Proof of Usefulness Report

Aidea Lab

Analysis completed on 1/23/2026

+42
Proof of Usefulness Score
You're In Business

Aidea Lab appears to be a legitimate boutique AI consultancy based in North Macedonia, evidenced by the website 'aidea.mk' and detailed descriptions of academic R&D in NLP and wearable sensors. However, the project submission itself is of extremely low quality, containing demonstrably false claims (e.g., 'most people have used my product', audience reach 'everyone') and ambiguous financial data ('all time marketcap: 500000'). While the technical foundation seems credible based on the description, the lack of verifiable traction, the lazy data entry, and the nonsensical answers in key fields severely penalize the score, placing it in the 'Minimal Traction' tier.

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Score Breakdown

Real World Utility+17.5
Audience Reach Impact+2.0
Technical Innovation+11.25
Evidence Of Traction+1.25
Market Timing Relevance+7.0
Functional Completeness+0.25
Subtotal+39.25
Usefulness Multiplierx1.08
Final Score+42

Project Details

Project URL
Description
AI & Data science Powered by AI, AIDEA turns data into knowledge, helping companies to make informed data-driven decisions. AIDEA uses scientific methods and algorithms to extract insights from structured and unstructured data, as well as audio, video, text, and sensor data. By using AI we help companies to increase revenue & customer satisfaction, and at the same time decrease costs Research & Development AIDEA is founded by a team with extensive international academic and research experience, with more than 11 years of active R&D in the fields of applied AI and Machine learning, Wearable sensors analytics, Mobile healthcare, Affective computing, Behavior Analytics, Sports Analytics, Natural language processing. We develop and implement state of the art algorithms and models, as well as our own custom-made algorithms, tailored to the user’s needs. Beyond Data Science AIDEA’s algorithms can also bring added values for companies which produce wearable wellbeing, sport and fitness devices; companies which offer solutions for remote patient monitoring, on-site healthcare monitoring, and home/office environment monitoring; and, companies in the automotive industry, by enabling solutions that will detect, measure, and analyze human affective states (e.g., driving attention, stress, sleepiness, etc.). Application Domains – Any domain with data! You have data, we give you knowledge! We have an AIDEA! – Data science for companies: business intelligence for smarter decisions, predictive analytics to predict outcomes, assessing business decisions, intelligent digital assistants; – Natural Language Processing: text to speech & speech recognition for Macedonian, text classification, document clustering; – IoT, Mobile sensing & Human Behaviour Analytics – Energy sector: Energy consumption and production forecasting. – E-commerce: recommendation systems, user profiling – Banking & Insurance: risk analysis, churn prediction, user profiling, targeted marketing

Algorithm Insights

Market Position
Growing utility with room for optimization
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