tranche. Prior to the IPO, Geek+ had raised roughly USD 550 million across Series A through E rounds, with backers including Warburg Pincus, GGV Capital, Vertex Ventures, and Granite Asia.

Geek+ set the bar for what an AMR business at scale looks like and validated public-market appetite for pure-play mobile robotics after years of dry pipelines.

geekplus.com Mobile Robotics

Chinapublic · HKEX:2590

At a glance

Total raised

$550M

last round ipo (hkex)

Headcount

501-1000

approximate · public range

Headquarters

Beijing

China

Founded

2015

11 years active

Status

Public

Ticker · HKEX:2590

Latest valuation

$2.8B

IPO (HKEX) · 2025

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Funding history

Total raised

$550M

Rounds tracked

Latest stage

IPO (HKEX)

Latest valuation

$2.8B

Date	Stage	Amount	Valuation	Lead investors
Jul 9, 2025	IPO (HKEX)	$347M	$2.8B	—

Stock performance

$17.75

2026-05-22 · HKEX:2590

Founder backgrounds

Hongbo Li

Co-founder, CTO

Hongbo Li earned a BS from Northeastern University (China) and a PhD in computer science from Tsinghua University, where he later served as an assistant professor in the Department of Computer Science and Technology. His academic research focused on multi-agent robotic systems, navigation, perception, and control—domains directly foundational to autonomous mobile robots. Prior to co-founding Geek+, he had no industry or startup track record; he was primarily a scholar. Li is recognized as a leading expert in multi-agent robotics and heads Geek+'s R&D organization, overseeing a large engineering team. Geek+ became the world's first publicly listed pure-play AMR warehouse robotics company with its 2025 IPO on the Hong Kong Stock Exchange.

Kai Liu

Co-founder, VP System R&D

Co-founded Geek+ in Beijing in 2015 alongside Yong Zheng, Hong Bo Li, and Xi Chen, and serves as Vice President of the Product Business Unit, overseeing picking and sorting robots as well as smart warehouse systems. Prior to Geek+, information about his earlier career and academic background is not widely published. He holds a prominent product-side leadership role at the company, which went public on the Hong Kong Stock Exchange in 2025 as the world's first pure-play AMR warehouse robotics company.

Xi Chen

Co-founder, VP Robots R&D

Holds a Ph.D. in Mechanical Engineering from the University of Delaware, where his research focused on robotics and automation. Prior to co-founding Geek+, he served as a software/robotics engineer at Vecna Technologies (2012–2013), working on logistic robots, patient self-service products, and automated systems. Earlier academic roles include research assistant positions at the University of Delaware and Nankai University. He co-founded Geek+ in 2015 alongside Yong Zheng, Kai Liu, and Hong Bo Li, and has since led the company's robot hardware and R&D efforts as VP of Robots R&D — overseeing the core AMR platforms that powered Geek+ to become the world's first publicly listed pure-play warehouse robotics company.

Yong Zheng

Founder, Chairman & CEO

Holds a joint master's in production engineering from Tsinghua University and RWTH Aachen University. Began his career as a management trainee at ABB, later serving as operations manager in its robotics division, then as plant manager at Saint-Gobain Abrasives. Prior to founding Geek+, he was a senior associate at New Horizon Capital, a China-focused private-equity fund where he focused on robotics and TMT investments — experience that gave him both operational grounding and investor perspective before launching the company in 2015. No prior startup exits. Under his leadership, Geek+ listed on the Hong Kong Stock Exchange in 2025, becoming the world's first publicly traded pure-play AMR warehouse robotics company.

AI bull / bear

Bull case

Geek+ has proven the industrial AMR business model at genuine scale. With RMB 2.4 billion in 2024 revenue (45% CAGR 2021–2024) and tens of thousands of robots deployed across 40+ countries, the company demonstrates repeatable unit economics and global logistics demand. The July 2025 Hong Kong IPO—oversubscribed 133× on the retail tranche—validates that public investors will pay premium multiples for pure-play warehouse automation leaders, not just humanoid hype. The $347 million IPO war chest and blue-chip backing (Warburg Pincus, GGV) position Geek+ to consolidate a fragmented market: most AMR rivals remain private and capital-starved. E-commerce, 3PL, and manufacturing verticals continue automating intralogistics to combat labor shortages and rising throughput demands. As the first mover into public markets, Geek+ enjoys brand credibility with enterprise buyers, access to cheaper equity for M&A, and margin expansion as software attach rates grow on its installed robot base.

Bear case

Geek+ operates in a commoditizing hardware market where differentiation erodes fast. Competitors—AutoStore, Locus, 6 River (Shopify), and Chinese peers like Hai Robotics—offer similar goods-to-person and sortation systems, often at lower price points or with tighter vertical integration. The 45% growth rate masks margin pressure: warehouse robotics are capex-heavy, require long payback periods, and face customer churn when leases end or technologies leapfrog. The IPO timing is double-edged. A $2.8 billion valuation sets a high bar for growth in a macro environment where logistics spending has cooled post-pandemic. Geek+'s Asia-heavy footprint exposes it to China slowdown risk and geopolitical friction in Western markets. Meanwhile, humanoid and general-purpose robots (UBTECH, Figure, Tesla) threaten to disrupt fixed-task AMRs with more flexible form factors, potentially obsoleting single-purpose fleets within a five-year horizon. Public scrutiny will punish any revenue miss or margin compression.

Generated by claude-sonnet-4-5-20250929 · April 25, 2026Refreshes quarterly · see disclosures

In the news

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Leadership

Yong Zheng

Founder, Chairman & CEO

—

Hongbo Li

Co-founder, CTO

—

Xi Chen

Co-founder, VP Robots R&D

—

Kai Liu

Co-founder, VP System R&D

—

Hongyan Liu

CFO

—

Products

P-series Goods-to-Person robots
Autonomous mobile robots that move inventory shelves and pallets to picking stations, eliminating redundant worker walking and improving picking accuracy. Modular and multi-purpose, the robots offer load capacity up to 1200 kg and top speed of 4.5 m/s. Deployed to existing warehouses of any size with flat surfaces. Picking efficiency improves by 2 to 3 times compared to manual operations. Deployed worldwide with a total fleet of 30,000 robots, serving e-commerce, retail, 3PL, pharmaceutical, and manufacturing sectors.
S-series Sorting robots
Autonomous floor-based sorting robots that navigate warehouses to pick up parcels and deliver them to assigned sorting destinations. The S-series consists of modular, multi-purpose robots with load capacity up to 100kg and top speed of 2m/s. These robots achieve nearly 10 times the efficiency of traditional sorting systems and deliver up to 99.99% accuracy. They feature automatic mutual dodge and obstacle-avoidance capabilities during sorting operations, handling parcel, SKU, and order-line sorting across logistics, apparel, and FMCG warehouses globally.
M-series Moving robots
Material-transport AMRs with a 1000kg maximum carrying capacity, supported by laser SLAM and QR code navigation for smooth, accurate, and safe warehouse operations. The M-series includes models like the M600 and M100 equipped with customizable bin-moving mechanisms and optional rollers or conveyor belts. Robots support both QR code and SLAM navigation—enabling real-time localization in complex environments or fast, accurate path-following depending on conditions. Suited for material movement in e-commerce, retail, 3PL, and manufacturing warehouses.
RoboShuttle case-handling
Next-generation, high storage density, tote-to-person picking solution with optimal cost efficiency and robust operational flexibility. The system combines two robots: an RS unit that moves totes from storage rows, and a P40 robot that carries totes to operator picking stations. Achieves up to 350 totes per hour per station and integrates with existing warehouse infrastructure. Certified as "Best of Intralogistics 2020" by the IFOY award. The newer RoboShuttle V5 variant integrates an autonomous robot arm picking station powered by embodied intelligence.
C-series Carrying robots
Bin-carrying robot shuttle system that identifies and picks standard-sized bins and carries them to workstations for picking and packing, with intelligent scheduling and accurate navigation. Designed to operate on single-layer and multi-layer mezzanine racks within existing warehouses. Carton or shoe boxes can be picked with single box weights up to 40 kg. The extended-arm C200M variant operates on narrow aisles and reaches new storage depth, saving up to 50% of warehouse space.

Most recent patents

Seattle Food Geek Applied Sciences, LLC·2024-07-23
Electronic Knife And Related Systems And Methods
US12042947
Abstract
Electronic Knife And Related Systems And Methods
US12042947
Abstract An electronic knife assembly and associated systems and methods are disclosed herein. In some embodiments, the knife includes a blade and a handle operably couplable to the blade. The handle can include an oscillator operably coupled to the blade, at least one sensor configured to obtain one or more measurements, and a controller operably coupled to the oscillator and the least one sensor. The measurements from the sensor can include a spatial position of the electronic knife, a spatial orientation of the electronic knife, a mass of a user's hand, a grip of the user's hand, and/or a resistance to the oscillation of the blade. The controller can adjust an operating frequency of the oscillator based at least partially on the one or more measurements from the at least one sensor. The handle can also include a wireless power supply.
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Geek+

At a glance

Subscribe to see the full profile

Funding history

Stock performance

Founder backgrounds

Hongbo Li

Kai Liu

Xi Chen

Yong Zheng

AI bull / bear

In the news

Geekplus Takes Fifth RBR50 Innovation Award With AI-Powered Picking Station

Geekplus partners with Mindugar to accelerate warehouse automation adoption across Latin America

Geekplus reports 50 percent growth in Americas as it pushes embodied intelligence into US warehouse market

Watch

Leadership

Products

P-series Goods-to-Person robots

S-series Sorting robots

M-series Moving robots

RoboShuttle case-handling

C-series Carrying robots

Most recent patents

Electronic Knife And Related Systems And Methods

Electronic Knife And Related Systems And Methods

Open roles