Round 1 Winners!
Proof of Usefulness Report

NEPA

Analysis completed on 5/3/2026

+51
Proof of Usefulness Score
You're In Business

AuraSense presents a highly compelling and well-articulated solution for Hong Kong's mandatory building inspection market, promising significant cost and time savings through drone orchestration and edge AI. However, as a pre-launch project with no active users or verifiable revenue, it scores understandably low on traction and current audience reach. The strong problem-solution fit and excellent market timing provide a solid foundation for future growth once the platform goes live.

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Score Breakdown

Real World Utility+20.0
Audience Reach Impact+2.0
Technical Innovation+10.5
Evidence Of Traction+0.6
Market Timing Relevance+8.5
Functional Completeness+6.75
Subtotal+48.35
Usefulness Multiplierx1.05
Final Score+51

Project Details

Project URL
Description
AuraSense is a Hong Kong–based AI orchestration platform that lets one licensed drone pilot and one registered inspector complete a full building facade inspection in a single day — the work a six-person crew traditionally takes three weeks and HK$80,000 to do. We coordinate drones, edge perception (NEPA runtime), compliance reporting, and dispatch through a WhatsApp-native interface, serving Hong Kong's HK$1.5B mandatory building inspection (MBIS) market today.
Audience Reach
Hong Kong's mandatory building inspection scheme (MBIS) covers 50,000+ buildings on a 10-year statutory rotation, with ~5,000 buildings due each year. Our directly addressable users in HK include 200–400 licensed commercial drone pilots, ~3,000 registered inspectors, 40–60 drone inspection firms, and the property management arms of every major HK landlord. The same platform extends regionally to Macau, Singapore, Taiwan, and Shenzhen (similar inspection regimes), and globally to the $40B commercial drone services and edge-robotics SDK market by 2028.
Target Users
AuraSense is built for three Hong Kong audiences who today cannot work directly with each other: licensed drone pilots and inspection firms (who currently subcontract to legacy consultancies at 15–25% of invoice), registered inspectors (who sign reports but rarely own the client relationship), and property managers (who pay HK$80k–200k per building for inspections that should cost a fraction of that). We're the missing coordination and intelligence layer that lets these three groups transact directly through a WhatsApp-native workflow, with full regulatory compliance and chain-of-custody. Long-term, the same platform serves robot makers and edge-AI developers who need a vendor-neutral perception substrate.
Technologies
Bright Data
Traction Evidence
pre-launch

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