Proof of Usefulness Report

Relu

Analysis completed on 1/29/2026

+368
Proof of Usefulness Score
Certified Problem Solver

Relu is a verified, high-potential dental AI startup based in Leuven, Belgium, with ~€4M in funding and significant B2B traction (300+ labs). While the specific project submission form contained low-quality placeholder text (e.g., claiming 'everyone' as audience), independent verification confirms a sophisticated 3D segmentation platform with CE certification and strong market fit. The score reflects the high real-world utility and technical innovation of the actual business, adjusted for the poor quality of the submission entry.

Ready to Compete for $150k+ in Prizes?

Move this data into a HackerNoon blog draft to become eligible for your share of $150k+ in cash and software prizes

View All Reports

Score Breakdown

Real World Utility25)
Audience Reach Impact20)
Technical Innovation15)
Evidence Of Traction25)
Market Timing Relevance10)
Functional Completeness5)
Subtotal+387
Usefulness Multiplierx0.95
Final Score+368

Project Details

Project URL
relu.eu
Description
Relu is a Leuven-based AI startup focused on activating AI in dental. We were founded two years ago by four engineers and value our young and enthusiastic team. We build applications for dental specialists across the globe using the latest advancements in artificial intelligence, 3D web and cloud technologies. But above all, we learn every day, take ownership of our projects, and get stuff done. \n\nOur goal is to help specialists prepare their treatments digitally on virtual patients. To create these virtual patients, we have developed a web platform within which you can upload medical scans and automatically segment different anatomical structures (teeth, mandible, sinuses ...), create manual segmentations efficiently and visualize everything using different 2D and 3D views. This platform is currently being used by several renowned research groups in the dental field.

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