Investor Overview — ImplicitifyAI
The infrastructure layer for psychological measurement — a multi-audience platform spanning self-knowledge, clinician-administered assessment, institutional research, and workplace selection. 63 instruments scored deterministically at consumer scale.
The four-quadrant model
Self-Knowledge (Consumer)
Direct-to-consumer psychological measurement with immediate report delivery. Free public-catalog assessments with on-screen scores and brief narratives. Converts curiosity into clinical literacy.
Clinical EHR (Professional)
Patient-link administered assessments with clinician-facing reports, progress notes, and longitudinal tracking. HIPAA-aligned. Integrates into existing documentation workflows.
Research Infrastructure
Academic licensing for individual researchers, graduate programs, and institutions. IRB-ready documentation, millisecond RT data export, participant link management, and APA poster generation.
Corporate Intelligence
AxisPoint workplace assessment for pre-hire selection and team development — curated self-report batteries with response-validity scales, single-link candidate delivery, and adverse-impact compliance reporting. Implicit-explicit alignment profiling is an active research direction.
Scientific defensibility
Deterministic scoring engine
All 63 instruments are scored by deterministic rules derived from each instrument's published scoring guide. Where an optional model-written narrative is offered, it is generated separately from the deterministic scores and disclosed as such — reproducible, auditable, and defensible in clinical and legal contexts.
Primary literature grounding
Every instrument is grounded in primary peer-reviewed literature. Norms are sourced from published validation studies (e.g., ELP for LDT, Chapman norms for RSAS, Luborsky 1998 for CCRT). No proprietary black boxes.
Rust → WebAssembly cognitive engine
Reaction-time tasks are compiled from Rust to WebAssembly for frame-locked stimulus timing. Millisecond precision on commodity hardware without a lab setup. First-mover defensibility in browser-based implicit measurement.
Patent pending (filed Nov 2025)
One U.S. non-provisional patent application covers ImplicitifyAI's assessment-delivery and scoring architecture.
Founder & scientific lead
Platform developed by Dr. Daniel Winarick, Ph.D., Licensed Clinical Psychologist (NY), Adelphi University Derner Institute. Peer-reviewed publication record in personality assessment and differential diagnosis.
Contact us
Investor inquiries welcome. Reach out via the contact form with subject "Investor Inquiry" and we'll respond within one business day.
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