What challenges did Piufoto face before AI implementation?

The company’s challenges lie in ensuring user data security and maintaining cloud server stability. The key objective includes prioritizing data safety and enhancing the reliability of the cloud infrastructure.

What was the impact of the AI solution?

Enabled prompt photo transfer from camera to shared albums. Enabled customers to download AI-retouched photos within seconds. Improved reliability and security for cross-border deployments and peak-event traffic.

Source

AlibabaEvidence: Low40/100

Piufoto: AI image retouching and live-photo streaming with Alibaba Cloud ECS/ACK, OSS and AI image processing

Use case typeContent delivery networkUpdated 2 days ago

Piufoto is a globally recognized leader in live-photo technology. Photographers can seamlessly connect their smartphones to a camera using the Piufoto app, either wired or wirelessly. Piufoto efficiently transfers photos from the camera to a shared album promptly and automatically without interrupting the photography process. Customers can download AI-retouched photos from the shared album within seconds, ensuring an exceptional visual experience. This technology is widely utilized at conferences, exhibitions, sports events, weddings, parties, and PR functions.

Organization: Piufoto
Industry: Consumer & Food
Location: Singapore
Published: July 2026

Reported outcomes

Strategic outcomes

Customer experience & trustEnabled near-instant AI-retouched photo downloadsScale & capacityImproved stability for high-traffic live-photo deliveryRisk & complianceStrengthened data security and lawful processing

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Piufoto
Provider: Alibaba
Maturity: Unknown
Linked source: Alibaba Cloud Customers

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 2 of 2

1Content delivery network
2Image processing

The company’s challenges lie in ensuring user data security and maintaining cloud server stability.
The key objective includes prioritizing data safety and enhancing the reliability of the cloud infrastructure.

Piufoto harnesses Alibaba Cloud Elastic Compute Service (ECS) and Container Service for Kubernetes (ACK) to ensure smooth and stable data transmission for its AI image editing platform.
It uses Object Storage Service (OSS) for data storage, fortified with Server Load Balancer (SLB) to manage high traffic and support concurrent browsing seamlessly.
Piufoto integrates Container Registry (ACR) for secure image storage and deployment, Security Log Service (SLS) to ensure legality of data processing, Elastic IP (EIP) for stable connectivity, and Content Delivery Network (CDN) plus Dynamic Route for CDN (DCDN) to optimize image loading times.
It also incorporates Alibaba Cloud image recognition and processing capabilities to power AI image editing.

Technologies

Alibaba Cloud Elastic Compute Service Alibaba Cloud Container Service for Kubernetes (ACK)Alibaba Cloud Object Storage Service (OSS)Alibaba Cloud Server Load Balancer Alibaba Cloud Container Registry (ACR)Alibaba Cloud Security Log Service (SLS)Alibaba Cloud Elastic IP (EIP)Alibaba Cloud Content Delivery Network Alibaba Cloud Dynamic Route for CDN (DCDN)Alibaba Cloud image recognition and processing

Enabled prompt photo transfer from camera to shared albums.
Enabled customers to download AI-retouched photos within seconds.
Improved reliability and security for cross-border deployments and peak-event traffic.

Architecture

Piufoto runs its AI image editing and live-photo streaming service on Alibaba Cloud ECS with ACK-managed containers, OSS storage, SLB traffic distribution, ACR secure image storage, SLS logging, EIP connectivity, and CDN/DCDN acceleration, plus Alibaba Cloud image recognition and processing for retouching.

Sources & evidence1

Evidence: Low40/100Evidence strength