Student input gap
Listening carefully and taking complete notes compete for the same attention.
Angel Round · Shenzhen Qixiang Origin Technology Co., Ltd.
Xiaoqi Teacher AI
The first teacher in a child's life who truly understands them.
Two hardware devices and one AI Agent connect classroom context, desk-side tutoring, and parent feedback into a continuous private-tutor loop.
Classroom Recording Egg
Home AI Desk Lamp
Student Memory Agent
The unresolved gap
Every afternoon, parents ask. The answer is still a black box.
“What did you learn today? Did you understand it?” The child’s answer is often: fine, not sure, forgot. The deck frames this as a broken learning chain, not a lack of parental effort.
Parent tutoring gap
School learning is invisible at home, and homework support can quickly become conflict.
Feedback gap
Weak points accumulate when families cannot locate the student’s real state and progress.
Two hardware devices, one Agent
Classroom ears, desk-side eyes, and an Agent that keeps thinking.
The product is not positioned as a passive homework-answering tool. It captures learning context, explains in real time, remembers habits, and turns daily study into a visible plan.
Classroom endpoint
Qimi Recording Egg
- 24/7 ambient, voice-triggered classroom capture
- Automatic notes, knowledge points, and mind maps
- Wearable, one-week charge, offline audio storage
- Interactive Q&A when network access is available
- Privacy-preserving processing with erasable audio
AI Agent
Understands the child over time
Home endpoint
Xiaoqi Teacher AI
- High-angle camera for “teach where I point” guidance
- Custom Pad with edge model and Xiaoqi Agent
- Real-time explanation that can be interrupted anytime
- 20M+ cloud questions for practice and review
- Daily parent feedback and progress visualization
A day with Xiaoqi
From classroom recording to parent confirmation.
Tools wait for students to use them. An Agent thinks ahead. Xiaoqi is already preparing the next step before the child asks.
Hardware matrix
Her eyes and ears across the learning day.
The deck describes the hardware as all-scenario data collection endpoints: a classroom recording egg and a home AI desk-lamp system with a custom learning Pad.
Recording Egg
Egg-sized school-bag companion, one-week charge, 32GB industrial storage, and 200+ hours offline audio.
AI Desk Lamp
High-position overhead camera recognizes problems on the desk and supports guided explanation at home.
Learning Pad
Built with an edge model, Xiaoqi Teacher Agent, 20M+ cloud questions, and 1TB+ storage for student data.
Business model
Hardware is the entry ticket. The relationship is the moat.
The deck’s model starts with a ¥4,999 hardware set in year one, including the Recording Egg, AI Desk Lamp, AI Learning Pad, and first-year VIP membership. From year two onward, the relationship continues through a ¥1,999 annual VIP subscription.
Hardware Set
¥4,999
Recording Egg + AI Desk Lamp + AI Learning Pad, including first-year VIP membership.VIP Subscription
¥1,999 / year
Real-time recording, note generation, homework tutoring, and parent learning reports.Why native AI
Content can be copied. Relationships cannot.
Traditional education scales by distributing standardized content. Xiaoqi is designed around a relationship mode: companionship, understanding, and adaptive teaching that gets deeper with use.
Traditional education
Scales by distributing standardized content, which makes it difficult to understand each child.Xiaoqi Teacher AI
Always available, classroom-aware, desk-side at home, and strengthened by a student data flywheel.Team
Education insight, AI engineering, and hardware supply chain in one team.
The founding team combines K12 market knowledge, large-scale AI systems, hardware engineering, and product delivery experience.
Wang Hebei
Founder & CEO
NTU TIP master's, 31. Eight years in education and training, serial entrepreneur, and deep understanding of K12 parent decision paths.
Sun Ming
Co-founder & CTO
NTU AAI master's, 27. Former Baidu Search backend and Li Auto autonomous driving data engine engineer, with 100k+ concurrency experience.
Li Jinqiao
Co-founder & Hardware Lead
Shenzhen University master's, 36. Former Anker hardware engineering lead with full-chain AI hardware resources and rapid prototyping capability.
Yang Zhenkui
Software Engineer
Alibaba Qwen engineering background, supporting front-end product implementation and AI application delivery.
Huang Jiangshuang
AI Engineer
Former Huawei engineer with NTU AAI training, focused on AI algorithms and agent implementation.
Li Ke
Hardware Engineer
Southern University of Science and Technology background, supporting embedded hardware and device delivery.
Lei Yiming
AI Agent Engineer
NTU AAI background, focused on learning-agent workflows and classroom-to-home intelligence loops.
Li Junchen
Hardware Product Engineer
Zibian project experience, supporting hardware product design, production coordination, and delivery execution.
Roadmap
A staged path from prototype to regional expansion.
The milestone plan moves from team formation and product validation to hardware delivery, financing, breakeven, and overseas market entry.
A continuous AI private tutor for the first generation of AI-native learners.
Built by a team combining education insight, AI engineering, and hardware supply-chain execution.
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