IT & AI · Biotech
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← All workClient Engagement
AI Avatar Platform Scaling Model
Five-year model and GPU cost architecture for AI and 3D imaging
Real engagement. Client identity withheld under a confidentiality agreement.
- 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
- 01Modelled three distinct tiers — pre-generated avatars for consumers, custom avatars via studio capture, and bespoke enterprise deployments.
- 02Costed GPU runtime across cloud and on-premise options rather than assuming a single provider.
- 03Modelled 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 and pricing architecture
- GPU runtime and cloud cost analysis
- Scalability roadmap
Specification
- Practices
- Finance & Accounting, IT, AI & Software Development
- Industries
- SaaS, Media
