Position in SVTR
Snapshot 2026-10-23- Startup SignalsRankedof 2,329↓46
- DataRankedof 87↓1
About
Feijie Kesi, founded in 2024 in Shanghai, focuses on developing differentiable multi-physics unified solver-based physical AI simulation infrastructure and engines.
Full tier & rationale — an SVTR Intelligence benefit
Capital graph
Investor· 10
Funding history
- 2026-08-06Series A1数亿元
Investors · TEDA Venture Capital, Hosen Capital, 复旦科创, Addor Capital, 优势资本, 踊跃资本, 汇融基金, 财鑫资本, 湘江国投Source · news.pedaily.cn ↗
- 2026-05Pre-Series A3
- 2026-03Pre-Series A2近亿元
Investors · Oriental Fortune Capital, TopView Innovation, Silicon Harbour Investment, 泰有基金, 溢倡资本, 驰星资本Source · finance.sina.com.cn ↗
- 2026-01Pre-Series A1$14M
Investors · Matrix Partners China, MetaX, 驰星资本, Oriental Fortune CapitalSource · i.ifeng.com ↗
Comparable companies· by market
This company
BusinessLatest roundTotal raisedDate- Fysics AI
In-house differentiable multiphysics simulation engine Fysics and full-stack physical AI foundation (simulation training platform, physical AI foundation models, physical world models) for embodied AI and robotics.
Series A1 · $14M · 2026-08
$14M
United States
BusinessLatest roundTotal raisedDate- Maxinsights
Maxinsights is a Santa Clara, California-based physical AI data company that pays a network of 5,000+ contractors across six countries to film first-person footage of everyday human tasks with proprietary wearable cameras, turning it into training data for robot foundation models.
Seed · $30M · 2026-10
$30M - Human Archive
Pays gig workers to capture first-person video and motion data for training robotics AI models
$8M · 2026-05
$8M - XDOF
Real-world teleoperation training data for general-purpose robot foundation models, plus collection tools and cleaning/annotation infrastructure
$70M · 2026-06
$70M
China
BusinessLatest roundTotal raisedDate- Kaiwang Data
End-to-end AI data infrastructure: automated data production line (automation plus human labor at scale) covering data definition, scenario collection, annotation and data trading, for automakers, autonomous driving, world model and embodied AI companies; about 100,000 hours of usable data per month
Strategic · $21M · 2026-08
$21M - ScanArk
Reconstructs real spaces as simulatable, interactive 3DGS scenes as training environments for embodied AI and world models
Angel · 2026-10
— - 乙太科技
Spatial intelligence infrastructure: a physical space engine that turns real-world spatial structure, object states and human interactions into computable, editable, reusable spatial assets, underpinning embodied AI, world models and industry applications
Angel · 2026-10
—
Europe
BusinessLatest roundTotal raisedDate- Aindo
Creates synthetic data for testing and training machine learning models
Series A · $6M · 2023-10
$6M - Rapidata
On-demand human feedback/RLHF platform for training and evaluating AI models (rapid feedback sourced via digital ads and other channels)
Seed · $17M · 2026-02
$17M - Perceptron
Decentralized AI data infrastructure (DePIN): AI companies order on demand on its data-questing platform, a global contributor network collects, labels and human-verifies (human-in-the-loop) data, delivering high-value training datasets within days; uses web3/token incentives
Strategic · $7M · 2026-07
$7M
Other / unspecified
BusinessLatest roundTotal raisedDateConfirmed rounds only. Matched on subsector, sector, stage and funding scale — each verifiable on the company profiles.
Investors that may fit
Green Pine Capital Partners
4 Data deals in the last 24 months · 2 at a nearby stage · 4 in East China
Request intro →CoStone Capital
2 Data deals in the last 24 months · 1 at a nearby stage · 2 in East China
Request intro →Shenzhen Capital Group
2 Data deals in the last 24 months · 1 at a nearby stage · 2 in East China
Request intro →Ranked by each firm’s deals in this sector over the last 24 months, weighted by nearby stage and shared geography. Indicative only — no rating judgment.