공고 • Sep 03

Xunce Technology Launches TokenCloud AI Model Training And Deployment Platform

Xunce Technology officially launched the TokenCloud all-in-one AI model training and deployment computing power platform. TokenCloud builds a four-tier, synergistic ecosystem based on heterogeneous computing devices, powered by mainstream algorithmic models, fueled by multi-source internal and external data, and serving vertical industry clients. The launch of TokenCloud marks Xunce Technology’s formal establishment of a full-chain product closed-loop encompassing “computing power—data—tokens—models—applications.” TokenCloud was created precisely to address these pain points. Positioned as the core “hardware and energy foundation” at the upstream of the token industry chain, it adheres to the principle of “ensuring every unit of computing power precisely serves every enterprise AI scenario.” It has built a complete closed-loop process spanning “scenario identification ? model selection ? hardware matching ? training optimization ? secure delivery.” Based on business scenarios and tasks, it intelligently recommends the optimal model and matches it with the most suitable hardware. It then uses distillation optimization to enable lightweight, “specialized” models to achieve accelerated inference with high accuracy, all the way through to secure delivery. With each step seamlessly linked, it provides enterprise customers with out-of-the-box AI infrastructure. In terms of product design, TokenCloud adopts a “full-chain visualization” philosophy, integrating the previously disparate processes of model selection, computing power configuration, security management, and cost assessment in AI deployment into a unified decision-making platform. Comprising five core modules—solution selection, model distillation, data security management, computing power acceleration, and computing resource management—this platform shifts enterprise AI deployment from “rule-of-thumb” approaches to “data-driven decision-making.” It ensures that the return on investment for every computing power allocation is clearly quantifiable, achieving a dynamic balance among performance, cost, and security. Through Hardware-Software Co-Optimization, TokenCloud enables the large-scale supply of high-quality tokens—ensuring that every piece of data unleashes its maximum token value through the optimal combination of models and hardware. TokenCloud has established industry-leading technological barriers through four core capabilities: a heterogeneous hardware platform, Cloud-Edge Collaboration Architecture, model evaluation and optimization, and secure isolation. Heterogeneous Hardware Platform—Integrates diverse computing resources such as GPUs, NPUs, FPGAs, and CPUs to enable unified management and intelligent scheduling across architectures. It supports full-scenario coverage ranging from hundreds to tens of thousands of cards, abstracting underlying, disparate hardware resources into unified computing units. Cloud-Edge Synergy Architecture—Establishes a hybrid deployment model combining “cloud computing power and on-premises computing power,” enabling elastic scaling to handle large-scale training and high-concurrency inference while ensuring that enterprises’ raw data remains within secure domains. Model Evaluation and Optimization System—Establishes a comprehensive evaluation framework covering foundational capabilities, scenario adaptation, engineering optimization, and ecosystem value. It supports task-specific distillation optimization, transferring the core capabilities of large models to lightweight scenario-specific models, thereby significantly reducing inference latency and hardware costs while maintaining high accuracy. Through end-to-end acceleration capabilities, TokenCloud significantly reduces first-token latency and enhances concurrent processing capacity, transforming acceleration cards from “waiting for computation” to “continuous computation.” Security Isolation Mechanism—We build a multi-layered security protection system where data visibility is tiered and data flow is fully traceable throughout its entire journey. Highly sensitive data is 100% locked within the enterprise’s local security domain, with a three-pronged approach combining multi-tenant isolation, encrypted transmission, and access control. TokenCloud achieves deep synergy between models and computing power—the platform centrally determines the degree of model distillation and the hardware for deployment, ensuring the optimal balance of accuracy, speed, cost, and efficiency. It provides enterprise customers with a comprehensive, one-stop service solution—from model selection and hardware matching to distillation optimization—covering the entire “computing power—data—Token—model—application” chain to accelerate the implementation of enterprise AI. The launch of TokenCloud has enabled Xunce Technology’s full-path product ecosystem to form a complete commercial loop. Previously, the company had introduced the world’s first TokenOS operating system; the two systems have clearly defined roles and operate in synergy. TokenOS focuses on data capabilities, transforming enterprises’ multi-source, heterogeneous data into standardized scenario-based Tokens in real time, thereby addressing the issue of “data usability.” TokenCloud focuses on model training and deployment, as well as “data + model” integration capabilities. It integrates computing power scheduling, model inference optimization, and the refinement, tuning, and orchestration of enterprise-level small models, bridging the entire chain from data ingestion to application deployment and providing hardware service support for Token generation. Through this synergy between software and hardware, combined with the underlying AIDP data resource processing service system and the top-level TokenRouters model outcomes service and scenario integration and exchange center, the two solutions together form a complete “computing power—data—Token—model—application” closed-loop ecosystem. Xunce Technology has partnered with multiple domestic GPU manufacturers to focus on the integration of “computing power and data.” As the localization of the full AI stack enters the stage of systematic engineering optimization, TokenCloud has become a key hub connecting domestic heterogeneous computing power with enterprise AI applications, offering significant strategic value within the ecosystem. The company has expanded into eleven high-value industries, including finance, telecommunications, power, energy, high-end manufacturing, biomedicine, robotics training, commercial space, urban operations, the low-altitude economy, and smart vehicles. In the first half of 2026, the Token business model was successfully implemented in high-value scenarios such as biomedicine, energy dispatch, and industrial quality inspection, laying the groundwork for cross-industry replication.

CEO 급여 비율	23.83%
CEO 재임 기간	9.8yrs
CEO 지분 보유율	n/a
경영진 평균 재임 기간	8.4yrs
이사회 평균 재임 기간	2.8yrs

날짜	총 보수	급여	회사 수익
Jun 30 2026	n/a	n/a	CN¥68m
Mar 31 2026	n/a	n/a	-CN¥13m
Dec 31 2025	CN¥4m	CN¥842k	-CN¥94m
Sep 30 2025	n/a	n/a	-CN¥83m
Jun 30 2025	n/a	n/a	-CN¥72m
Mar 31 2025	n/a	n/a	-CN¥78m
Dec 31 2024	CN¥866k	CN¥842k	-CN¥84m

이름	직위	재임 기간	보수	지분
Zhijian Liu	Chairman & CEO	9.8yrs	CN¥3.53m	데이터 없음
Ran Xuan	President	8.4yrs	CN¥2.64m	데이터 없음
Yang Yang	CTO & Executive Director	10.4yrs	CN¥2.59m	데이터 없음
Dawei Geng	GM & Executive Director	7.7yrs	CN¥2.68m	데이터 없음
Chunfei Jiang	Senior VP	6.4yrs	CN¥287.00k	데이터 없음
Wing Han Leung	Joint Company Secretary	no data	데이터 없음	데이터 없음

이름	직위	재임 기간	보수	지분
Zhijian Liu	Chairman & CEO	9.8yrs	CN¥3.53m	데이터 없음
Ran Xuan	President	7.7yrs	CN¥2.64m	데이터 없음
Yang Yang	CTO & Executive Director	9yrs	CN¥2.59m	데이터 없음
Dawei Geng	GM & Executive Director	7.7yrs	CN¥2.68m	데이터 없음
Jiangchuan Tian	Independent Non-Executive Director	2.6yrs	CN¥4.00k	데이터 없음
Ti Wong	Independent Non-Executive Director	2.6yrs	CN¥4.00k	데이터 없음
Changjian Jiang	Independent Non-Executive Director	2.6yrs	CN¥4.00k	데이터 없음
Xiang Cai	Non-Executive Director	2.6yrs	CN¥4.00k	데이터 없음
Kexin Guo	Chairman of the Supervisory Board	7.3yrs	데이터 없음	데이터 없음
Zhengzhang Sun	Supervisor	2.8yrs	데이터 없음	데이터 없음
Shenglei Zheng	Supervisor	2.8yrs	데이터 없음	데이터 없음
Jinglu He	Non-Executive Director	less than a year	데이터 없음	데이터 없음

데이터	최종 업데이트 (UTC 시간)
기업 분석	2026/09/19 02:35
종가	2026/09/18 00:00
수익	2026/06/30
연간 수익	2025/12/31

Shenzhen Xunce Technology 경영진

경영진 기준 점검 3/4

핵심 정보

최근 경영진 업데이트

Shenzhen Xunce Technology Co., Ltd., Annual General Meeting, Jun 26, 2026

Less than half of directors are independent

Recent updates

Xunce Technology Launches TokenCloud AI Model Training And Deployment Platform

First half 2026 earnings released: EPS: CN¥0.23 (vs CN¥0.30 loss in 1H 2025)

Shenzhen Xunce Technology Co., Ltd. to Report First Half, 2026 Results on Aug 21, 2026

Forecast breakeven date pushed back to 2027

Forecast breakeven date moved forward to 2026

Shenzhen Xunce Technology Co., Ltd. Provides Consolidated Earnings Guidance for the Six Months Ended June 30, 2026

Shenzhen Xunce Technology Co., Ltd. has filed a Follow-on Equity Offering in the amount of HKD 784.3791 million.

Shenzhen Xunce Technology Co., Ltd., Annual General Meeting, Jun 26, 2026

Less than half of directors are independent

Shenzhen Xunce Technology Co., Ltd. to Report Fiscal Year 2025 Results on Mar 27, 2026

CEO 보수 분석

CEO

리더십 팀

이사회 구성원

기업 분석 및 재무 데이터 상태

데이터 소스

분석 모델 및 스노우플레이크

산업 및 섹터 지표

분석가 소스

패키지	데이터	기간	미국 소스 예시 ^*
기업 재무제표	10년	손익계산서 현금흐름표 대차대조표	SEC 양식 10-K SEC 양식 10-Q
분석가 컨센서스 추정치	+3년	재무 예측 분석가 목표주가	분석가 리서치 보고서 Blue Matrix
시장 가격	30년	주가 배당, 분할 및 기타 조치	ICE 시장 데이터 SEC 양식 S-1
지분 구조	10년	주요 주주 내부자 거래	SEC 양식 4 SEC 양식 13D
경영진	10년	리더십 팀 이사회	SEC 양식 10-K SEC 양식 DEF 14A
주요 개발	10년	회사 공시	SEC 양식 8-K

분석가	기관
Yixi Lian	Citic Securities Co., Ltd.
Leo Chiang	Deutsche Bank
Tu Wu	Guotai Haitong/Guotai Junan International Holdings Limited