The submission describes a promising B2B industrial AI concept ('Stepps') located in Porto Digital, focusing on computer vision and machine learning for production lines. However, the submission quality is critically low and contradictory. While the Portuguese description is professional, the English fields contain significant red flags: claiming the audience is 'everyone' and that 'most people have used my product' is factually impossible for a niche B2B tool with a team of 2-10. Additionally, the business type is listed as 'Personnel Placement,' contradicting the AI focus. Due to the lack of verifiable metrics and the presence of exaggerated claims, the score is heavily penalized despite the potential utility of the underlying technology.
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Score Breakdown
Project Details
Algorithm Insights
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