About NeuralCipher
We are building an auditable platform for multimodal neurological signal research and clinician-reviewed decision support.
Our Mission
To make governed neurological signal research more accessible while preserving data provenance, explicit quality controls, and human clinical oversight.
Our Vision
A research ecosystem where high-quality longitudinal signal data can support reproducible studies and informed clinician review without replacing medical evaluation.
From Research to Real-World Impact
NeuralCipher began with a research question: how can voice, facial, finger, and movement signals be captured consistently enough for reproducible neurological studies?
Our team is building an auditable research platform with signal quality controls, versioned features, consent-aware datasets, and explicit model evaluation gates.
The platform connects structured signal capture, longitudinal feature review, clinician context, and research governance in one auditable workflow.
What We Stand For
Six principles that guide every decision we make — from product design to data handling.
Patient First
Every feature we build starts with one question: does this make life better for patients?
Evidence-Governed
Research references inform development; performance claims require independent external and subgroup validation.
Privacy by Design
Sensitive data uses encryption in transit and at rest, role-based access, and purpose-limited retention controls.
Speed & Accessibility
Browser-based acquisition protocols produce quality-controlled feature summaries for authorized review.
Collaboration
Participants, clinicians, and institutions collaborate through explicit permissions and auditable review history.
Global Reach
The web platform supports five reviewed interface languages across compatible devices.
Auditable Research Engineering
Our research pipeline uses documented methods, versioned features, and explicit evaluation gates. Clinical validation is pending.
Tech Stack
- Next.js 15 + React 19 — Server Components, streaming, edge-ready
- Python FastAPI microservice for real-time audio processing
- Praat/Parselmouth — industry-standard acoustic feature extraction
- Versioned candidate models require calibration, independent evaluation, and manual approval before activation.
- PostgreSQL + Prisma ORM — encrypted, role-based data access
Research Foundation
- External datasets are research references only; model use requires documented provenance, consent, and group-separated evaluation.
- Little MA et al. (2009) — Dysphonia measurements for Parkinson's telemonitoring
- Tsanas A et al. (2012) — Novel speech signal processing for Parkinson's classification
- Platt Scaling for probability calibration in binary classifiers
- PRAAT: Doing Phonetics by Computer (Boersma & Weenink, 2023)
Meet the People Behind NeuralCipher.ai
Researchers, engineers, and healthcare professionals building auditable measurement and review workflows.
Transparency & Compliance
Access our policies on privacy, security, and legal compliance below.
Ready to Explore the Research Platform?
Create an account for structured signal-capture and review workflows. Clinical validation is pending, and platform outputs do not replace medical evaluation.