Science & validation

Patent-pending technology validated in operational environments

Patent Pending

Multimodal Analysis

IRB Approved

Multiple Research

Field Validation

DoD & Industry

Peer Review

Research Journals

The technology

Multimodal Digital Biomarker Analysis

Unlike conventional tools that compare you to population averages or rely on self-reported questionnaires, Okaya analyzes multiple streams of objective data from natural conversation to detect changes in your personal baseline. Our technology simultaneously analyzes independent data streams during conversational check-ins:

Visual Analysis

Facial micro-expressions and movement patterns
Eye tracking and blink patterns
Head position and motion dynamics

Acoustic Analysis

Vocal pitch variation and stability
Speech rate and rhythm patterns
Voice quality characteristics

Linguistic Analysis

Language complexity
Response patterns and cognitive load markers
Conversational coherence

Why Multimodal Matters

Single-channel assessment misses critical signals. Research demonstrates that:

Fatigue manifests differently across vocal, visual, and linguistic channels

Combining multiple streams improves detection accuracy

Cross-validation between channels reduces false signals

Personal baseline tracking requires multiple data points

(0-100)

The Okaya Index

Deviation from your personal baseline across validated biomarkers. Weighted composite of visual, acoustic, and linguistic features correlated with cognitive capacity. A readiness indicator tracking YOUR capacity to perform at YOUR standard.

90-100

Operating at personal peak

70-89

Detectable deviation from baseline

Below 70

Capacity reduction

Featured Studies

Research Validation

We collaborate with leading researchers to validate our platform.

Comparison

How Okaya stands apart

Multimodal analysis with personal baseline tracking addresses fundamental limitations in existing assessment approaches.

Self-Reports
Wearables
Voice-Only AI
Okaya
Objective data
Cognitive markers
Partial
Personal baseline tracking
Partial
Personal baseline tracking
Multimodal analysis
Partial (physical only)

Technical Questions

The technology works differently than conventional tools. Here's how.

How long before it establishes a baseline?

Personal baselines begin stabilizing after 5-7 check-ins. Optimal accuracy typically achieved after 10-14 days of regular use. Initial scores are generated immediately but become more accurate as your baseline establishes.

What's the signal-to-noise ratio for temporary variations?

The system accounts for normal day-to-day variations. Single low scores don't trigger alerts—the algorithm looks for sustained trends over multiple days or sudden significant drops. Multimodal convergence (2+ channels showing concurrent changes) significantly reduces false signals.

How does Okaya differ from wearable devices?

Complementary data streams. Wearables track physical metrics (HRV, sleep stages, activity). Okaya tracks cognitive and psychological markers (mental clarity, language complexity, stress response patterns). Physical fitness doesn't equal cognitive readiness.

What's required for data collection?

Any device with camera and microphone—smartphone, tablet, laptop. Web-based platform, no app installation required. Check-ins take 2-3 minutes. Daily recommended for optimal tracking; minimum 3x/week maintains accuracy.

Can it differentiate between physical illness and cognitive fatigue?

Partially. Physical illness often shows distinct vocal patterns that differ from cognitive fatigue. However, the system tracks overall operational capacity—whether decreased performance stems from physical or mental factors. Users can annotate sessions with context.

How does this compare to traditional clinical assessments?

Different purposes. Traditional screening diagnoses clinical disorders through self-reported symptoms at single time points. Okaya monitors operational readiness through objective biomarkers continuously. Not diagnostic—detects changes that may warrant clinical assessment.

For Researchers & Partners

Academic institutions conducting digital biomarker research

Military and government organizations focused on operational readiness

Healthcare systems exploring performance monitoring