TOON TECHFACIAL INTELLIGENCE INFRASTRUCTURE
FACIAL INTELLIGENCE INFRASTRUCTURE

The intelligence layer behind facial AI products.

Toon Tech gives product teams a reusable API for facial geometry, proportions, symmetry, appearance analysis and personalized outputs—without rebuilding the entire vision and model stack internally.

Get API access ↗ Read API docs
500K+PSL Google Play downloads
2production app case studies
API-firststructured developer output
API ANALYSISSTRUCTURED OUTPUT
GEOMETRYnormalized
SYMMETRYmeasured
analysis_8f24completed
face_shapeoval
geometry42 signals
symmetryenabled
proportionsenabled
personalizationready
{
  "status": "complete",
  "format": "json"
}
CVGEOMETRYMLFINE-TUNED LLMAPI
PRODUCTION PROOF

Already powering consumer AI products.

Toon Tech’s facial-intelligence layer is used by production applications that turn a user photo into structured facial analysis and personalized product experiences.

PCASE STUDY 01

PSL — Looksmax & Ascend

Facial analysis, structured scores, progress flows and personalized guidance.

500K+Google Play downloads
Read case study ↗
ACASE STUDY 02

Ascendr — PSL Scale Ascender

Structured face scoring, feature analysis and individualized consumer guidance.

4.7★App Store rating
Read case study ↗
WHAT TOON TECH DOES

One facial intelligence layer instead of a fragmented model stack.

Product teams can focus on their app while Toon Tech handles the reusable analysis layer: image intake, facial geometry, model routing, structured signals and product-ready output.

Explore the developer contract ↗
01

Product request

User-authorized image + requested modules.

YOUR APP
→
02

Toon Tech API

Validation, orchestration and task routing.

API LAYER
→
03

Facial intelligence

CV, geometry, ML models and fine-tuned reasoning.

MODEL STACK
→
04

Structured output

Predictable JSON for your own product experience.

DEVELOPER RESULT
MODEL ORCHESTRATION

From pixels to product logic.

A single facial-analysis request can touch several specialized systems. Toon Tech coordinates them behind one developer surface so partners do not need to maintain separate pipelines for every feature.

Task-scoped modulesStructured JSONFine-tuned personalization
01

Computer vision

Detect, normalize and map the facial regions needed by downstream modules.

CV
02

Geometry engine

Convert landmarks into normalized measurements, ratios, relationships and shape signals.

GEO
03

Task-specific ML

Run models that convert visual and geometric features into application-ready structured outputs.

ML
04

Fine-tuned language models

Turn structured signals into explanations and recommendations when the product requires a language layer.

LLM
CORE MODULES

Developer-ready facial signals.

Choose the analysis your product needs. Keep the experience, scoring presentation and business logic inside your own application.

01

Geometry

Normalized landmarks, region distances, ratios and face-shape signals.

02

Symmetry

Structured left/right correspondence and balance measurements for application logic.

03

Proportions

Relationships between facial thirds, widths, feature spacing and other geometry.

04

Appearance

Non-sensitive visual signals used in beauty, grooming and presentation experiences.

05

Scoring

Task-specific structured scoring systems built from defined model outputs.

06

Personalization

Fine-tuned language-model outputs that convert structured analysis into product-specific guidance.

CASE STUDIES

One infrastructure layer. Two different consumer products.

The proof is not that Toon Tech built the same app twice. It is that independently branded products can build different experiences on top of the same reusable facial-intelligence layer.

01 · PRODUCTION

PSL

Looksmax & Ascend

PSL uses Toon Tech facial intelligence to support image-based analysis, structured facial signals and personalized improvement flows inside a consumer product.

500K+Google Play downloads
4.7★Google Play rating
Full case study ↗
USER PHOTO↓TOON TECH ANALYSIS↓STRUCTURED SIGNALS↓PSL EXPERIENCE
02 · PRODUCTION

Ascendr

PSL Scale Ascender

Ascendr uses the same infrastructure pattern to support facial structure, symmetry and proportion analysis while presenting its own scoring and guidance experience.

4.7★App Store rating
iPhoneproduction application
Full case study ↗
USER PHOTO↓TOON TECH ANALYSIS↓STRUCTURED SIGNALS↓ASCENDR EXPERIENCE
DEVELOPER EXPERIENCE

A clean contract between your app and the intelligence layer.

Send an image, choose the modules your product needs and receive structured output. The public docs describe the integration model; production hosts and credentials are issued to approved partners.

Open API docsRequest sandbox access
POST /v1/analyses
curl -X POST https://api.toontech.example/v1/analyses \\
  -H "Authorization: Bearer $TOONTECH_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "image_url": "https://example.com/photo.jpg",
    "modules": ["geometry", "symmetry", "proportions"],
    "context": "grooming"
  }'
{
  "id": "analysis_8f24",
  "status": "completed",
  "face": {
    "shape": "oval",
    "geometry": { "..." },
    "symmetry": { "..." },
    "proportions": { "..." }
  }
}
USE CASES

One facial intelligence layer. Many products.

The platform is designed as reusable infrastructure rather than a single end-user interface.

01

Beauty Technology

Personalized beauty recommendations based on facial structure and appearance.

02

Hair & Grooming

Face-shape analysis, hairstyle compatibility, beard recommendations and hair-color personalization.

03

Facial Analysis

Geometry, proportional analysis, symmetry, feature measurement and structured scoring systems.

04

AR & Virtual Try-On

Use structured facial information to improve placement, fit logic and personalization.

05

Digital Humans

Use identity-relevant facial geometry from user-provided images to support more consistent avatars and digital-human experiences.

06

Personalization

Create AI experiences that adapt to an individual’s facial characteristics and product context.

07

Consumer AI

Enable developers to build new products without maintaining their own complete facial-analysis stack.

COMMERCIAL MODEL

Facial intelligence sold as infrastructure—not another consumer app.

Toon Tech’s business model is built around developer access: approved teams integrate the analysis layer into their own products and scale from evaluation to production usage.

01 · EVALUATE

Sandbox access

Validate the developer contract, test selected modules and confirm the outputs fit the product workflow.

TECHNICAL EVALUATION
02 · BUILD

Production API

Usage-based facial intelligence for consumer applications that need structured analysis without owning the full model stack.

CORE COMMERCIAL PRODUCT
03 · SCALE

Enterprise integration

Higher-volume workloads, integration support and commercial terms aligned to larger production deployments.

PARTNER SCALE
ACCELERATED COMPUTING ROADMAP

Facial intelligence becomes a GPU serving problem at scale.

Production analysis can involve multiple vision and model stages for every request. As partner volume and model complexity grow, Toon Tech is moving toward GPU-accelerated inference to increase throughput, reduce latency and support richer workloads.

NVIDIA technologies are part of the infrastructure evaluation roadmap; this site does not claim NVIDIA Inception membership or partnership.

NOW

Multi-model API serving

Orchestrate computer vision, geometry, task models and language components behind one request surface.

NEXT

CUDA / TensorRT evaluation

Profile model execution and optimize eligible inference workloads on NVIDIA GPUs.

SCALE

Higher-throughput inference

Support larger partner volumes, batch workloads and more demanding models without fragmenting the API.

ROADMAP

3D + video facial intelligence

Explore richer geometry and real-time/video workloads where accelerated compute becomes increasingly important.

TEAM

A small team focused on shipping facial AI infrastructure.

Toon Tech combines product direction with hands-on software development. The team is intentionally compact while the platform and partner base scale.

Bradley Barrett
01 · FOUNDER

Bradley Barrett

Founder

Product direction, partnerships and commercial strategy for Toon Tech’s facial-intelligence infrastructure and developer platform.

LinkedIn
Arifur Rahman
02 · ENGINEERING

Arifur Rahman

Developer

Developer focused on API infrastructure, model integration and the software systems that connect Toon Tech analysis to partner products.

PRODUCT BOUNDARIES

Built for user-authorized appearance intelligence.

Not identity recognition

The public platform is positioned around analysis of user-provided images for product personalization—not face identification or surveillance.

Not medical diagnosis

Consumer facial-analysis outputs are informational product features and should not be represented as clinical assessment.

No sensitive-trait promise

The public API is not positioned as a system for inferring protected or highly sensitive personal traits.

Partner data controls

Production retention, security and processing requirements are defined for approved partner integrations.

BUILD WITH TOON TECH

Your product experience.
Our facial intelligence layer.

Tell us what you are building, which analysis modules you need and the scale you expect. We’ll review the use case and discuss sandbox access.

Request API access ↗Read the docs