Proof of Usefulness Report

Adamant Health

Analysis completed on 2/13/2026

+338
Proof of Usefulness Score
Certified Problem Solver

Adamant Health is a verified Finnish health-tech startup (University of Eastern Finland spin-off) with a CE-marked medical device for Parkinson's monitoring and approximately $6M in funding. While the technical foundation and real-world utility are high, the submission contained significant inaccuracies, including a grossly exaggerated team size (claimed 125, verified ~17) and false audience claims ('most people have used my product'). The project scores well on innovation and utility but is penalized for response quality and the early stage of commercial traction compared to the user's claims.

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Score Breakdown

Real World Utility+175.00
Audience Reach Impact+5.00
Technical Innovation+105.00
Evidence Of Traction+25.00
Market Timing Relevance+60.00
Functional Completeness+5.00
Subtotal+375
Usefulness Multiplierx0.90
Final Score+338

Project Details

Description
We are helping people with Parkinson's disease by providing an accurate and clear picture of their condition to get the best treatment possible, improving their quality of life. Adamant Health is a Finnish health-tech startup on a mission to revolutionize the care of Parkinson’s disease by enabling data-driven disease management, supporting earlier diagnosis and improving patient outcomes. The company was founded in 2020 as a spin-off from the University of Eastern Finland to bring our research-based, innovative technology to patients, clinicians, healthcare service providers and companies developing new therapies. We have developed the first, advanced precision technology able to measure the visible and invisible motor symptoms of Parkinson's disease. Our unique CE-marked data-analysis technology, based on surface electromyography (EMG) and motion measurement, provides detailed and accurate symptom data, essential for supporting personalized treatment that can be continuously optimized. Our technology is based on over 15 years of research with more than 25 scientific articles published in international publications. In addition to Parkinson's disease, our technology brings also visibility to the symptoms of various other movement disorders.

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