Proof of Usefulness Report

SafeNav

Analysis completed on 3/8/2026

+317
Proof of Usefulness Score
Certified Problem Solver

SafeNav is a verifiable, high-utility EU/UKRI-funded maritime safety project (€8M budget) developing AI-driven collision avoidance systems. While the project itself possesses significant technical merit, innovation, and industry backing (Naval Group, DNV certification in progress), the submission data is of extremely low quality. Claims such as 'Audience Reach: everyone' and 'Traction: most people' are factually incorrect for a B2B pilot-stage product. The score acknowledges the project's strong fundamentals and verified funding but is heavily penalized by the lack of commercial users and the poor credibility of the submission inputs.

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Score Breakdown

Real World Utility+149.0
Audience Reach Impact+7.0
Technical Innovation+85.0
Evidence Of Traction+50.0
Market Timing Relevance+59.0
Functional Completeness+2.0
Subtotal+352
Usefulness Multiplierx0.90
Final Score+317

Project Details

Description
SafeNav is an Digital Co-Pilot to avoid collisions and groundings at sea. The “SafeNav Platform” provides advanced collision avoidance with real-time COLREG-adherent Co-Pilot and a "Navigation Database". All through a user-friendly interface designed by Navigators, for Navigators. SafeNav is redefining safety, efficiency, and sustainability in navigation with several of its additional features such as: In-situ met-ocean data collected from the ships, and Heavy Weather Avoidance, AI based Voyage Optimizing, Risk Levels for reducing navigation, and thereby contributing to decarbonization through lower emissions. SafeNav leads the future of Safer Navigation at Sea, and the steppingstones towards the first autonomous navigation level (MASS Level 1) with Decision Support Systems for the Navigators onboard today, and beyond.

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