Service
QA & Automation, System Reliability, System Validation
QA & Automation, System Reliability, System Validation
Clients
ADIDAS
ADIDAS
Date
2023
2023
Software
3D Design Upload and Rendering Platform
3D Design Upload and Rendering Platform
Location
Global (Cloud-based, AWS)
Global (Cloud-based, AWS)
The Challenge
Adidas operates a complex digital creation platform used to upload, validate, render, and process 3D product designs at scale. The platform is built on a large ecosystem of interconnected scripts and plugins that support multiple workflows, rendering configurations, and output formats.
As the platform transitioned from local infrastructure to cloud-based execution on AWS, ensuring reliability, correctness, and consistency across all workflows became critical to maintaining trust in the digital creation pipeline.
Industry
Fashion, 3D, Digital Creation
Fashion, 3D, Digital Creation
Scope
QA Strategy, Automation, Systems Validation
QA Strategy, Automation, Systems Validation
Role
End-to-end Quality Engineering
End-to-end Quality Engineering
Validation role
End-to-end Quality Engineering
End-to-end Quality Engineering
The Platform
- Design upload and lifecycle management
- 3D scene validation using MODO-based workflows
- Rendering pipelines across multiple quality levels
- Post-processing and asset ingestion
- AI-generated reporting
- Plugin-based execution across multiple versions
The Approach
Quality was engineered into the 3D pipeline, validating critical workflows across rendering modes, plugins, and outputs.
Automation focused on protecting key paths, ensuring consistency across versions, and enabling fast feedback with future-ready cloud scalability.
Quality Outcomes
- Increased confidence in cloud migration readiness
- Reduced risk of rendering regressions during plugin updates
- Faster validation cycles for development teams
- Clear quality gates for complex design workflows
- Enabled safe scaling of digital creation workflows
Why This Matters
Avento’s role
This project reflects Avento’s belief that software quality must be engineered into complex systems from day one, especially when operating at the intersection of 3D workflows, automation, and cloud infrastructure.



