Five-year model and GPU cost architecture for AI and 3D imaging

Real engagement. Client identity withheld under a confidentiality agreement.

AI Avatar Platform Scaling Model

  • 3 Product tiers modelled
  • 5 yr Financial and operational model

Overview

An AI and 3D imaging company needed to understand whether its avatar technology could scale profitably. We built a five-year financial and operational model across three product tiers, with the GPU runtime economics modelled explicitly.

The problem

The unit economics of generative avatar delivery are dominated by GPU runtime, which most models treat as a flat cost line. At scale that assumption breaks the forecast.

What we did

  1. Modelled three distinct tiers — pre-generated avatars for consumers, custom avatars via studio capture, and bespoke enterprise deployments.
  2. Costed GPU runtime across cloud and on-premise options rather than assuming a single provider.
  3. Modelled the scaling path from ten thousand users to millions of daily interactions, including spot instances, edge delivery and caching.

Delivered

  • Five-year financial model
  • Three-tier product architecture
  • GPU runtime and cloud cost analysis
  • Scalability roadmap

Specification

Practices: Finance & Accounting, IT, AI & Software Development
Industries: SaaS, Media

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Five-year model and GPU cost architecture for AI and 3D imaging