Proof of Usefulness Report

Huijia Health Nfopt AI Biosensor

Analysis completed on 2/28/2026

+338
Proof of Usefulness Score
Certified Problem Solver

Huijia Health (project name submitted as 'DeepBlade') represents a legitimate, award-winning Taiwanese medical technology company with significant traction (500+ care institutions, 100k+ patients). The core nFOPT® technology is highly innovative, offering non-invasive, fiber-optic physiological monitoring without electromagnetic interference, directly addressing aging population needs. However, the submission itself is of very low quality, containing nonsensical claims (e.g., 'most people have used my product', 'marketcap: 500000') which severely undermines the credibility of the entry despite the verifiable excellence of the underlying business. The score reflects the high real-world value and proven technology, heavily penalized for the unprofessional submission data.

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Score Breakdown

Real World Utility+26.4
Audience Reach Impact+10.4
Technical Innovation+16.2
Evidence Of Traction+12.0
Market Timing Relevance+8.5
Functional Completeness+0.5
Subtotal+74.0
Usefulness Multiplierx0.91
Final Score+338

Project Details

Project URL
huijiahealth.com.tw
Description
Huijia Health’s nFOPT® non-invasive fiber optic physiological monitoring technology and AI Smart Care System is a non-invasive, AI-powered physiological monitoring system that transforms any mattress into a smart health bed. Deployed in over 500 care institutions and used by 100,000+ patients, it captures vital signs such as respiration, heart rate, and sleep without contact or wearables. The 2mm fiber optic sensor enables 24/7 dynamic monitoring with ultra-low electromagnetic emissions and minimal energy use. Supporting SDG 3 and SDG 12, it reduces waste and extends the life of existing beds. nFOPT® automates health alerts and caregiver handovers with the integration of Generative AI, easing workload and addressing workforce shortages in aging societies. Its open API integrates with care platforms and national systems, eliminating manual data entry. This sustainable, scalable solution enhances care efficiency, digital inclusion, and well-being across healthcare settings.

Algorithm Insights

Market Position
Strong market validation with clear user adoption patterns
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