NEWSThe news from StellarCube, and the moments behind each new challenge.
Company announcements and press coverage in one place.
- PressPinned
StellarCube selected for Seoul Startup Hub's Boston Biohealth Global Expansion Program 2026
Defining PainCube's US market entry strategy through partnerships with local hospitals and industry
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StellarCube selected for TIPA Global R&D 2026, launching Korea–US joint research on PainCube with Johns Hopkins and Korea University
Targeting pain prediction 30–60 minutes in advance with AUROC of 0.90 or higher, alongside three years of clinical validation and global SaMD commercialization
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StellarCube's LinkedIn page is now open
We have opened an official LinkedIn page to share news from StellarCube more quickly.
- Press
StellarCube named a finalist in the IES 2026 Startup Pitch Competition in the US
Presenting research progress and the global development direction of the AI pain management platform PainCube
- Press
StellarCube selected for the Korea Venture Business Association's Gangnam-gu Global Startup IR Support Program
Accelerating global fundraising for the AI pain management platform PainCube
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StellarCube supports an AI cultural facility valuation service through Hansung University's capstone design program
Supporting VALUE TRIP, an AI recommendation web service that scores 21 cultural facilities in Seongsu-dong
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StellarCube signs a USD 12 million investment agreement with ACES for the PainX project
Accelerating global expansion in AI–bio converged healthcare
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StellarCube signs the main PainX development contract with Korea University College of Medicine (Anam Hospital)
Advancing business development for clinical validation and commercialization of AI-based pain prediction technology
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StellarCube drives innovation in culture and tourism with data and AI
Building a culture and tourism AI insight platform that combines telecom, payment and social media data
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StellarCube joins LG Uplus to develop a Seoul tourism dataset
Capturing the real voice of Seoul tourism through multilingual review sentiment analysis
