Proof of Usefulness Report

Iprova

Analysis completed on 2/9/2026

+607
Proof of Usefulness Score
Category Standard

Iprova is a verified, established deep-tech company (founded 2010) with significant high-value partnerships (BIC, Panasonic, Philips, Clarivate) and a claim of 1,500+ generated patents. While the project itself demonstrates exceptional B2B utility and technical innovation in AI-driven invention, the submission contained low-quality user data (e.g., placeholder name 'FrostFang', false 'audience reach: everyone' claim, and vague revenue figures). The evaluation scores reflect the high legitimate value of the company, adjusted downward by quality factors due to the poor submission metadata.

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 Utility+225
Audience Reach Impact+64
Technical Innovation+153
Evidence Of Traction+187.5
Market Timing Relevance+80
Functional Completeness+5
Subtotal+714.5
Usefulness Multiplierx0.85
Final Score+607

Project Details

Project URL
Description
Iprova is pioneering a data-driven approach to innovation which is transforming the way physical science inventions are created. Our technology harnesses the real-time inventive power of the world’s information. As a result commercially relevant breakthrough inventions may be created with unprecedented speed, agility and efficiency. We enable our clients to set up their own data-driven invention labs, or can provide inventions on demand. The inventions created with our data-driven invention technology help define next generation products and services, growing our clients top line revenues. “Iprova has demonstrated that their technology will enhance BIC’s approach to inventing products that solve the needs of our consumers. That’s why we decided to bring their technology in-house, strengthening BIC’s R&D capability and creating a stream of disruptive and diverse inventions.” Thomas Brette, Group Insights and Innovation Officer at BIC. “Working with Iprova allows us to efficiently acquire disruptive, yet commercially relevant, inventions which support Panasonic’s business strategy and objectives in the automotive area" Yoshiaki Tokuda, Director of Intellectual Property Center, Panasonic Corporation "Iprova provides us with very interesting 'out of the box' inventions which are relevant to our business. These drive both new opportunities for research and the expansion of our patent portfolio." Philips Intellectual Property & Standards Bill Fischer, Professor of Innovation Management at IMD, commented: "....Iprova has been able to raise the probability of innovation payoff". Martin Jaggi, Tenure-Track Assistant Professor at the Machine Learning and Optimization Laboratory at EPFL, added: “The AI and machine learning methods of Iprova are state-of-the-art, and it is a great pleasure to collaborate with their very skilled and motivated development team on research projects jointly with EPFL”.

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