Alibaba Cloud Software / SaaS Singapore

FizzDragon

Application Refactoring · Document Processing · Real-time Analytics

FizzDragon needed to coordinate a decentralized network of over 130 creators across 13 countries to produce a cinema-grade feature film. This required a highly scalable and stable IT infrastructure to support its "AIGC Global Creator System," a complex platform integrating over 20 mainstream video AI tools and nearly 100 proprietary AI agents. The core challenge was managing immense AI inference workloads and orchestrating a distributed, collaborative production pipeline that rivals traditional studios.

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FizzDragon needed to coordinate a decentralized network of over 130 creators across 13 countries to produce a cinema-grade feature film.

Reported impact

Business outcome

End-to-End AI Pipeline : Established a seamless idea-to-screen workflow integrating Qwen, Wan, and Happy Horse, reducing creative iteration cycles from weeks to hours. Scalable Global Collaboration : Successfully scaled a global creator network from 130 to over 600 studios, proving the platform's ability to handle explosive growth and distributed workflows. Validated Business Model : Enabled the world's first AIGC feature film to achieve a theatrical release and commercial success in Singapore and Malaysia, proving the viability of the decentralized production model. Reduced Production Timeline : Achieved in 6 months what traditionally takes 3–5 years, demonstrating a significant increase in production efficiency.

Solution

FizzDragon used Alibaba Cloud to address FizzDragon needed to coordinate a decentralized network of over 130 creators across 13 countries to produce a cinema-grade feature film. This required a highly scalable and stable IT infrastructure to support its "AIGC Global Creator System," a complex platform integrating over 20 mainstream video AI tools and nearly 100 proprietary AI agents. The core challenge was managing immense AI inference workloads and orchestrating a distributed, collaborative production pipeline that rivals traditional studios. FizzDragon is a Singapore-based, pioneering technology and entertainment company that operates the world's first full-process Artificial Intelligence Generated Content (AIGC) film production platform. Designed to democratize filmmaking, it allows creators to generate entire movies, series, and webcomics directly from scripts.

Data flow

FizzDragon's workloads and source data are processed on Qwen, Elastic Compute Service (ECS), Container Service for Kubernetes (ACK) persist to ApsaraDB RDS.

Solution architecture

6 components · 4 layers

Compute
- Qwen Powers real-time narrative branching for interactive cinematic games — generating dynamic dialogues, plot twists, and side quests so that 10,000 players can experience 10,000
- Elastic Compute Service (ECS) Powers intensive AI model training and inference, including image, video, and audio generation, with accelerated compute
Storage
- ApsaraDB RDS Manages user data, project metadata, and operational
Orchestration
- Container Service for Kubernetes (ACK) Enables a flexible, scalable microservices architecture for the platform's 90+ AI agents through serverless and container technologies, allowing efficient scaling and cost
Uncategorized
- Object Storage Service (OSS) Stores and serves massive amounts of generated content, assets, and training
- Content Delivery Network (CDN) Enables low-latency delivery of high-quality video content to a global

Architecture clues

End-to-End AI Pipeline : Established a seamless idea-to-screen workflow integrating Qwen, Wan, and Happy Horse, reducing creative iteration cycles from weeks to hours
Primary customer region: Singapore
Qwen : Powers real-time narrative branching for interactive cinematic games — generating dynamic dialogues, plot twists, and side quests so that 10,000 players can experience 10,000 unique outcomes
Regional Strength : Alibaba Cloud's robust global infrastructure, particularly its strong presence in the Asia-Pacific region, aligns with FizzDragon's headquarters and primary market in Singapore

Evidence from the source

FizzDragon leverages a suite of Alibaba Cloud products to build its "AIGC Global Creator System":

FizzDragon needed to coordinate a decentralized network of over 130 creators across 13 countries to produce a cinema-grade feature film.

FizzDragon's ambitious plan to rapidly scale its creator community demanded a cloud partner capable of supporting rapid global growth, seamless international collaboration, and a high-performance, low-latency platform for its users worldwide.

The core challenge was managing immense AI inference workloads and orchestrating a distributed, collaborative production pipeline that rivals traditional studios.

This required a highly scalable and stable IT infrastructure to support its "AIGC Global Creator System," a complex platform integrating over 20 mainstream video AI tools and nearly 100 proprietary AI agents.

Transparency Evidence & methodology 70/100 reference value · 77% 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 value70/100

Problem clarity20/20
Measures whether the customer's operational problem is specific enough to compare.
Implementation depth20/25
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 confidence77%

Source authority20/25
The main evidence is an official vendor-published customer story.
Claim traceability21/25
10 of 12 key fields link to a named source.
Direct evidence20/20
5 direct source quotes retained.
Date provenance0/10
The publication date has no documented provenance.
Source transparency8/10
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
FizzDragon customer story

First-party
https://www.alibabacloud.com/customers/fizzdragon

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

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

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