Qscreen Ai Inc. · CSE:QAI

Qscreen Ai — Investor Presentation (April 2026)

26 slides from Qscreen Ai's investor presentation, April 2026

  1. Slide 1: Q-Screen AI Inc: AI-Powered Health & Quantum Optimization

    Qscreen AI Inc. Q-Screen AI Inc AI-Powered Health & Quantum Optimization QAI DECK Quantum-Inspired AI Platform | Multiple Live Products + Multiple Sector Extensions | Ready for commercialization

  2. Slide 2: Disclaimer

    Disclaimer This document provides a summary description of Q-Screen AI Inc. (“Q-Screen AI Inc.”), its subsidiary companies and its business and does not purport to be complete. Prospective investors are encouraged to obtain independent legal advice concerning any investment in securities of Q-Screen

  3. Slide 3: Executive Summary

    Executive Summary AI Platform Commercialized Through Public Safety & Enterprise Deployments • Immediate commercialization in corrections • High-margin recurring SaaS model • Proven deployments + scalability • Platform enabling multi-sector expansion “Proprietary Quantum-Inspired AI Platform with cen

  4. Slide 4: Company Overview

    Company Overview “Deployed platform converting physiological signals into real-time operational decisions across public safety and enterprise environments.” Unified Ecosystem The Technology One central intelligence nucleus Fuses traditional machine powers multiple live solutions and learning/compute

  5. Slide 5: QAI Engine

    QAI ENGINE QAI Multi-Product Ecosystem – Powered by One Central Intelligence Nucleus SmartHealth AI Station (live: Impairment + Infectious Disease) MobileWellbeing™ Remote Monitoring (beta commercialization) Mental Illness Diagnostic (R&D → full product) QTrialMatch Clinical SaaS + Defense/Enterpris

  6. Slide 6: Market Opportunity

    Market Opportunity Healthcare Diagnostics: Corrections & Public Safety (Primary Entry Market) Sector projected to reach USD 164.16 billion by 2030; strong demand for non-invasive, instantaneous triage. • High-liability environments with recurring screening budgets • Immediate adoption driven by safe

  7. Slide 7: Core AI Engine

    Core AI Engine From Signals to Real-Time Decisions • Converts physiological signals into real-time risk scoring • Operates in high-throughput, real-world environments • Powers multiple revenue-generating applications

  8. Slide 8: Quantum-Inspired Optimization

    Quantum- Inspired Optimization QscreenAI Inc. The Hybrid Approach: Fuses classical AI data extraction with quantum-inspired algorithms (stochastic annealing). Multi-Objective Problem Solving: Rapidly surveys millions of probabilistic states to optimize accuracy, cost, and timelines simultaneously, b

  9. Slide 9: Technology Differentiators

    Technology Differentiators Real-time decision intelligence (not raw data) Works in high-risk, high-throughput environments Continuously improves through live deployments Scales across multiple sectors from one core platform

  10. Slide 10: Real-World Deployments

    Real-World Deployments Real-World Data Advantage Deployed systems generate authentic, anonymized biological data that trains and refines the clinical trial predictive models. Commercial Readiness Proven Scale Clinical Validation Rapid deployment + Proven deployment Surpassed 500,000 real-world scans

  11. Slide 11: Corrections: Immediate Market Opportunity

    Corrections: Immediate Market Opportunity Public Safety & Corrections — Core Entry Vertical • Correctional facilities face rising challenges with drug smuggling, overdoses, and staff safety • Intake remains a high-risk, manual process with inconsistent screening and documentation • Incidents create

  12. Slide 12: Why Now

    Why Now “Urgent shift toward automated, AI-driven correctional infrastructure” Rising liability costs in correctional systems ($50K–$500K+ per incident) Increasing regulatory pressure and compliance requirements Severe staffing shortages driving need for automation Government openness to AI-based in

  13. Slide 13: Facility-Wide System

    Facility-Wide System Embedded Across the Entire Facility A facility-wide intelligence system, not a single checkpoint solution

  14. Slide 14: Deployment Model

    Deployment Model Land → Expand → Scale Pilot deployment (30–60 days) Validate ROI and performance Expand across facilities Screening-as-a-Service (SaaS) Multi-site SaaS contracts Recurring per-site or per-unit pricing High-margin, predictable revenue Expansion through additional modules and use case

  15. Slide 15: Why This Scales

    Why This Scales • Immediate commercialization in public safety (corrections) • High-margin recurring SaaS model • Proven deployment model from pilot to multi-site rollout • Platform expands across enterprise and healthcare markets • Strong IP, data advantage, and real-world validation

  16. Slide 16: Revenue Model

    Revenue Model High-Margin Recurring SaaS Screening-as-a-Service model Per-site or per-unit pricing Multi-year contracts Expansion through additional modules

  17. Slide 17: Intellectual Property

    Intellectual Property Quantum Optimization Patent: Filed U.S. provisional patent (Application 63/981,576) in Feb 17, 2026 for "Quantum-Inspired Multi-Objective Optimization" in operational environments. Impairment Screening Patent: Granted U.S. patent (2023) protecting AI/multispectral detection of

  18. Slide 18: Strategic Advantages

    Strategic Advantages De-Risked Execution Deterministic Output Real-world deployed technology that has transcended theoretical Delivers instantaneous, actionable mandates (e.g., "Fit for Duty") laboratory validation. rather than raw, uninterpreted data. Multi-Product Leverage Technological Superiorit

  19. Slide 19: Growth Strategy

    Growth Strategy Initial focus on public safety and government deployments North American Expansion: Scaling enterprise adoption across healthcare, public safety, and government sectors by leveraging established regulatory footprints High-Margin SaaS Model: Recurring “Screening-as-a-Service” model ta

  20. Slide 20: Vision

    Vision Global Leadership Expand across public safety, enterprise, and Scalable Platform Expansion healthcare Transformative Impact Leverage core AI engine for rapid product extensions Measurable Value Eliminate trial bottlenecks, prevent industrial accidents, and secure military readiness. US$300 Bi

  21. Slide 21: Investor Takeaways

    Investor Takeaways CSE:QAI, OTC:PMEDF, FRA:3QP Why This Scales Proven AI platform with real-world deployments Immediate commercialization in public safety markets High-margin recurring SaaS model Scalable across multiple sectors Strong IP and data advantage Trading at ~C$10-11M while comparables tra

  22. Slide 22: One Quantum-Inspired Central Intelligence Nucleus

    One Quantum-Inspired Central Intelligence Nucleus → SmartHealth AI Station, MobileWellbeing, QTrialMatch, Mental Health, Defense, and unlimited future products.

  23. Slide 23: SmartHealth Station Overview

    SmartHealth Station Overview Already validated in the real world including successful deployments, 95% QScreen SmartHealth AI Station accuracy with rapid deployment.” Edge-processed, integrated arrays of high-resolution RGB lenses and thermal infrared sensors. 21 Physiological Parameters Extracted C

  24. Slide 24: Company Ticker Market Cap comparison

    Market Cap Sector Focus & Target Company Ticker Rev Status Key Differentiator & Technological Positioning (CAD) Verticals Quantum-Inspired Multi-Product Platform . Live Live products + SmartHealth AI Station + MobileWellbeing Fresh focus on AI Health, Impairment Testing, U.S. quantum patent (Feb 202

  25. Slide 25: Capital Structure

    Capital Structure Shares Outstanding 206.79 million Share Price ~C$0.055 Market Cap (~C$10–11M ) Listings CSE:QAI, OTC:PMEDF, FRA:3QP

  26. Slide 26: Thank You!

    QScreen AI Inc. Thank You! CSE: QAI OTC:PMEDF and FRA:3QP QAI – Quantum-Inspired AI Platform | Multiple Live Products | Fresh quantum patent & scaling momentum (Feb 2026).” Investor Relations: info@qscreen.ai www.qscreen.ai

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