Multimodal Neurological Research Platform

Explore Neurological Signal Patterns

Capture voice, facial, eye-movement, finger, and motion signals in your browser. NeuralCipher produces quality-controlled feature summaries for research and clinician review; it does not provide a diagnosis.

NeuralCipher.ai — Voice Analysis
Illustrative demo — not a clinical result
Recording Voice
0:00
Hold a steady "Aah" sound
0
Signal Modalities
0+
Signal Features
0
Supported Languages
0s
Analysis Time
Structured Workflow

From Signal Capture to Review with Explicit Quality Gates

Use supported browser hardware to capture research signals; quality checks indicate whether a session is usable.

Voice Analysis

Versioned acoustic feature measurements from sustained vowels, rapid syllables, and maximum phonation time.

JitterShimmerHNRMFCC

Face & Eye

Hypomimia, blink rate and saccadic movement analysis for facial expression restriction assessment.

MARBlink RateSaccadeSymmetry

Finger Tap

Alternating finger tap speed and consistency analysis for bradykinesia and rhythmicity assessment.

Tap SpeedRhythmicityAmplitudeLatency

Hand Tremor

Postural tremor analysis using accelerometer and gyroscope data. FFT/PSD spectral analysis.

FFTPSDPeak FrequencyAmplitude
Platform Capabilities

Research and Decision Support

From signal capture to versioned feature summaries — an auditable multimodal workflow for participants, clinicians, and research institutions.

Voice Biomarkers

Acoustic features such as jitter, shimmer, HNR, MFCC, and formant measurements

Jitter%
Shimmer
HNR
MFCC
Fo(Hz)
NHR

Face & Eye Biomarkers

Hypomimia, blink rate, saccadic movement, and facial symmetry analysis

MAR
Blink Rate
Saccade
Symmetry
Hypomimia
Eye Opening

Finger Tap Biomarkers

Bradykinesia, rhythmicity, amplitude changes, and fatigue index

Tap Speed
Rhythmicity
Amplitude
Latency
Fatigue
CV

Hand Tremor Biomarkers

FFT/PSD spectral analysis, peak frequency, RMS amplitude, and entropy

FFT
PSD
Peak Freq
RMS
Entropy
Harmonic

Auditable Research Pipeline

Signal quality controls and versioned feature extraction are ready. Model outputs remain gated until dataset, calibration, and clinical evaluation requirements are complete.

Signal QC
PASS
+
Model Gate
PENDING

Structured Summaries

Review quality-controlled feature summaries after each completed signal-capture workflow.

<3s

Signal History

Review longitudinal signal features and compare compatible sessions side by side.

Privacy & Security

Encryption in transit and at rest, role-based access control, and purpose-limited data handling.

EncryptedRBAChttpOnlyJWT

Clinician Review

Authorized clinicians can review feature summaries, compare compatible sessions, and add contextual notes.

  • One-click result sharing with doctors
  • Doctor can add clinical notes to tests
  • Track patient trends over time
  • Role-based access control
Patient
Records tests & views results
Active
shares data with
Doctor
Reviews results & adds notes
3
patients
reports to
Institution
Manages doctors & oversight
8
doctors
Governed Collaboration

Designed for Coordinated Research Workflows

Participants can review signal history, clinicians can add context, and institutions can coordinate governed research workflows.

For Participants

Review Your Signal History

Capture voice, face, finger, movement, and spectral signals from your browser, review trends, and share summaries with an authorized clinician.

  • Browser-based multi-modal tests
  • Detailed biomarker analysis
  • Historical trend tracking
  • Share with your doctor
Register as Patient

Illustrative interface data — not a clinical result

Participant WorkspaceIllustrative View
0.18
Feature Index
12
Total Tests
2
Doctors
Feature Trend
For Clinicians

Review & Contextualize Participant Signals

Review authorized feature summaries, compare compatible sessions, and add contextual notes.

Illustrative interface data — not a clinical result

A
Ayse K.
0.15Review Complete
M
Mehmet D.
0.42Needs Review
F
Fatma S.
0.08Review Complete

Doctors are invited by their institution. Ask your institution to register.

For Institutions

Coordinate Your Research Workflow

Manage clinician access, review activity, and research workflows from a centralized dashboard.

Illustrative interface data — not a clinical result

8
Active Doctors
156
Total Patients
482
Tests Completed
4
Signal Modalities
Register as Institution
Under the Hood

Built on Research Engineering

Our research pipeline uses documented signal processing, versioned features, and explicit evaluation gates. Clinical validation is pending.

Multi-Modal Input

Browser-based capture of voice, face, finger tapping and tremor data

Feature Extraction

Acoustic, geometric, motor and spectral feature extraction

Dual Analysis

Rule-based deviation indexes plus governed candidate-model evaluation; no model is activated without approval gates

Model Calibration

Held-out calibration metadata; not a clinical risk estimate

Clinical Validation Pending

This software is for research and decision support; it is not a medical device or diagnosis, and independent clinical validation is pending.

Privacy-First Design

All data processed in real-time. Encrypted storage. Role-based access control.

Operational Research Pipeline

Containerized services, health checks, error handling, and monitoring support research operations; this does not imply clinical readiness.

Our Team

Meet the People Behind NeuralCipher.ai

Researchers, engineers, and healthcare professionals building auditable measurement and review workflows.

SY

Salih Yaldız

Founder & CEO

AI, HealthTech, Signal Research, Clinical AI Governance

FY

Feride Yaldız

Founder & Creative Director

Brand Strategy, Creative Direction, HealthTech Communication

ÖA

Ömer Ağyol

Founder & CEO

Business Development, Revenue Growth, Strategy, Partnerships

DY

Dr. Yavuz Selim Silay

Co-Founder & Clinical/Medical Lead

Medicine, HealthTech, Clinical Practice, Healthcare Innovation

KT

Kadir Tamrak

Co-Founder – Int'l Venture Dev Manager & CMO

Uluslararası Girişimcilik, Marka Stratejisi, Büyüme Pazarlaması

HR

Hasan Randa

CTO

Artificial Intelligence, Software Engineering, System Architecture, HealthTech

İÖ

İbrahim Özdemir

Product Strategist

Product Strategy, User Experience, Design Thinking, Innovation

RP

Rodi Pala

Neuroscience & Clinical Research Specialist

Neuroscience, Physiotherapy, Movement Analysis, Clinical Research

Vedat Çiftçi

Marketing

Marketing

Zeynep Özge

AI Diagnostics Developer

Artificial Intelligence Development

İY

İlayda Yavuz

Clinical Research Specialist

Physiotherapy, Neurorehabilitation, Neurology, Clinical Research

AG

Ali Gökçe

Software Engineer (Full-Stack)

Java, Spring Boot, React.js, Next.js, API Development

HU

Hakan Urtimur

Full-Stack & Mobile Developer

React, Next.js, Node.js, Flutter, API Integration

AS

Ahmet Selim Küçükaydın

AI & Backend Developer

Python, NLP, Backend Development, DevOps, AI Systems

Zeliha Özbay

Software Developer Intern

Programming, Software Development, Python, Problem Solving

FAQ

Frequently Asked Questions

What to know about NeuralCipher.ai measurements, research use, and scientific limitations.

NeuralCipher.ai is a multimodal research and decision-support platform for voice, face, finger, and movement signals. It does not diagnose disease or replace clinical evaluation.

We do not claim accuracy, sensitivity, or specificity before independent clinical validation. Performance may only be reported from documented external and subgroup evaluation.

The pipeline uses signal quality controls, versioned feature extraction, patient-group-separated datasets, and independent model evaluation gates. No active production model is approved.

Duration depends on the selected protocol and input quality. A result is produced only after required completeness and quality checks pass.

Sensitive data is protected with documented access controls, audit logging, retention rules, and user data-request workflows. Regulated deployments require legal, privacy, and security review; no certification is asserted.

The web application supports compatible modern browsers and device sensors. Availability varies by browser permissions, camera support, and sensor APIs.

Adults may use research signal-capture workflows when they can follow the protocol and provide the required consent. Results require contextual review and do not establish demographic clinical norms.

Repeat only under comparable conditions and at an interval appropriate to the research protocol or clinician-reviewed plan. An index change alone does not establish clinical progression.

The platform summarizes acoustic features, camera-derived movement proxies, accelerometer frequency and amplitude features, drawing features, and self-reported response domains. Each module reports input quality and scientific limitations.

Available plans and current limits are shown on the plans page. Plan access changes available workflows, history, reports, and collaboration features; it does not change scientific validity.

Ready to Explore the Research Platform?

Create an account to use structured signal-capture, review, and research workflows. Clinical validation is pending, and outputs do not replace medical evaluation.