User image
The partner application captures a user-authorized input.
PSL Scale Ascender
An iPhone consumer product using structured facial analysis to create its own scoring, feature breakdown and personalized guidance experience.
Ascendr presents a consumer-facing experience centered on facial structure, symmetry, proportions and feature-level analysis. That requires a reliable way to transform a user image into structured data before the application can present its own scoring and guidance.
Toon Tech separates that underlying intelligence from the consumer experience, allowing the product to focus on its own positioning, UI and recommendation logic.
Ascendr demonstrates why Toon Tech is infrastructure rather than a single consumer application: the same analysis foundation can support a distinct brand and product logic.
The partner application captures a user-authorized input.
Relevant modules evaluate geometry, symmetry, proportions and application-scoped signals.
Ascendr maps structured outputs into its own rating framework and presentation.
The consumer sees an application-specific explanation and roadmap rather than generic raw model output.
The App Store listing emphasizes structure, symmetry, proportions and facial harmony. Toon Tech provides the reusable analysis foundation; Ascendr controls how those outputs become its consumer scoring and guidance experience.
Normalized structural signals for application-defined analysis.
Left/right correspondence and balance measurements delivered as structured data.
Feature and region relationships that can feed product-specific scoring logic.
Structured results can support tailored explanations without hard-coding one universal consumer UI.
Ascendr strengthens the platform story because it is not PSL. Different branding, different product presentation, same infrastructure thesis: developers consume facial intelligence and build their own experience on top.