Proof of Usefulness Report

UlalaLAB

Analysis completed on 2/18/2026

+305
Proof of Usefulness Score
Certified Problem Solver

UlalaLAB is a verifiable South Korean IIoT company (est. 2011) with a legitimate product (WimFactory) and credible partners (Nike, Adidas, Tata). However, the project submission itself is of extremely low quality, containing false claims about audience reach ('everyone') and traction ('most people have used my product'). While the technology has high real-world utility for manufacturing, the submission's lack of seriousness and accuracy heavily penalizes the reach, traction, and response quality scores. The final score reflects a legitimate business weighed down by a poor submission.

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Score Breakdown

Real World Utility+18.75
Audience Reach Impact+2.00
Technical Innovation+9.75
Evidence Of Traction+3.75
Market Timing Relevance+5.00
Functional Completeness+0.25
Subtotal+39.5
Usefulness Multiplierx0.77
Final Score+304

Project Details

Project URL
Description
ulalaLAB is a South Korean startup company specializing in IIoT, SaaS and Machine Learning technologies, that develops, manufactures, and sells affordable and easy to implement IoT Smart Factory platform with AI based industrial big data analytics for small and medium size enterprise manufacturers both in Korea and abroad. We are dedicated to address issues that industries, people and society face every day by providing cost effective, easy to implement solutions that effectively combine innovative technologies with ‘human’ at the center of everything. We emphasize on importance of connected technology in human and machinery daily work balance with people and businesses conveniently utilizing our solutions to perform better more informed decisions. Our Smart Factory Platform a 'WimFactory' is a simplified solution that conveniently & cost effectively transforms SME factories into Industry 4.0 standards 'in minutes not month' by simply installing one or few of self-developed IIoT Devices 'Wicon' that works in a principal of plug & play technology. And jointly with Cloud Platform and Machine Learning capabilities enable factories to gain instant access to real time data by capturing, analyzing and displaying operations data from all types of sensors surrounding production line, even from old and outdated equipment, as a result significantly increasing quality control over factory operations - all without changing existing production line equipment and process or retraining employees and staff. R&D & Business Partners: UNIST (Ulsan National Institute of Science and Technology), Sogang University (Institute of Mathematics), NIPA (National IT Industry Promotion Agency), Tata Group, Hanhwa Power Systems, Penta Security, Atlas Copco, Sisco, BMT Co Ltd and more. Main Customers: Nike, Adidas, Atlas Copco, Hanhwa Power Systems, Nitto, Humax, Shieldboard, Polychemie and more. WimFactory Page - http://www.wimfactory.com/index_v2_en.html

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