Proof of Usefulness Report

Aion HealthTech

Analysis completed on 2/4/2026

+118
Proof of Usefulness Score
Gaining Momentum

Aion HealthTech is a verifiable, woman-led Canadian startup (founded by Sarah Marchand-Lacoursière) developing 'Elyx', an AI clinical decision support system. However, the project submission contains significant inaccuracies and unprofessional claims (e.g., 'most people have used my product', 'audience: everyone') that contradict the specialized nature of the tool. While the problem space (mental health AI) is high-utility and timely, the low-effort submission and confusion between valuation and 'marketcap' heavily penalize the score. The project is early-stage/pre-seed, not mass-market as claimed.

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Score Breakdown

Real World Utility+27.0
Audience Reach Impact+6.4
Technical Innovation+11.25
Evidence Of Traction+3.75
Market Timing Relevance+9.5
Functional Completeness+0.5
Subtotal+58.4
Usefulness Multiplierx1.15
Final Score+67

Project Details

Description
🚀 Reimagining Mental Health Care with AI Mental health services are stretched to their limits—delays, rushed appointments, and reactive care leave too many patients underserved. We believe AI can be part of the solution. At Aion HealthTech, we are developing an AI-powered clinical decision support system designed to enhance mental health care. Our goal is to: ✅ Help clinicians process complex patient information faster and more efficiently ✅ Improve diagnostic accuracy and treatment planning through AI-driven insights ✅ Identify mental health risks earlier, enabling more timely interventions Designed to integrate seamlessly into clinical workflows, Aion’s platform is being built with regulatory standards (HIPAA, ISO, FDA/Health Canada) and real-world clinical needs in mind. Mental health care should be smarter, faster, and more effective. We're making it happen. ✨ 🔗 www.aionhealthtech.com

Algorithm Insights

Market Position
Growing utility with room for optimization
User Engagement
Documented reach suggests active user community
Technical Stack
Modern tech stack aligned with sponsor technologies

Recommendations to Increase Usefulness Score

Document User Growth

Provide specific metrics on user acquisition and retention rates

Showcase Revenue Model

Detail sustainable monetization strategy and current revenue streams

Expand Evidence Base

Include testimonials, case studies, and third-party validation

Technical Roadmap

Share development milestones and feature completion timeline