NeuroSync Medical Division — Neurodivergence Assessment — Pre-Commercial

iTHINK.

DSM-5 aligned. 12+ conditions. Biometric. FHIR R4. HIPAA-ready. Alpha tested.

12+Conditions assessed

DSM-5Clinical framework

AES-256GCM encryption

FHIR R4Interoperability standard

The methodology → The platform → Conditions assessed → Partnership enquiry →

The methodology

NEURODIVERGENCE ASSESSMENT,
DECOMPOSED FROM
FIRST PRINCIPLES.

iThink is what happens when first-principles methodology is applied to neurodivergence assessment. Existing assessment tools almost all externalise the user's data to a third-party server, ask them to repeat themselves to strangers, or treat them as research subjects. iThink, by design, does none of these. The complete assessment — DSM-5 criteria, biometric pattern analysis, evidence compilation, clinical report generation — is designed to run entirely on the user's own device.

Nothing is transmitted unless the user explicitly chooses to share with a named healthcare provider, and even then only under their granular control. The same first-principles methodology that produced NeuroSync's organisational tools — applied here to a clinical problem rather than an organisational one.

The assessment

TWO ENGINES.
ONE ASSESSMENT.

iThink combines two analytical engines designed to corroborate one another. Neither engine alone is diagnostic. Together, they generate a structured clinical report that an assessing professional can use as a starting point — not a substitute.

Engine 01

DSM-5 ENGINE

Formal Diagnostic Criteria Evaluation

Evaluates against the formal diagnostic criteria for twelve neurodivergent conditions — autism spectrum, ADHD, dyslexia, sensory processing, OCD, Tourette, anxiety, depression and others. Each criterion scored individually, with confidence calibration and evidence-strength classification.

Criterion-by-criterion evaluation with confidence scoring 0–100%

Evidence-strength classification — low, moderate, high

Threshold analysis — meets / does not meet criteria

Structured next-step guidance for the assessing professional

Engine 02

BIOMETRIC ENGINE

Non-Verbal Signal Pattern Analysis

Looks for the non-verbal signatures that questionnaire data alone cannot capture. Eye-tracking measures attention stability, reading patterns, and ASD/ADHD indicators. Voice analysis examines prosody, rhythm, and articulation. Motor patterns reveal coordination, tremor, and impulsivity markers — all measured on-device, in real time, alongside the assessment.

Eye tracking — attention stability, reading patterns, ASD/ADHD indicators

Voice analysis — prosody, rhythm, articulation, stress markers

Motor patterns — smoothness, tremor, coordination, impulsivity

Quality assessment — data reliability and confidence metrics

Important

Neither engine alone is diagnostic. Together, they generate a structured clinical report that an assessing professional can use as a starting point — not a substitute.

The platform

CLINICAL ASSESSMENT.
DESIGNED FOR SCALE.

iThink is a React Native neurodivergence assessment platform aligned to DSM-5 diagnostic criteria. It is designed to assess 12+ neurodevelopmental and neurodivergent conditions using a combination of structured questionnaires and biometric data — designed to support clinical pathways, not replace clinical judgement.

Built with HIPAA-ready data architecture, AES-256-GCM encryption at rest and in transit, and FHIR R4 interoperability — designed so assessment outputs can feed into existing electronic health record infrastructure. Alpha tested. Pre app store — Apple Developer Program active, Google Play Console configured.

Seeking clinical partnership · Healthcare system integration · Licensing enquiries

FrameworkDSM-5Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition

PlatformReact NativeiOS and Android — single codebase

EncryptionAES-256-GCMAt rest and in transit — zero plaintext storage

InteroperabilityFHIR R4Designed for EHR integration — HL7 compatible

ComplianceHIPAA-readyDesigned to HIPAA technical safeguards standard

StatusAlpha testedPre app store — pre-commercial

Assessment scope

12+
CONDITIONS.

DSM-5 aligned assessment across neurodevelopmental and neurodivergent conditions. iThink is not a diagnostic tool — it is designed to generate structured assessment data that supports qualified clinical evaluation.

ADHD

DSM-5 314.00 / 314.01

Autism Spectrum

DSM-5 299.00

Dyslexia

Specific Learning Disorder 315.00

Dyscalculia

Specific Learning Disorder 315.1

Dyspraxia

Developmental Coordination 315.4

OCD

DSM-5 300.3

Tourette's

DSM-5 307.23

Sensory Processing

SPD — clinical screening

Executive Function

Cognitive assessment

Working Memory

Cognitive assessment

Anxiety

DSM-5 anxiety spectrum

+ More

12+ total conditions

The architecture

PRIVACY AS ARCHITECTURE,
NOT POLICY.

Most apps treat privacy as a policy: a settings menu, a consent dialogue, a paragraph in the terms. iThink treats privacy as architecture. The phone never sends raw biometric data, questionnaire responses, or clinical analyses to any server. The assessment runs on the device.

The encrypted local store uses AES-256-GCM keyed to the device's hardware-backed secure enclave (iOS) or hardware security module (Android), unlocked by biometric authentication. If the user later chooses to share their report with a named healthcare provider, the share happens through their chosen channel — encrypted PDF, FHIR R4, or secure portal — and only the specific data they authorise.

Encryption

AES-256-GCM

Military-grade symmetric encryption with authenticated integrity

Key Custody

HARDWARE

iOS Secure Enclave · Android Hardware Security Module

Network

LOCAL ONLY

Zero raw-data transmission unless the user explicitly authorises a share

Standard

FHIR R4

Healthcare interoperability format for explicit sharing only

The clinician's side

DESIGNED FOR THE CLINICIAN
ON THE OTHER SIDE.

Reports are generated to professional medical standard — executive summary, DSM-5 criterion analysis, evidence compilation, recommended next steps. Output is designed to be compatible with major electronic health record systems via FHIR R4.

Where the user chooses to share, the clinician receives the data they need; no more, no less; under the user's continuing control to revoke.

Clinical Report

Executive summary · DSM-5 criterion analysis · evidence compilation · recommended next steps.

EHR Compatibility

Designed to be compatible with major electronic health record systems via FHIR R4 export.

Granular Consent

Three sharing tiers — summary, full clinical, or complete data including biometrics — selected by the user, per share.

Revocable Access

Time-limited provider permissions. Real-time consent revocation. Complete sharing history with audit trail.

The interface

BUILT FOR
THE PEOPLE IT ASSESSES.

Most assessment tools are designed for the clinician, not the assessee. iThink reverses that priority. The interface is built to Beyond AAA accessibility standards with the additional sensory and cognitive considerations that the neurodivergent population specifically asks for. The same first-principles thinking that produced the methodology produced the interface.

The status

WHERE
WE ARE.

Alpha tested — iOS & Android — Pre-commercial

iThink is currently alpha tested on iOS and Android. We are in early conversation with healthcare providers, neurodivergence advocacy organisations, and clinical research partners about pilot deployments. Commercial availability and licensing arrangements are under development.

Enquiries welcome from healthcare systems, NHS trusts, private clinical networks, occupational health providers, educational institutions, clinical researchers, neurodivergence advocacy organisations, and individuals interested in early access. Alpha testing data and technical documentation available to qualified partners.

Partnership enquiry → Medical division →