Alibaba Cloud Software / SaaS China Translated from Chinese

Shuzi Information Technology (数资信息技术)

Marketing Personalization

Shuzi Information Technology wanted to bring multimodal and generative AI products into real business scenarios, but doing so required a scalable GPU foundation and lower-friction operations. Its cognitive-intelligence engine, virtual livestream platform, and short-video generation products needed stable cloud infrastructure that could support expansion without forcing the company to spend disproportionate time on IT management.

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received RMB 1 million in cloud credits from the Alibaba Cloud entrepreneur program

Reported impact

Business outcome

Alibaba Cloud gave Shuzi a practical cloud-native base for taking its multimodal AI stack into production across many industries. The company gained a lower-cost path to elastic infrastructure, a stable ACK-based GPU architecture for business expansion, and startup support that let it focus more attention on extending AI capabilities into market-facing products instead of building foundational infrastructure from scratch.

Solution

Shuzi uses Alibaba Cloud ECS and ACK as the infrastructure base for its AI-native product portfolio. The company's self-developed cognitive intelligence engine exposes AI capabilities through API and SDK layers, while interactive smart terminals, virtual livestream products, and short-video generation services are delivered on top of a cloud-native GPU architecture built with ACK. Running the workload on Alibaba Cloud lets the team keep the model and application framework unified while gaining elastic compute capacity, safer operations, and less time spent on foundational infrastructure work. The cloud architecture is not a single demo environment; it is the operating substrate for a broader AI product matrix that combines multimodal generation, small-sample learning, and large-model techniques so Shuzi can keep extending AI solutions into manufacturing, governance, culture, retail, and finance scenarios.

Data flow

Customer and scenario-specific inputs are routed into Shuzi's cognitive intelligence engine through APIs and SDKs, then processed on ECS and the ACK-based GPU platform to power interactive terminals, virtual livestream services, and short-video generation products. Those services are delivered back to partners in industry-specific applications while the same cloud stack scales and governs the underlying AI workloads.

Solution architecture

5 components · 3 layers

Compute
- Elastic Compute Service (ECS) Provides the reliable elastic cloud-host foundation for Shuzi's AI application stack.
Serving
- Cognitive intelligence engine platform Exposes the company's self-developed AI capabilities through reusable APIs and SDKs.
- Virtual livestream platform Delivers one of the generative AI end products built on top of Shuzi's cognitive engine.
- Short-video generation platform Turns the underlying AI stack into a production content-generation service for partner scenarios.
Orchestration
- Container Service for Kubernetes (ACK) Runs the cloud-native GPU architecture that hosts Shuzi's AI products and helps them scale.

Architecture clues

ACK is specifically used to construct a GPU-based cloud-native architecture rather than only host generic web services.
Shuzi distributes AI capabilities through API and SDK access so partner applications can reuse the underlying model stack.
The product family is organized as a core cognitive engine plus multiple application products built on top of it.
The same cloud foundation supports multimodal generation, interactive terminals, virtual livestream, and short-video workloads.

Evidence from the source

Alibaba Cloud said its infrastructure helps Shuzi let AI play its value in different industries, businesses, and scenarios at lower cost. (original: 阿里云的云基础设施正为千行百业的 AI 革新提供强有力的支撑力，助力数资以更小的成本，让 AI 技术在不同行业、不同业务、不同场景下发挥其最大价值。)

Its application-layer products combine multimodal generation, small-sample learning, and large-language-model technologies into interactive terminals, virtual livestream, and short-video generation platforms. (original: 以认知智能引擎平台为底层技术架构，融合多模态生成、小样本学习和大语言模型等生成式 AI 前沿技术，打造包括交互式智能终端、虚拟直播平台和短视频生成平台等数智人产品矩阵。)

Shuzi built a GPU-based cloud-native architecture by combining its business framework with Alibaba Cloud ACK. (original: 数资结合阿里云 ACK（容器服务 Kubernetes 版）构建基于 GPU 的云原生架构，无缝衔接现有业务框架，实现业务的稳定运行和扩展。)

Shuzi describes itself as a full-stack AI service provider whose core engine and platform are used to empower many industries. (original: 数资是一家全栈自研的 AI 综合服务商，依托“1+X”架构推动企业数字化与智能化。“1”为核心算法引擎，“X”为基于该引擎构建的通用认知智能平台，支持 API/SDK 接入。)

Transparency Evidence & methodology 75/100 reference value · 93% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value75/100

Problem clarity20/20
Measures whether the customer's operational problem is specific enough to compare.
Implementation depth25/25
Rewards named components, data flow, integrations, and architecture detail.
Outcome specificity20/20
Measures whether the reported benefit is concrete rather than a generic claim.
Quantified impact0/25
0 metrics describe measurable impact.
Deployment scale10/10
Rewards evidence of a live or scaled deployment and meaningful integration scope.

Evidence confidence93%

Source authority20/25
The main evidence is an official vendor-published customer story.
Claim traceability25/25
12 of 12 key fields link to a named source.
Direct evidence20/20
4 direct source quotes retained.
Date provenance10/10
The publication date comes from the source page or publisher.
Source transparency10/10
1 source reference document publisher, URL, authority, retrieval, and supported fields.
Implementation specificity8/10
Rewards source-backed components, data flow, quantified impact, and a specific outcome.

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

Alibaba Cloud
以AI为核心赋能千行百业智能化升级，阿里云助力数资应用加速落地_互联网_阿里云客户案例

First-party
https://www.aliyun.com/customer-stories/internet-2023-shuzi

Source type
Vendor-published customer story
Supports
- Customer
- Region
- Company size
- Business problem
- Solution
- Products
- Solution components
- Data flow
- Integrations
- technical area
- use case category
- Business outcome
- outcome category
- Metrics
- Architecture
- evidence quotes

Date evidence

Published on source page Mar 13, 2024 · Alibaba Cloud · First-party
Open date source

Not separately sourced Industry. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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