Proof of Usefulness Report

Spatialbound Ltd.

Analysis completed on 2/19/2026

+20
Proof of Usefulness Score
You're In Business

Spatialbound presents an ambitious concept for an 'AI Operating System for the Physical World,' aligning with emerging trends in spatial computing and smart cities. However, the submission is critically undermined by verifiable falsehoods and low-effort responses. The claim that 'most people have used my product' is factually incorrect for a 6-person startup incorporated in late 2025. Additionally, the technology section lists only 'Software Development,' and financial metrics confuse market cap with revenue. While the market timing is strong, the lack of concrete evidence and unrealistic claims result in a negligible score.

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Score Breakdown

Real World Utility+25.0
Audience Reach Impact+5.0
Technical Innovation+20.0
Evidence Of Traction+0.0
Market Timing Relevance+80.0
Functional Completeness+5.0
Subtotal+18.5
Usefulness Multiplierx1.08
Final Score+20

Project Details

Project URL
Description
Spatialbound is building the AI Operating System for the Physical World. We connect AI directly to real-world spaces, buildings, cities, and built and natural environments, enabling autonomous perception, decision-making, and control. Our platform fuses spatial data, sensors, and machine learning to give physical systems the same intelligence and adaptability that cloud software brought to the digital world. Just as Android and iOS became the operating systems for mobile devices, Spatialbound will be the OS layer that makes the physical world programmable. Spatialbound offers a suite of native applications and agentic AI systems that orchestrate complex real-world tasks across physical environments.

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