Jixian Technology raises tens of millions of yuan Series A to scale AI hardware
What's the deal? Shenzhen-based Jixian TechnologyDealroom has a profile for this one. Try Dealroom → has raised tens of millions of yuan in a Series A round to accelerate its on-device AI business. Coral CapitalDealroom has a profile for this one. Try Dealroom → and Hangzhou Jintou Dingrong Equity Investment Fund Partnership — part of Zhejiang Venture Capital GroupDealroom has a profile for this one. Try Dealroom → — jointly backed the round.
What's the endgame? Founded in 2013, Jixian positions itself as a "shovels seller" for AI hardware, providing brands and manufacturers with integrated support from AI capability access to large-scale mass production.
The new funds will go toward R&D of AI Agent, edge-side AI interaction, and embedded development technologies. Jixian also plans to upgrade its MarsGate AIoT platform and expand into AI companionship, robotics, home appliances, and overseas markets.
Why now? AI is spreading from phones and computers to physical devices — toys that hold conversations, appliances that respond to "I feel a little hot" rather than fixed commands. But moving from prototype to mass production is where products break down.
A demo built by embedding a large model into a toy can be ready in days, the company says. Producing 10,000 or 100,000 units is harder: devices must capture voices in noisy rooms, respond over weak networks, hold a charge, and sync updates after model upgrades.
What could go wrong? These constraints often conflict. More local computing cuts response time but raises power consumption; a better microphone improves far-field recognition but drives up mould and device costs.
"AI hardware is not just adding a chat function to a product," said founder and president Wu Kaihua. "Consumers do not care which model the product calls, what they finally perceive is whether it can understand them, respond fast enough, not drop connections frequently, and remain stable after months of use." (translated from Chinese)
The signal: A gap is opening between large-model firms with algorithms and hardware makers with supply chains, but neither is built for terminal mass production. Jixian is betting that the money in the AI hardware boom lies not in the models, but in getting devices out the door.
Read more: eu.36kr.com
Image credit: EU-Ukraine cooperation
