Tencent Cloud Software / SaaS Global

CGTrader

CGTrader needed to remove manual bottlenecks from 3D asset production, help buyers source high-quality models at scale, and lower the technical barriers that made production-ready 3D creation slow and dependent on highly specialized experts.

Reported impact

Business outcome

CGTrader established what it describes as the first AI-powered 3D creation workflow inside a 3D model marketplace, giving creators faster asset generation while helping buyers and designers scale output with less technical friction.

  • Customer Experience
  • Productivity Improvement
  • Scalability

Solution

CGTrader used Tencent Cloud to make AI-assisted 3D creation part of its marketplace workflow instead of a separate experimental tool. At the center of the deployment is Tencent HY 3D Global, which CGTrader uses as an API-driven generative engine to transform 2D reference images into production-ready 3D assets with precise geometry and PBR textures. Designers and buyers interact through CGTrader's platform, submit source references, and receive generated assets back into the same commercial and creative workflow for refinement, delivery, or sale. Tencent Cloud's contribution is both the model capability and the integration support needed to operationalize it at marketplace scale. The result is a production architecture that accelerates the modeling lifecycle, reduces repetitive technical work, and makes higher-volume 3D asset creation more practical for both B2B and B2C demand.

Data flow

Designers or buyers provide 2D reference images through CGTrader's platform, Tencent HY 3D Global performs the generative 3D step through API calls, and the resulting geometry and PBR-textured assets flow back into CGTrader's marketplace and downstream creative workflows.

Solution architecture

1 components · 1 layer
  1. Compute
    • Tencent HY 3D Global Generates production-ready 3D assets from 2D reference images through API-based services integrated into CGTrader's workflow.

Architecture clues

  • Generated assets include precise geometry and PBR textures for production-readiness.
  • The AI workflow is embedded directly inside the marketplace experience.
  • The implementation uses API-based generative services rather than a standalone desktop tool.

Evidence from the source

CGTrader aims to solidify its market leadership by establishing the industry's first AI-powered 3D creation workflow.
Tencent HY 3D Global serves as the underlying generative engine of the integrated AI-powered 3D creation workflow, delivering API-based services for advanced 3D model generation.
This collaboration focuses on accelerating the modeling lifecycle, utilizing API-based generative services to rapidly transform 2D references into production-ready assets with professional-grade precision.
This enables the platform to convert 2D reference images into production-ready 3D assets with precise geometry and PBR textures, significantly accelerating the modeling lifecycle.
Transparency Evidence & methodology 75/100 reference value · 81% confidence · 2 sources

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

01

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 confidence81%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability23/25
    11 of 12 key fields link to a named source.
  • Direct evidence20/20
    4 direct source quotes retained.
  • Date provenance0/10
    The publication date has no documented provenance.
  • Source transparency10/10
    2 source references document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity8/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

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

  1. Tencent Cloud

    CGTrader | Tencent Cloud

    First-party
    https://intl.cloud.tencent.com/customers/detail/3577
    Source type
    Vendor-published customer story
    Supports
    • Customer
    • Region
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • Business outcome
    • Architecture
    • evidence quotes
  2. LinkedIn

    CGTrader | LinkedIn

    Independent secondary
    https://www.linkedin.com/company/cgtrader/

    The public company page's Organization JSON-LD includes numberOfEmployees value 494.

    Source type
    Structured company profile
    Supports
    • Company size
Not separately sourced Industry, Metrics. Treat these normalized attributes as lower-confidence until a dedicated source is added.