Transparency Without Overload

How Hayati Works

Understand our analysis pipeline and how we generate wellness indicators with full transparency.

The Analysis Pipeline

Six carefully designed steps to deliver accurate, explainable wellness indicators

Step 01

Image Acquisition

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

Step 02

Preprocessing & Quality Checks

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

Step 03

Facial Element Extraction

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

Step 04

Condition Correlation

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

Step 05

Confidence Scoring

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

Step 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.

1-3
Low Intensity
Minimal indicator presence
4-6
Moderate Intensity
Worth monitoring
7-10
High 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
85%+

Strong multi-element correlation, consistent patterns

Medium Confidence
60-84%

Moderate correlation, some supporting elements

Low Confidence
<60%

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.

0+
Facial Elements Analyzed
0
Confidence Tiers
~0%
MVP Accuracy Target