· Venture Capital Tracker · investment-strategies · 2 min read
Kinetix AI’s ~$75M Angel+: Vertex Bets Early on Full-Stack Humanoids
Shenzhen’s Kinetix AI raised more than RMB500 million (~$75M) across Angel+ financings with Temasek’s Vertex Ventures. Founded 2025 by Huawei AD, HKU, and Xpeng robotics veterans — valuation undisclosed.
VCT data record
Funding event facts
Source-backed financing and transaction details. Unknown terms remain undisclosed rather than estimated.
Kinetix AI raises ~$75M (RMB500M+) Angel+
Shenzhen embodied-AI / humanoid stack; Vertex Ventures; valuation undisclosed. Series of angel financings.
- Event type
- Funding Round
- Event date
- Sep 11, 2026
- Stage / label
- Seed
- Amount
- $75M (~¥500M+)
- Confidence
- Reported
Company / target: Kinetix AI
Lead: Vertex Ventures
Participants: Fangguang Capital , Wanshi Capital
Sources: dealroom.co autonews.gasgoo.com
Kinetix AI (超维动力, Shenzhen) announced more than RMB500 million (~$75M) across Angel+ financings on September 11, 2026, with Vertex Ventures (Temasek), Fangguang Capital, and Wanshi Capital among backers. Valuation and individual close dates were not disclosed (Dealroom, Gasgoo).
Spine: Writing ~$75M before Series A into a year-old full-stack humanoid bet is the tell — investors are paying for the data–model–hardware loop, not a shipped fleet.
Key facts
| Field | Detail |
|---|---|
| Company | Kinetix AI — embodied intelligence / humanoids (≠ Paris Kinetix) |
| Amount | >RMB500M (~$75M) Angel+ series |
| Key investors | Vertex Ventures, Fangguang Capital, Wanshi Capital |
| Founded | 2025 (Sep / Jul dates vary by source) |
| Team (reported) | Yu Jie (ex Huawei AD), Luo Ping (HKU), Zheng Cunyuan (ex Xpeng robotics) |
| Product claims | Humanoids, dexterous hands, embodied models, first-person data, infra |
| Valuation / revenue | Not disclosed |
| Confidence | Reported via Chinese robotics media / Dealroom — no English company IR page found |
USD lead uses ~7.1 CNY/USD for illustration; primary figure is yuan.
Who uses the product — and for what job
Intended users: factories and commercial deployments that need humanoid labor — still mostly forward-looking. Public materials emphasize building the stack toward commercial deployment, not named production customers.
Job (claimed): own the closed loop of real-world robot data → models → bodies so manipulation improves faster than software-only labs.
Why now
- Embodied AI capital is chasing teams that combine AV + robotics pedigree before product-market fit prints.
- Vertex’s presence marks international capital on a China angel-stage robotics ticket.
- Separately, Korea’s AIDIN raised ~$12M the same day for force/torque sensors — picks-and-shovels vs full-stack (see roundup).
Why Vertex — portfolio fit
Vertex Ventures (Temasek) historically backs deep-tech and regional breakouts. A ~$75M Angel+ check into a full-stack humanoid is consistent with platform ownership bets where data scarcity is the moat. Vertex Ventures SEA / Temasek have no /fund/ pages here — do not invent links.
Competitive map
| Approach | Tradeoff |
|---|---|
| Full-stack humanoid (Kinetix) | Data loop control; capital intensity |
| Component sensing (AIDIN-class) | Sell across OEMs; less brand upside |
| Model-only embodied labs | Software leverage; hardware dependency |
| Incumbent OEMs (Unitree et al.) | Scale; less greenfield narrative |
What is not proven
- Commercial deployments, pricing, and unit economics.
- Whether Angel+ “>$75M” is one close or stacked tranches.
- Hardware readiness vs demo videos (none independently verified here).
Practical takeaway
- Founders: If you only own the model, explain why you will not lose to teams that own the robot data exhaust.
- Investors: Treat RMB Angel+ megachecks as option value on physical AI, not Series A diligence packages.
- Operators: Watch component suppliers (sensors/hands) for nearer procurement paths.
Sources
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Editorial note: AI tools assisted with research, structure, or drafting. Venture Capital Tracker retains human editorial responsibility for factual accuracy, relevance, and source quality before publication.
