Round 1 Winners!
Proof of Usefulness Report

Toggle AI Inc.

Analysis completed on 3/18/2026

+42.28
Proof of Usefulness Score
You're In Business

The project targets a critical real-world problem (mental health screening) with a potentially innovative AI solution. However, the submission features highly exaggerated and unsupported claims regarding audience reach ('everyone') and traction ('most people have used my product'), leading to significant quality penalties. The all-time market cap of $2.5M does not align with the outsized claims of reach, placing this project in the minimal verifiable traction category.

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Score Breakdown

Real World Utility+20.0
Audience Reach Impact+3.0
Technical Innovation+10.5
Evidence Of Traction+2.5
Market Timing Relevance+8.0
Functional Completeness+0.5
Subtotal+44.5
Usefulness Multiplierx0.95
Final Score+42

Project Details

Project URL
Description
We empower organizations and institutions with the capabilities to more effectively identify mental health challenges to ensure patients, team members, and constituents receive the care they need. Toggle offers a new form of artificial intelligence that merges advances in computational cognition with machine learning. We call it Comp Cog AI, and it predicts anxiety, depression, and suicidal planning using a single 3-minute assessment involving images. Its accuracy is cutting-edge against peer-reviewed findings for these three mental health challenges and is immune to manipulation or gaming, ensuring highly repeatable results. Fast, accurate & inexpensive, Toggle’s solution is built on the latest developments in neuroscience and supported by deep academic review and competitive government funding. Example Use Cases: - Rapid & regular screening for Military, Defence and Public Safety personnel - Screen for mental health during every visit to the Emergency Room or Medical Clinic - Triage and best route callers in crisis line and telehealth environments - Regularly assess at-risk groups remotely, triggering outreach where needed - Offer screening to students and the workforce to deliver timely intervention

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