How Hayati Works

Transparency without overload. Understand our analysis pipeline and how we generate wellness indicators.

The Analysis Pipeline

01

Image Acquisition

Capture or upload a facial image through our secure interface with real-time quality guidance.

02

Preprocessing & Quality Checks

Our system validates image quality, lighting, and positioning to ensure accurate analysis.

03

Facial Element Extraction

AI identifies and measures key facial elements, scoring each on a 1-10 intensity scale.

04

Condition Correlation

Multiple elements are analyzed together using weighted matrices to reduce false signals.

05

Confidence Scoring

Each indicator receives a confidence tier (High/Medium/Low) based on element correlation strength.

06

Human-Readable Report

Results are presented in plain language with clear explanations and recommended next steps.

Element Intensity Scales

Each facial element is measured on a standardized 1-10 scale, allowing for consistent tracking over time and meaningful comparisons.

  • 1-3Low intensity — minimal indicator presence
  • 4-6Moderate intensity — worth monitoring
  • 7-10High intensity — consider professional consultation

Confidence Tiers

Not all indicators are equally reliable. Our confidence tiers help you understand how much weight to give each result.

High Confidence

Strong multi-element correlation, consistent patterns

Medium Confidence

Moderate correlation, some supporting elements

Low Confidence

Limited correlation, treat as preliminary indicator

Why Multiple Elements Matter

Single-element analysis can produce false signals. By correlating multiple facial elements through weighted matrices, we significantly reduce noise and improve indicator reliability.

15+
Facial Elements Analyzed
3
Confidence Tiers
~75%
MVP Accuracy Target