AutoFlight’s five-tonne Matrix bets on heavy payloads and regional range to prove the case for electric flight
Updated
February 10, 2026 12:56 PM
A multiroter flying through a blue sky. PHOTO: UNSPLASH
The nascent industry of electric vertical takeoff and landing (eVTOL) aircraft has long been defined by a specific set of limitations: small payloads, short distances and a primary focus on urban air taxis. AutoFlight, a Chinese aviation startup, recently moved to shift that narrative by unveiling "Matrix," a five-tonne aircraft that represents a significant leap in scale for electric aviation.
In a demonstration at the company’s flight test center, the Matrix completed a full transition flight—the technically demanding process of switching from vertical lift-off to forward wing-born flight and back to a vertical landing. While small-scale drones and four-seat prototypes have become increasingly common, this marks the first time an electric aircraft of this mass has successfully executed the maneuver.
The sheer scale of the Matrix places it in a different category than the "flying cars" currently being tested for hops over city traffic. With a maximum takeoff weight of 5,700 kilograms (roughly 12,500 pounds), the aircraft has the footprint of a traditional regional turboprop, boasting a 20-meter wingspan. Its size allows for configurations that the industry has previously struggled to accommodate, including a ten-seat business class cabin or a cargo hold capable of carrying 1,500 kilograms of freight.
This increased capacity is more than just a feat of engineering; it is a direct attempt to solve the financial hurdles that have plagued the sector, specifically addressing the skepticism industry analysts have often expressed regarding the economic viability of smaller eVTOLs. These critics frequently cite the high cost of operation relative to the low passenger count as a barrier to entry.
AutoFlight’s founder and CEO, Tian Yu, suggested the Matrix is a direct response to those concerns. “Matrix is not just a rising star in the aviation industry, but also an ambitious disruptor,” Yu stated. “It will eliminate the industry perception that eVTOL = short-haul, low payload and reshape the rules of eVTOL routes. Through economies of scale, it significantly reduces transportation costs per seat-kilometer and per ton-kilometer, thus revolutionizing costs and driving profitability.”
To achieve this, the aircraft utilizes a "lift and cruise" configuration. In simple terms, this means the plane uses one set of dedicated rotors to lift it off the ground like a helicopter, but once it reaches a certain speed, it uses a separate propeller to fly forward like a traditional airplane, allowing the wings to provide the lift. This design is paired with a distinctive "triplane" layout—three layers of wings—and a six-arm structure to keep the massive frame stable.
These features allow the Matrix to serve a variety of roles. For the "low-altitude economy" being promoted by Chinese regulators, the startup is offering a pure electric model with a 250-kilometer range for regional hops, alongside a hybrid-electric version capable of traveling 1,500 kilometers. The latter version, equipped with a forward-opening door to fit standard air freight containers, targets a logistics sector still heavily reliant on carbon-intensive trucking.
However, the road to commercial flight remains a steep one. Despite the successful flight demonstration, AutoFlight faces the same formidable headwinds as its competitors, such as a complex global regulatory landscape and the rigorous demands of airworthiness certification. While the Matrix validates the company's high-power propulsion, moving from a test-center demonstration to a commercial fleet will require years of safety data.
Nevertheless, the debut of the Matrix signals a maturation of the startup’s ambitions. Having previously developed smaller models for autonomous logistics and urban mobility, AutoFlight is now betting that the future of electric flight isn't just in avoiding gridlock, but in hauling the weight of regional commerce. Whether the infrastructure and regulators are ready to accommodate a five-tonne electric disruptor remains the industry's unanswered question.
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A closer look at how reading, conversation, and AI are being combined
Updated
February 7, 2026 2:18 PM
Assorted plush character toys piled inside a glass claw machine. PHOTO: ADOBE STOCK
In the past, “educational toys” usually meant flashcards, prerecorded stories or apps that asked children to tap a screen. ChooChoo takes a different approach. It is designed not to instruct children at them, but to talk with them.
ChooChoo is an AI-powered interactive reading companion built for children aged three to six. Instead of playing stories passively, it engages kids in conversation while reading. It asks questions, reacts to answers, introduces new words in context and adjusts the story flow based on how the child responds. The goal is not entertainment alone, but language development through dialogue.
That idea is rooted in research, not novelty. ChooChoo is inspired by dialogic reading methods from Yale’s early childhood language development work, which show that children learn language faster when stories become two-way conversations rather than one-way narration. Used consistently, this approach has been shown to improve vocabulary, comprehension and confidence within weeks.
The project was created by Dr. Diana Zhu, who holds a PhD from Yale and focused her work on how children acquire language. Her aim with ChooChoo was to turn academic insight into something practical and warm enough to live in a child’s room. The result is a device that listens, responds and adapts instead of simply playing content on command.
What makes this possible is not just AI, but where that AI runs.
Unlike many smart toys that rely heavily on the cloud, ChooChoo is built on RiseLink’s edge AI platform. That means much of the intelligence happens directly on the device itself rather than being sent back and forth to remote servers. This design choice has three major implications.
First, it reduces delay. Conversations feel natural because the toy can respond almost instantly. Second, it lowers power consumption, allowing the device to stay “always on” without draining the battery quickly. Third, it improves privacy. Sensitive interactions are processed locally instead of being continuously streamed online.
RiseLink’s hardware, including its ultra-low-power AI system-on-chip designs, is already used at large scale in consumer electronics. The company ships hundreds of millions of connected chips every year and works with global brands like LG, Samsung, Midea and Hisense. In ChooChoo’s case, that same industrial-grade reliability is being applied to a child’s learning environment.
The result is a toy that behaves less like a gadget and more like a conversational partner. It engages children in back-and-forth discussion during stories, introduces new vocabulary in natural context, pays attention to comprehension and emotional language and adjusts its pace and tone based on each child’s interests and progress. Parents can also view progress through an optional app that shows what words their child has learned and how the system is adjusting over time.
What matters here is not that ChooChoo is “smart,” but that it reflects a shift in how technology enters early education. Instead of replacing teachers or parents, tools like this are designed to support human interaction by modeling it. The emphasis is on listening, responding and encouraging curiosity rather than testing or drilling.
That same philosophy is starting to shape the future of companion robots more broadly. As edge AI improves and hardware becomes smaller and more energy efficient, we are likely to see more devices that live alongside people instead of in front of them. Not just toys, but helpers, tutors and assistants that operate quietly in the background, responding when needed and staying out of the way when not.
In that sense, ChooChoo is less about novelty and more about direction. It shows what happens when AI is designed not for spectacle, but for presence. Not for control, but for conversation.
If companion robots become part of daily life in the coming years, their success may depend less on how powerful they are and more on how well they understand when to speak, when to listen and how to grow with the people who use them.