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DolbomDream Co., Ltd.

AI-Driven Contactless Biosignal Monitoring for Senior Healthcare and Lifelog Services

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Specialization

AI Senior-Care

Contactless Biosignal Sensing

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Keywords

BCG Sensor

Non-Contact Biometric Tracking

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Category

Digital Healthcare

AI-Based Care Solution

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Technology Introduction

Technology / Item Overview

  • DolbomDream (brand: Clomental) develops AI-based, non-contact biometric monitoring solutions designed for senior lifelog and healthcare management.

  • Its proprietary pneumatic BCG (Ballistocardiography) sensor measures heart rate, respiration, and stress in real time — without skin contact, ensuring comfort and privacy.

  • Products such as Dolbom Band and Dolbom Vest integrate with an AI engine for stress detection, emotion recognition, and fall/emergency alerts.

  • Certified by KOLAS for 100% measurement accuracy and reliability, confirming medical-grade precision without electrodes.

Owned Technology / Applied Products

(1) Owned Technology

  • Pneumatic BCG Sensor — detects micro-vibrations via sealed air tubes for continuous biometric monitoring.

  • AI Biosignal Engine — trained on high-resolution BCG datasets, applying template matching & wavelet transformation for signal interpretation.
  • KOLAS-certified measurement with over 21 IP rights (9 patents, 2 U.S. patents) and 50+ innovation awards including CES, Edison, and Forbes.

  • 100% non-contact, privacy-safe sensing with 3× usability and 5× lower cost than radar systems.


(2) Applied Products

  • Dolbom Band / Dolbom Vest: Wearable BCG devices for lifelog and emergency monitoring.

  • Lifelog Platform: Cloud-based data integration for caregivers and AI model updates.

  • Emotional Care Services: “Hug alert,” mental wellness reports, and phone-based comfort interactions.

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Development Needs & Value Proposition

(1) Problem Definition / Development Background

  • 30% of elderly deaths stem from delayed health detection or absence of real-time lifelog tracking.

  • Existing devices (smartwatches, CCTV, radar) face issues of comfort, privacy, and high cost.

(2) Value Proposition / Solution

  • DolbomDream replaces wearable discomfort and privacy invasion with AI-powered, contactless sensing.

  • Collects heartbeat, HRV, respiration, stress, and location data continuously and securely.

  • Enables multi-monitoring for caregivers, real-time emergency calls, and wellness insights.

  • Reduces false alerts and human intervention via adaptive AI that learns each user’s biometrics.

Competitiveness

  • Certified Reliability: KOLAS, CE, ISO9001, B-Corp, Venture, and Electromagnetic Wave Safety certifications.

  • AI Advantage: Proprietary biosignal preprocessing algorithm — inimitable even with hardware replicas.

  • Cost Efficiency: 5× cheaper than radar systems and 3× more usable than smartwatches.

  • Recognition: Winner of CES 2022 Innovation Award, Forbes 30 Under 30 Asia (Social Impact), and Edison Award 2024.

Company Performance & Business Status

Key References

  • Funding: Pre-A (USD 700K) | Series A Target: USD 3M (2025)

  • Product: Dolbom Band mass production contract (10,000 units / USD 10.3M per year).

  • Partnerships:

    • Samsung Electronics: AI server design & Galaxy Watch data integration.

    • SK Telecom: Co-developing national AI care platform (USD 34M project).

    • Google Korea: Joint marketing and algorithm enhancement support.

  • Registered as social venture and selected for government welfare device programs.

Overseas Experience

(1) PoC Progress

  • Europe: R&D with Czech Technical University (CTU-UCEEB) on personalized telemedicine.

  • USA: MOU with RMHC Korea (donation 5% revenue) for elderly monitoring in underserved areas.

  • Singapore: Local entity established; government investment secured.

  • Japan: Exhibited at H.C.R Assistive Device Expo 2024; expanding partnerships for senior welfare tech.
     

(2) Global Expansion

  • 2025: Launch of AI Care API with SKT ESG Team.

  • 2026–2027: Commercial rollout in North America, Singapore, Japan, and EU.

  • 2028: Planned KOSDAQ IPO following Series C (USD 25M).

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