Investor Overview — ImplicitifyAI
The infrastructure layer for psychological measurement — a four-quadrant platform spanning self-knowledge, clinical EHR, institutional research, and corporate intelligence. 39+ validated 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 implicit-explicit alignment profiling for pre-hire assessment, leadership development, and team-level behavioral analytics. Organizational-scale delivery with value-alignment reporting.
Scientific defensibility
Deterministic scoring engine
All 39+ instruments are scored against published norms using deterministic symbol-counting rules. No AI-generated interpretation at the scoring layer — 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 portfolio (filed Nov 2025)
Five provisional USPTO patents cover the AI Safety Lab system — real-time cognitive slippage detection during human-AI interaction. First-mover position in an emerging regulatory and clinical need.
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.
Contact investor relations →